From f17f800a032db8a77fe9529e90e8d5ef31737f44 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 25 Mar 2024 09:58:08 +0000
Subject: [PATCH 001/141] add preparation

---
 .github/workflows/build.yaml   | 1 +
 .github/workflows/preview.yaml | 2 +-
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/.github/workflows/build.yaml b/.github/workflows/build.yaml
index 8b49ac5..8b8d2a3 100644
--- a/.github/workflows/build.yaml
+++ b/.github/workflows/build.yaml
@@ -4,6 +4,7 @@ on:
   push:
     branches:
       - main
+      - preparation
       - postprint
 
 jobs:
diff --git a/.github/workflows/preview.yaml b/.github/workflows/preview.yaml
index 21ef3ae..d65d4e4 100644
--- a/.github/workflows/preview.yaml
+++ b/.github/workflows/preview.yaml
@@ -3,7 +3,7 @@ name: Preview
 on:
   workflow_run:
     workflows: ["Build and push container image"]
-    branches: [postprint]
+    branches: [preparation, postprint]
     types: [completed]
       
 # This job installs dependencies, build the jupyter notebook, and pushes it to `preview`, a new `branch`

From b9dd57a4caf548e9bfe09c432edfcf5a49480b78 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 25 Mar 2024 09:58:19 +0000
Subject: [PATCH 002/141] set values

---
 .github/config.json | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/.github/config.json b/.github/config.json
index d75c5db..ed76244 100644
--- a/.github/config.json
+++ b/.github/config.json
@@ -1,5 +1,5 @@
 {
-    "notebook_name": "",
-    "kernel": "",
-    "quay_image": ""
+    "notebook_name": "notebook.ipynb",
+    "kernel": "python",
+    "quay_image": "edsbook/67a1e320-7c47-4ea9-8df8-e868326bc90b"
 }
\ No newline at end of file

From 5fa097fb84534cb05d58ce214fbc3806836d4557 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 25 Mar 2024 10:12:16 +0000
Subject: [PATCH 003/141] set README

---
 README.md | 95 ++++++-------------------------------------------------
 1 file changed, 9 insertions(+), 86 deletions(-)

diff --git a/README.md b/README.md
index 5ed646a..917c9d7 100644
--- a/README.md
+++ b/README.md
@@ -1,88 +1,11 @@
-# Python Notebook Repository Template
+<div align="center">
+    <h6>Environmental Data Science Book</h6>
+</div>
 
-This is a template repository containing a Jupyter notebook with a `python` kernel. 
+<p align="center">
+<img src="https://github.com/alan-turing-institute/environmental-ds-book/blob/master/book/figures/logo/logo.png?raw=True" alt="thumbnail" width="200"/>
+</p>
 
-Please follow the instructions below to prepare your notebook repository to publish in EDS book. 
-
-Feel free to report bugs in the main EDS book repo ([here](https://github.com/alan-turing-institute/environmental-ds-book/issues/new/choose)).
-
-## How to use the template
-
-### :point_right: Step 1: Use the template
-
-Login to your GitHub account, and click on "Use this template". Choose a new name!
-
-<img src=".github/img/step1a.png" width="1229" />
- 
-Choose a new name for the repository and select the public option. Don’t choose include all branches. Then click in the Create repository from template.
-
-<img src=".github/img/step1b.png" width="767" />
-
-### :point_right: Step 2: Clone and edit 
-
-Clone the repo in your local/remote machine. You can follow some basics in Git commands in GitHub in The Turing Way (see [here](https://the-turing-way.netlify.app/reproducible-research/vcs/vcs-github.html?highlight=git%20commands%20work%20github)).
-
-``
-git clone <insert GitHub link of the repository here>
-``
-
-Create and checkout a branch with a name of your preference. 
-
-``
-git branch <branch name>
-git checkout <branch name>
-``
-
-Don't rename the filename of the notebook.
-
-Edit the notebook using the integrated development environment (IDE) of preference. We suggest visiting [Getting Started with Jupyter](https://foundations.projectpythia.org/foundations/getting-started-jupyter.html) by the Pythia project. 
-
-The minimal information in the edition refers to the proposed title and purpose of the notebook. Feel free to copy and paste the information filled when you submitted the Notebook Idea issue in the main EDS book repository.
-
-For instance, the following screenshot shows a notebook with minimal information requirement in `jupyter lab`. 
-
-<img src=".github/img/step2.png" width="1920" />
-
-### :point_right: Step 3: Open a Pull Request (PR)
-
-After editing the notebook with minimal information, you can create a PR to the main branch. If you aren’t familiar how to open a PR, we suggest following the guidelines in [Opening a Pull Request on GitHub](https://foundations.projectpythia.org/foundations/github/github-pull-request.html) by the Pythia project.
-
-The PR will trigger a GitHub action workflow that posts a comment inside the PR. The comment contains a "Test this PR on Binder" badge, which can be used to access the image defined by the PR in mybinder.org.
-
-### :point_right: Step 4: Test in Binder
-
-The workflow posts a comment inside a pull request, every time a pull request gets opened. The comment contains a "Test this PR on Binder" badge, which can be used to access the image defined by the PR in mybinder.org.
-
-<img src=".github/img/step4.png" width="923" />
-
-### :point_right: Step 5 - Update 
-You can update the notebook as many times you want within the same PR. You can also open a new PR, but make sure you merge or close previous PR. 
-
-To start adding the notebook dependencies, you must update the `environment.yml` file. For instance, the screenshot below we pushed an `Update notebook.ipnyb` commit related to importing a new library in the Load libraries section. 
-
-<img src=".github/img/step5.png" width="923" />
-
-When the minimal working version of the notebook is ready, you should tag Editors-in-Chief (EiC) in the PR with the latest Binder badge. EiC will check how reproducible is the notebook and its feasibility for the reviewing stage.
-
-After EiC’s approval of the draft version of the notebook, you transfer the notebook repository to the eds-book-gallery organisation. 
-
-EiC will assist you to prepare the notebook repository for the review process.
-
-### :point_right: Step 6 - Transfer 
-
-When the first draft of the notebook is ready and reproducible in Binder, please transfer to the eds-book-gallery organisation. 
-* Go to settings
-* Click on Transfer 
-* Type `eds-book-gallery` in the organisation name
-* Type the name of your repository to confirm
-* Click in I understand, transfer this repository
-
-<img src=".github/img/step6.png" width="755" />
-
-### :point_right: Step 7 - Reviewing process
-EiC will open a PRE-REVIEW issue where a handling editor and authors suggest reviewers. The editor can give initial directions to authors for improving the notebook, especially if the notebook lacks some requested sections. Once reviewers agreed on the revision, EiC opens a REVIEW issue.
-
-We suggest to read further details of the REVIEW process in the publishing guidelines (see [here](https://github.com/alan-turing-institute/environmental-ds-book/blob/master/book/publishing/guidelines/guidelines-authors.md)). 
-
-## Credits
-This template uses [2i2c’s hub-user-image-template](https://github.com/2i2c-org/hub-user-image-template) released under BSD-3-Clause license. We also acknowledge the [static-export-template](https://github.com/JuliaPluto/static-export-template) of Julia Pluto, in particular the well-documented README file.
+<div align="center">
+    <h1>Sea ice forecasting using the IceNet library</h1>
+</div>

From f469e4afc9e872a85e06a55f1fc7b695daffc7fd Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 25 Mar 2024 10:36:10 +0000
Subject: [PATCH 004/141] move environment.yml to binder

---
 environment.yml => .binder/environment.yml | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename environment.yml => .binder/environment.yml (100%)

diff --git a/environment.yml b/.binder/environment.yml
similarity index 100%
rename from environment.yml
rename to .binder/environment.yml

From 8ff730556bb1ecb00734d5f40be7b49b50a97480 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 25 Mar 2024 10:36:50 +0000
Subject: [PATCH 005/141] rename environment.yml name

---
 .binder/environment.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.binder/environment.yml b/.binder/environment.yml
index 6db7525..9428fbd 100644
--- a/.binder/environment.yml
+++ b/.binder/environment.yml
@@ -1,4 +1,4 @@
-name: icenet-edsbook
+name: 67a1e320-7c47-4ea9-8df8-e868326bc90b
 channels:
   - conda-forge
   - defaults

From 9df71be99d541b1a81948191c73d3c861dca8c96 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 25 Mar 2024 10:37:12 +0000
Subject: [PATCH 006/141] remove img folder

---
 .github/img/step1a.png | Bin 39558 -> 0 bytes
 .github/img/step1b.png | Bin 79438 -> 0 bytes
 .github/img/step2.png  | Bin 199536 -> 0 bytes
 .github/img/step4.png  | Bin 65959 -> 0 bytes
 .github/img/step5.png  | Bin 99126 -> 0 bytes
 .github/img/step6.png  | Bin 69781 -> 0 bytes
 6 files changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 .github/img/step1a.png
 delete mode 100644 .github/img/step1b.png
 delete mode 100644 .github/img/step2.png
 delete mode 100644 .github/img/step4.png
 delete mode 100644 .github/img/step5.png
 delete mode 100644 .github/img/step6.png

diff --git a/.github/img/step1a.png b/.github/img/step1a.png
deleted file mode 100644
index 6266e3f0d128e91872c8a04602022b2e27935426..0000000000000000000000000000000000000000
GIT binary patch
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From 5fb94bfe7295983b700df594ad259149af861015 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 25 Mar 2024 11:19:15 +0000
Subject: [PATCH 007/141] remove unused file

---
 clean_outputs.sh | 10 ----------
 1 file changed, 10 deletions(-)
 delete mode 100755 clean_outputs.sh

diff --git a/clean_outputs.sh b/clean_outputs.sh
deleted file mode 100755
index cc7912a..0000000
--- a/clean_outputs.sh
+++ /dev/null
@@ -1,10 +0,0 @@
-#!/usr/bin/env bash
-
-echo "Cleaning notebook outputs"
-
-rm -rv logs/
-rm -rv network_datasets/
-rm -rv notebook/
-rm -rv processed/
-rm -rv results/
-rm -v *.{csv,json,log}

From 5f6b2b4c367e3add2acc1383962a6633d686971d Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 25 Mar 2024 12:43:00 +0000
Subject: [PATCH 008/141] remove create notebook folder

---
 notebook.ipynb | 33 ++-------------------------------
 1 file changed, 2 insertions(+), 31 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 8e899dc..5129723 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -81,10 +81,7 @@
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -145,29 +142,6 @@
     "%env PYTHONWARNINGS=ignore"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Set project structure"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
-   },
-   "outputs": [],
-   "source": [
-    "notebook_folder = './notebook'\n",
-    "if not os.path.exists(notebook_folder):\n",
-    "    os.makedirs(notebook_folder)"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -7864,10 +7838,7 @@
    "cell_type": "code",
    "execution_count": 27,
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {

From ec50b1264e37efdb286a148fa2027ba73ea47e35 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 25 Mar 2024 12:53:04 +0000
Subject: [PATCH 009/141] move good_forecast to data

---
 good_forecast.nc => data/good_forecast.nc | Bin
 notebook.ipynb                            |   2 +-
 2 files changed, 1 insertion(+), 1 deletion(-)
 rename good_forecast.nc => data/good_forecast.nc (100%)

diff --git a/good_forecast.nc b/data/good_forecast.nc
similarity index 100%
rename from good_forecast.nc
rename to data/good_forecast.nc
diff --git a/notebook.ipynb b/notebook.ipynb
index 5129723..5638068 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -7767,7 +7767,7 @@
     }
    ],
    "source": [
-    "plot_result(\"good_forecast.nc\")"
+    "plot_result(\"data/good_forecast.nc\")"
    ]
   },
   {

From 9d505c0e64d469bec93cea31e1ffb07a9aba43d4 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 25 Mar 2024 12:56:18 +0000
Subject: [PATCH 010/141] restore good_forecast.nc

---
 data/good_forecast.nc => good_forecast.nc | Bin
 notebook.ipynb                            |   2 +-
 2 files changed, 1 insertion(+), 1 deletion(-)
 rename data/good_forecast.nc => good_forecast.nc (100%)

diff --git a/data/good_forecast.nc b/good_forecast.nc
similarity index 100%
rename from data/good_forecast.nc
rename to good_forecast.nc
diff --git a/notebook.ipynb b/notebook.ipynb
index 5638068..5129723 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -7767,7 +7767,7 @@
     }
    ],
    "source": [
-    "plot_result(\"data/good_forecast.nc\")"
+    "plot_result(\"good_forecast.nc\")"
    ]
   },
   {

From 03db0c0bf744136bdda4ec00a415da567b681c12 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Wed, 27 Mar 2024 14:39:06 +0000
Subject: [PATCH 011/141] Simplified conda environment

---
 environment.yml | 247 ++----------------------------------------------
 1 file changed, 6 insertions(+), 241 deletions(-)

diff --git a/environment.yml b/environment.yml
index 6db7525..e0035db 100644
--- a/environment.yml
+++ b/environment.yml
@@ -3,245 +3,10 @@ channels:
   - conda-forge
   - defaults
 dependencies:
-  - _libgcc_mutex=0.1=conda_forge
-  - _openmp_mutex=4.5=2_gnu
-  - absl-py=2.1.0=pyhd8ed1ab_0
-  - aiohttp=3.9.3=py311h459d7ec_0
-  - aiosignal=1.3.1=pyhd8ed1ab_0
-  - asttokens=2.4.1=pyhd8ed1ab_0
-  - astunparse=1.6.3=pyhd8ed1ab_0
-  - attrs=23.2.0=pyh71513ae_0
-  - blinker=1.7.0=pyhd8ed1ab_0
-  - blosc=1.21.5=h0f2a231_0
-  - brotli-python=1.1.0=py311hb755f60_1
-  - bzip2=1.0.8=h5eee18b_5
-  - c-ares=1.27.0=hd590300_0
-  - ca-certificates=2024.2.2=hbcca054_0
-  - cached-property=1.5.2=hd8ed1ab_1
-  - cached_property=1.5.2=pyha770c72_1
-  - cachetools=5.3.3=pyhd8ed1ab_0
-  - certifi=2024.2.2=pyhd8ed1ab_0
-  - cffi=1.16.0=py311hb3a22ac_0
-  - charset-normalizer=3.3.2=pyhd8ed1ab_0
-  - click=8.1.7=unix_pyh707e725_0
-  - cloudpickle=3.0.0=pyhd8ed1ab_0
-  - comm=0.2.2=pyhd8ed1ab_0
-  - cryptography=42.0.5=py311h63ff55d_0
-  - debugpy=1.8.1=py311hb755f60_0
-  - decorator=5.1.1=pyhd8ed1ab_0
-  - dm-tree=0.1.8=py311hbec7ed6_0
-  - eccodes=2.34.1=he84ddb8_0
-  - exceptiongroup=1.2.0=pyhd8ed1ab_2
-  - executing=2.0.1=pyhd8ed1ab_0
-  - findlibs=0.0.5=pyhd8ed1ab_0
-  - flatbuffers=23.5.26=h59595ed_1
-  - freeglut=3.2.2=hac7e632_2
-  - frozenlist=1.4.1=py311h459d7ec_0
-  - gast=0.5.4=pyhd8ed1ab_0
-  - giflib=5.2.1=h0b41bf4_3
-  - google-auth=2.28.2=pyhca7485f_0
-  - google-auth-oauthlib=1.0.0=pyhd8ed1ab_1
-  - google-pasta=0.2.0=pyh8c360ce_0
-  - grpcio=1.54.3=py311hcafe171_0
-  - h5py=3.10.0=nompi_py311hebc2b07_101
-  - hdf4=4.2.15=h2a13503_7
-  - hdf5=1.14.3=nompi_h4f84152_100
-  - icu=73.2=h59595ed_0
-  - idna=3.6=pyhd8ed1ab_0
-  - importlib-metadata=7.0.2=pyha770c72_0
-  - importlib_metadata=7.0.2=hd8ed1ab_0
-  - ipykernel=6.29.3=pyhd33586a_0
-  - ipython=8.22.2=pyh707e725_0
-  - jasper=4.2.2=he6dfbbe_0
-  - jax=0.4.25=pyhd8ed1ab_0
-  - jaxlib=0.4.23=py311h6a678d5_0
-  - jedi=0.19.1=pyhd8ed1ab_0
-  - jupyter_client=8.6.1=pyhd8ed1ab_0
-  - jupyter_core=5.7.2=py311h38be061_0
-  - keras=2.13.1=pyhd8ed1ab_0
-  - keyutils=1.6.1=h166bdaf_0
-  - krb5=1.21.2=h659d440_0
-  - ld_impl_linux-64=2.38=h1181459_1
-  - libabseil=20230125.3=cxx17_h59595ed_0
-  - libaec=1.1.2=h59595ed_1
-  - libblas=3.9.0=21_linux64_openblas
-  - libcblas=3.9.0=21_linux64_openblas
-  - libcurl=8.5.0=hca28451_0
-  - libedit=3.1.20191231=he28a2e2_2
-  - libev=4.33=hd590300_2
-  - libffi=3.4.4=h6a678d5_0
-  - libgcc-ng=13.2.0=h807b86a_5
-  - libgfortran-ng=13.2.0=h69a702a_5
-  - libgfortran5=13.2.0=ha4646dd_5
-  - libglu=9.0.0=hac7e632_1003
-  - libgomp=13.2.0=h807b86a_5
-  - libgrpc=1.54.3=hb20ce57_0
-  - libiconv=1.17=hd590300_2
-  - libjpeg-turbo=3.0.0=hd590300_1
-  - liblapack=3.9.0=21_linux64_openblas
-  - libnetcdf=4.9.2=nompi_h9612171_113
-  - libnghttp2=1.58.0=h47da74e_1
-  - libopenblas=0.3.26=pthreads_h413a1c8_0
-  - libpng=1.6.43=h2797004_0
-  - libprotobuf=3.21.12=hfc55251_2
-  - libsodium=1.0.18=h36c2ea0_1
-  - libsqlite=3.45.2=h2797004_0
-  - libssh2=1.11.0=h0841786_0
-  - libstdcxx-ng=13.2.0=h7e041cc_5
-  - libuuid=1.41.5=h5eee18b_0
-  - libxcb=1.15=h0b41bf4_0
-  - libxml2=2.12.5=h232c23b_0
-  - libzip=1.10.1=h2629f0a_3
-  - libzlib=1.2.13=hd590300_5
-  - lz4-c=1.9.4=hcb278e6_0
-  - markdown=3.6=pyhd8ed1ab_0
-  - markupsafe=2.1.5=py311h459d7ec_0
-  - matplotlib-inline=0.1.6=pyhd8ed1ab_0
-  - ml_dtypes=0.3.2=py311h320fe9a_0
-  - multidict=6.0.5=py311h459d7ec_0
-  - ncurses=6.4=h6a678d5_0
-  - nest-asyncio=1.6.0=pyhd8ed1ab_0
-  - numpy=1.26.4=py311h64a7726_0
-  - oauthlib=3.2.2=pyhd8ed1ab_0
-  - openssl=3.2.1=hd590300_0
-  - opt-einsum=3.3.0=hd8ed1ab_2
-  - opt_einsum=3.3.0=pyhc1e730c_2
-  - packaging=24.0=pyhd8ed1ab_0
-  - parso=0.8.3=pyhd8ed1ab_0
-  - pexpect=4.9.0=pyhd8ed1ab_0
-  - pickleshare=0.7.5=py_1003
-  - pip=23.3.1=py311h06a4308_0
-  - platformdirs=4.2.0=pyhd8ed1ab_0
-  - prompt-toolkit=3.0.42=pyha770c72_0
-  - protobuf=4.21.12=py311hcafe171_0
-  - psutil=5.9.8=py311h459d7ec_0
-  - pthread-stubs=0.4=h36c2ea0_1001
-  - ptyprocess=0.7.0=pyhd3deb0d_0
-  - pure_eval=0.2.2=pyhd8ed1ab_0
-  - pyasn1=0.5.1=pyhd8ed1ab_0
-  - pyasn1-modules=0.3.0=pyhd8ed1ab_0
-  - pycparser=2.21=pyhd8ed1ab_0
-  - pygments=2.17.2=pyhd8ed1ab_0
-  - pyjwt=2.8.0=pyhd8ed1ab_1
-  - pyopenssl=24.0.0=pyhd8ed1ab_0
-  - pysocks=1.7.1=pyha2e5f31_6
-  - python=3.11.8=h955ad1f_0
-  - python-eccodes=1.7.0=py311h1f0f07a_0
-  - python-flatbuffers=24.3.7=pyh59ac667_0
-  - python_abi=3.11=2_cp311
-  - pyu2f=0.1.5=pyhd8ed1ab_0
-  - pyzmq=25.1.2=py311h34ded2d_0
-  - re2=2023.03.02=h8c504da_0
-  - readline=8.2=h5eee18b_0
-  - requests=2.31.0=pyhd8ed1ab_0
-  - requests-oauthlib=1.4.0=pyhd8ed1ab_0
-  - rsa=4.9=pyhd8ed1ab_0
-  - scipy=1.12.0=py311h64a7726_2
-  - setuptools=68.2.2=py311h06a4308_0
-  - six=1.16.0=pyh6c4a22f_0
-  - snappy=1.1.10=h9fff704_0
-  - sqlite=3.41.2=h5eee18b_0
-  - stack_data=0.6.2=pyhd8ed1ab_0
-  - tensorboard=2.13.0=pyhd8ed1ab_0
-  - tensorboard-data-server=0.7.0=py311h63ff55d_1
-  - tensorflow=2.13.1=cpu_py311h4b67847_1
-  - tensorflow-base=2.13.1=cpu_py311ha0be21f_1
-  - tensorflow-estimator=2.13.1=cpu_py311ha26c8b9_1
-  - tensorflow-probability=0.21.0=pyh4af843d_1
-  - termcolor=2.4.0=pyhd8ed1ab_0
-  - tk=8.6.12=h1ccaba5_0
-  - tornado=6.4=py311h459d7ec_0
-  - traitlets=5.14.2=pyhd8ed1ab_0
-  - typing_extensions=4.5.0=pyha770c72_0
-  - urllib3=2.2.1=pyhd8ed1ab_0
-  - wcwidth=0.2.13=pyhd8ed1ab_0
-  - werkzeug=3.0.1=pyhd8ed1ab_0
-  - wheel=0.41.2=py311h06a4308_0
-  - wrapt=1.16.0=py311h459d7ec_0
-  - xorg-fixesproto=5.0=h7f98852_1002
-  - xorg-inputproto=2.3.2=h7f98852_1002
-  - xorg-kbproto=1.0.7=h7f98852_1002
-  - xorg-libx11=1.8.7=h8ee46fc_0
-  - xorg-libxau=1.0.11=hd590300_0
-  - xorg-libxdmcp=1.1.3=h7f98852_0
-  - xorg-libxext=1.3.4=h0b41bf4_2
-  - xorg-libxfixes=5.0.3=h7f98852_1004
-  - xorg-libxi=1.7.10=h7f98852_0
-  - xorg-xextproto=7.3.0=h0b41bf4_1003
-  - xorg-xproto=7.0.31=h7f98852_1007
-  - xz=5.4.6=h5eee18b_0
-  - yarl=1.9.4=py311h459d7ec_0
-  - zeromq=4.3.5=h59595ed_1
-  - zipp=3.17.0=pyhd8ed1ab_0
-  - zlib=1.2.13=hd590300_5
-  - zstd=1.5.5=hfc55251_0
+  - eccodes
+  - pip
+  - python<3.11.8
   - pip:
-      - affine==2.4.0
-      - antlr4-python3-runtime==4.7.2
-      - asciitree==0.3.3
-      - azure-core==1.29.1
-      - azure-storage-blob==12.19.1
-      - beautifulsoup4==4.12.3
-      - cartopy==0.22.0
-      - cdsapi==0.6.1
-      - cf-units==3.2.0
-      - cfgrib==0.9.10.4
-      - cftime==1.6.3
-      - click-plugins==1.1.1
-      - cligj==0.7.2
-      - contourpy==1.2.0
-      - cycler==0.12.1
-      - dask==2024.2.0
-      - distributed==2024.2.0
-      - docopt==0.6.2
-      - ecmwf-api-client==1.6.3
-      - fasteners==0.19
-      - fonttools==4.49.0
-      - fsspec==2024.2.0
-      - h5netcdf==1.3.0
-      - ibicus==1.1.1
-      - git+https://github.com/icenet-ai/icenet@3654dc4954eca6d28e16b4876bd6538abd1f0c06
-      - isodate==0.6.1
-      - jinja2==3.1.3
-      - joblib==1.3.2
-      - kiwisolver==1.4.5
-      - locket==1.0.0
-      - matplotlib==3.8.3
-      - motuclient==3.0.0
-      - msgpack==1.0.8
-      - netcdf4==1.6.5
-      - numcodecs==0.12.1
-      - pandas==2.2.1
-      - partd==1.4.1
-      - patsy==0.5.6
-      - pillow==10.2.0
-      - plotly==5.20.0
-      - pooch==1.8.1
-      - pydap==3.4.1
-      - pyparsing==3.1.2
-      - pyproj==3.6.1
-      - pyshp==2.3.1
-      - python-dateutil==2.9.0.post0
-      - pytz==2024.1
-      - pyyaml==6.0.1
-      - rasterio==1.3.9
-      - rioxarray==0.15.1
-      - scikit-learn==1.4.1.post1
-      - scitools-iris==3.8.1
-      - seaborn==0.13.2
-      - shapely==2.0.3
-      - snuggs==1.4.7
-      - sortedcontainers==2.4.0
-      - soupsieve==2.5
-      - statsmodels==0.14.1
-      - tblib==3.0.0
-      - tenacity==8.2.3
-      - threadpoolctl==3.3.0
-      - toolz==0.12.1
-      - tqdm==4.66.2
-      - tzdata==2024.1
-      - webob==1.8.7
-      - xarray==2024.2.0
-      - xxhash==3.4.1
-      - zarr==2.17.1
-      - zict==3.0.0
+      - icenet @ git+https://github.com/icenet-ai/icenet@3654dc4954eca6d28e16b4876bd6538abd1f0c06
+      - tensorflow<=2.15.1
+      - netCDF4<=1.6.0

From 499b021b9c58171e0ce7d1c511c9190174861a3d Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Wed, 27 Mar 2024 14:43:53 +0000
Subject: [PATCH 012/141] Update env file

---
 environment.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/environment.yml b/environment.yml
index e0035db..0de73a5 100644
--- a/environment.yml
+++ b/environment.yml
@@ -3,10 +3,10 @@ channels:
   - conda-forge
   - defaults
 dependencies:
-  - eccodes
   - pip
   - python<3.11.8
   - pip:
       - icenet @ git+https://github.com/icenet-ai/icenet@3654dc4954eca6d28e16b4876bd6538abd1f0c06
       - tensorflow<=2.15.1
       - netCDF4<=1.6.0
+      - ecmwflibs==0.6.3

From 3416356a0c04ff6a2049740fc8a3c4a4944b3a16 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Wed, 27 Mar 2024 15:02:04 +0000
Subject: [PATCH 013/141] Update env file

---
 environment.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/environment.yml b/environment.yml
index 0de73a5..9316da9 100644
--- a/environment.yml
+++ b/environment.yml
@@ -3,6 +3,7 @@ channels:
   - conda-forge
   - defaults
 dependencies:
+  - hdf5=1.14.3
   - pip
   - python<3.11.8
   - pip:

From 1b41c34bd26691d56eeab1bda07707b98345b6fd Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Wed, 27 Mar 2024 15:08:52 +0000
Subject: [PATCH 014/141] Update env file

---
 environment.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/environment.yml b/environment.yml
index 9316da9..a5e6dcd 100644
--- a/environment.yml
+++ b/environment.yml
@@ -3,6 +3,7 @@ channels:
   - conda-forge
   - defaults
 dependencies:
+  - hdf4=4.2.15
   - hdf5=1.14.3
   - pip
   - python<3.11.8

From b8736e8479877c61244297a0ce644fe4b509e8ca Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Wed, 27 Mar 2024 15:17:27 +0000
Subject: [PATCH 015/141] Update env file

---
 environment.yml | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/environment.yml b/environment.yml
index a5e6dcd..4f188d8 100644
--- a/environment.yml
+++ b/environment.yml
@@ -3,12 +3,10 @@ channels:
   - conda-forge
   - defaults
 dependencies:
-  - hdf4=4.2.15
-  - hdf5=1.14.3
+  - netCDF4=1.6.0
   - pip
   - python<3.11.8
   - pip:
       - icenet @ git+https://github.com/icenet-ai/icenet@3654dc4954eca6d28e16b4876bd6538abd1f0c06
       - tensorflow<=2.15.1
-      - netCDF4<=1.6.0
       - ecmwflibs==0.6.3

From 50adcac1e8a03406dbc2996c0ba97d2588791bb5 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Wed, 27 Mar 2024 15:50:36 +0000
Subject: [PATCH 016/141] Update tensorflow in env file

---
 environment.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/environment.yml b/environment.yml
index 4f188d8..5fc6cc8 100644
--- a/environment.yml
+++ b/environment.yml
@@ -8,5 +8,5 @@ dependencies:
   - python<3.11.8
   - pip:
       - icenet @ git+https://github.com/icenet-ai/icenet@3654dc4954eca6d28e16b4876bd6538abd1f0c06
-      - tensorflow<=2.15.1
+      - tensorflow<=2.13.1
       - ecmwflibs==0.6.3

From 250e452c5907dfe9d0886538cb18ae7025c561fa Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Wed, 27 Mar 2024 16:28:31 +0000
Subject: [PATCH 017/141] Switch to conda for tensorflow install

---
 environment.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/environment.yml b/environment.yml
index 5fc6cc8..19dcacc 100644
--- a/environment.yml
+++ b/environment.yml
@@ -6,7 +6,7 @@ dependencies:
   - netCDF4=1.6.0
   - pip
   - python<3.11.8
+  - tensorflow=2.13.1
   - pip:
       - icenet @ git+https://github.com/icenet-ai/icenet@3654dc4954eca6d28e16b4876bd6538abd1f0c06
-      - tensorflow<=2.13.1
       - ecmwflibs==0.6.3

From 3048ef6145fb9bf8134194972eb2631cdf0d26bf Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Wed, 27 Mar 2024 16:39:01 +0000
Subject: [PATCH 018/141] Switch to tensorflow-cpu instead of default cuda

---
 environment.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/environment.yml b/environment.yml
index 19dcacc..81fcfaa 100644
--- a/environment.yml
+++ b/environment.yml
@@ -6,7 +6,7 @@ dependencies:
   - netCDF4=1.6.0
   - pip
   - python<3.11.8
-  - tensorflow=2.13.1
+  - tensorflow-cpu=2.13.1
   - pip:
       - icenet @ git+https://github.com/icenet-ai/icenet@3654dc4954eca6d28e16b4876bd6538abd1f0c06
       - ecmwflibs==0.6.3

From 1c765d65b120646c6701f7c35c0a89ad49c7b423 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Wed, 27 Mar 2024 17:51:15 +0000
Subject: [PATCH 019/141] Potentially fix clean env dependencies

---
 environment.yml | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/environment.yml b/environment.yml
index 81fcfaa..9c998e2 100644
--- a/environment.yml
+++ b/environment.yml
@@ -3,10 +3,11 @@ channels:
   - conda-forge
   - defaults
 dependencies:
-  - netCDF4=1.6.0
+  - libnetcdf
   - pip
-  - python<3.11.8
-  - tensorflow-cpu=2.13.1
+  - python<3.12
+  - "tensorflow<2.16=cpu*"
   - pip:
       - icenet @ git+https://github.com/icenet-ai/icenet@3654dc4954eca6d28e16b4876bd6538abd1f0c06
-      - ecmwflibs==0.6.3
+      - ecmwflibs
+      - netCDF4==1.6.0

From 436f511b33862d7f949d994b267d6b914c530aec Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Fri, 19 Apr 2024 15:23:28 +0100
Subject: [PATCH 020/141] add warning markdown cell

---
 notebook.ipynb | 15 +++++++++++++--
 1 file changed, 13 insertions(+), 2 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 5129723..68719cb 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -2,7 +2,15 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "source": [
+    "<div class=\\\"alert alert-block alert-warning\\\"> <b>Authors and Reviewers</b>. This is the notebook version for review. We will remove this markdown cell after the peer-review. </div>"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "markdown",
    "source": [
     "# Sea ice forecasting using the IceNet library\n",
     "\n",
@@ -59,7 +67,10 @@
     "\n",
     "#### Involved organisations\n",
     "The Alan Turing Institute and British Antarctic Survey"
-   ]
+   ],
+   "metadata": {
+    "collapsed": false
+   }
   },
   {
    "cell_type": "markdown",

From 8560d2ca616079cf822436e27eb936b4e359c8ab Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Fri, 19 Apr 2024 15:40:16 +0100
Subject: [PATCH 021/141] fix warning markdown cell

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 68719cb..1f7310f 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -3,7 +3,7 @@
   {
    "cell_type": "markdown",
    "source": [
-    "<div class=\\\"alert alert-block alert-warning\\\"> <b>Authors and Reviewers</b>. This is the notebook version for review. We will remove this markdown cell after the peer-review. </div>"
+    "<div class=\"alert alert-block alert-warning\"> <b>Authors and Reviewers</b>. This is the notebook version for review. We will remove this markdown cell after the peer-review. </div>"
    ],
    "metadata": {
     "collapsed": false

From 6b2c26b00511fd09ac9fc6b25cb8a6729668417d Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Tue, 30 Apr 2024 20:44:28 +0100
Subject: [PATCH 022/141] Update conda env dependencies

---
 environment.yml | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/environment.yml b/environment.yml
index 9c998e2..5c03081 100644
--- a/environment.yml
+++ b/environment.yml
@@ -3,11 +3,13 @@ channels:
   - conda-forge
   - defaults
 dependencies:
+  - cf-units
   - libnetcdf
+  - netcdf4=1.6.0
   - pip
   - python<3.12
   - "tensorflow<2.16=cpu*"
   - pip:
-      - icenet @ git+https://github.com/icenet-ai/icenet@3654dc4954eca6d28e16b4876bd6538abd1f0c06
       - ecmwflibs
-      - netCDF4==1.6.0
+      - icenet @ git+https://github.com/icenet-ai/icenet@3654dc4954eca6d28e16b4876bd6538abd1f0c06
+      - notebook

From b913af82c87d0af5b16c9898635cdff0f1d4dc29 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Sun, 2 Jun 2024 16:20:52 +0100
Subject: [PATCH 023/141] Fixes #3: Add CITATION.cff

---
 CITATION.cff | 55 ++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 55 insertions(+)
 create mode 100644 CITATION.cff

diff --git a/CITATION.cff b/CITATION.cff
new file mode 100644
index 0000000..769d87b
--- /dev/null
+++ b/CITATION.cff
@@ -0,0 +1,55 @@
+cff-version: 1.2.0
+title: icenet-edsbook
+message: >-
+  A Jupyter notebook demonstrator of the IceNet python
+  library for sea-ice forecasting, going from data download
+  to forecast generation.
+
+  If you use this software, please cite it as below.
+type: software
+authors:
+  - given-names: James
+    family-names: Byrne
+    email: jambyr@bas.ac.uk
+    affiliation: British Antarctic Survey
+    orcid: "https://orcid.org/0000-0003-3731-2377"
+  - given-names: Bryn
+    family-names: Ubald
+    email: bryald@bas.ac.uk
+    affiliation: British Antarctic Survey
+    orcid: "https://orcid.org/0000-0002-0206-7140"
+identifiers:
+  - type: doi
+    value: 10.1038/s41467-021-25257-4
+    description: Original paper on IceNet
+repository-code: >-
+  https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b
+url: "https://icenet.ai/"
+repository: "https://github.com/icenet-ai/icenet"
+abstract: >-
+  IceNet is a python library that provides the ability to
+  download, process, train and predict from end to end.
+  Users can interact with IceNet either via the python
+  interface or via a set of command-line interfaces (CLI)
+  which provide a high-level interface that covers the above
+  abilities.
+
+
+  This project demonstrates the use of the python library
+  API for forecasting sea ice for a reduced dataset to
+  demonstrate the end-to-end capabilities of IceNet, from
+  source data download to forecast generation.
+keywords:
+  - sea-ice
+  - forecast
+  - cryosphere
+  - antarctic
+  - arctic
+  - ice
+  - machine learning
+  - unet
+  - deep learning
+license: MIT
+commit: TBC
+version: TBC
+date-released: "2024-05-02"

From 94a362d809a74ff8e030e1d9b0e86976b5df4a00 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Sun, 2 Jun 2024 16:40:45 +0100
Subject: [PATCH 024/141] Fixes #4: Add section on supported OS platforms

---
 notebook.ipynb | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/notebook.ipynb b/notebook.ipynb
index 5129723..be468e7 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -26,6 +26,14 @@
     " * [5. Predict](#Predict) for defined dates.\n",
     " * [6. Visualisation](#Visualisation) of the prediction output.\n",
     "\n",
+    "### Compatible OS platforms\n",
+    "\n",
+    "The `IceNet` library is designed to be run within a Unix environment, and, as such, this notebook has been tested on the following OS platforms:\n",
+    "* Linux x64\n",
+    "* macOS (Intel and Apple Silicon)\n",
+    "\n",
+    "Windows is not supported, however, [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) should work, but is untested.\n",
+    "\n",
     "### Contributions\n",
     "\n",
     "#### Notebook\n",

From d49408740c14e501a6b8f5473d04da81f52939d7 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Sun, 2 Jun 2024 16:42:37 +0100
Subject: [PATCH 025/141] Fixes 3: Add ORCID to notebook as well

---
 notebook.ipynb | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index be468e7..cac3fe2 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -37,8 +37,8 @@
     "### Contributions\n",
     "\n",
     "#### Notebook\n",
-    "* James Byrne (author), British Antarctic Survey, [@JimCircadian](https://github.com/JimCircadian)\n",
-    "* Bryn Noel Ubald (author), British Antarctic Survey, [@bnubald](https://github.com/bnubald)\n",
+    "* James Byrne (author), British Antarctic Survey, [@JimCircadian](https://github.com/JimCircadian), [ORCID](https://orcid.org/0000-0003-3731-2377)\n",
+    "* Bryn Noel Ubald (author), British Antarctic Survey, [@bnubald](https://github.com/bnubald), [ORCID](https://orcid.org/0000-0002-0206-7140)\n",
     "\n",
     "#### Modelling codebase\n",
     "* James Byrne (Code author)\n",

From 1359fb3e7acd2824614d8af2f604f0c485e2c76b Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Sun, 2 Jun 2024 16:54:56 +0100
Subject: [PATCH 026/141] Fixes #4: Update OS section with note on not
 mandating GPU

---
 notebook.ipynb | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index cac3fe2..e9bdeaa 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -26,7 +26,7 @@
     " * [5. Predict](#Predict) for defined dates.\n",
     " * [6. Visualisation](#Visualisation) of the prediction output.\n",
     "\n",
-    "### Compatible OS platforms\n",
+    "### Compatible platforms\n",
     "\n",
     "The `IceNet` library is designed to be run within a Unix environment, and, as such, this notebook has been tested on the following OS platforms:\n",
     "* Linux x64\n",
@@ -34,6 +34,8 @@
     "\n",
     "Windows is not supported, however, [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) should work, but is untested.\n",
     "\n",
+    "In terms of hardware, this notebook (and IceNet in general) will run only on CPU, however, when attempling a larger training run, the use of a GPU is highly recommended.\n",
+    "\n",
     "### Contributions\n",
     "\n",
     "#### Notebook\n",

From 2672038796e7c51e94751064cbdcdf6f103f2ca8 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Sun, 2 Jun 2024 17:44:35 +0100
Subject: [PATCH 027/141] Fixes #4: Update OS platform section

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index e9bdeaa..f34a225 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -34,7 +34,7 @@
     "\n",
     "Windows is not supported, however, [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) should work, but is untested.\n",
     "\n",
-    "In terms of hardware, this notebook (and IceNet in general) will run only on CPU, however, when attempling a larger training run, the use of a GPU is highly recommended.\n",
+    "In terms of hardware, this notebook (and IceNet in general) does not require a GPU, however, when attempting a larger training run, the use of a GPU is highly recommended.\n",
     "\n",
     "### Contributions\n",
     "\n",

From 886494e689ab722252d93cb90494ab4ad77c3bc6 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Sun, 2 Jun 2024 17:45:01 +0100
Subject: [PATCH 028/141] Fixes 3: Update CITATION.cff

---
 CITATION.cff | 9 ++-------
 1 file changed, 2 insertions(+), 7 deletions(-)

diff --git a/CITATION.cff b/CITATION.cff
index 769d87b..bb46281 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -1,11 +1,6 @@
 cff-version: 1.2.0
 title: icenet-edsbook
-message: >-
-  A Jupyter notebook demonstrator of the IceNet python
-  library for sea-ice forecasting, going from data download
-  to forecast generation.
-
-  If you use this software, please cite it as below.
+message: "If you use this software, please cite it as below."
 type: software
 authors:
   - given-names: James
@@ -13,7 +8,7 @@ authors:
     email: jambyr@bas.ac.uk
     affiliation: British Antarctic Survey
     orcid: "https://orcid.org/0000-0003-3731-2377"
-  - given-names: Bryn
+  - given-names: Bryn Noel
     family-names: Ubald
     email: bryald@bas.ac.uk
     affiliation: British Antarctic Survey

From 8869ad6d635f6f431ea6126593a6028a94054948 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Sun, 2 Jun 2024 18:18:55 +0100
Subject: [PATCH 029/141] Fixes 4: Add jupyter lab & nodefaults to conda env

---
 .binder/environment.yml | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/.binder/environment.yml b/.binder/environment.yml
index f91036f..7a01cf3 100644
--- a/.binder/environment.yml
+++ b/.binder/environment.yml
@@ -12,4 +12,7 @@ dependencies:
   - pip:
       - ecmwflibs
       - icenet @ git+https://github.com/icenet-ai/icenet@3654dc4954eca6d28e16b4876bd6538abd1f0c06
+      - ipykernel
+      - jupyterlab
+      - nbdime
       - notebook

From 546a39ba960eee854552f3094e3003589ae2eb5a Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Sun, 2 Jun 2024 18:22:15 +0100
Subject: [PATCH 030/141] Fixes #5: Add citation for data sources

---
 notebook.ipynb | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/notebook.ipynb b/notebook.ipynb
index f34a225..ee7e3bb 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -36,6 +36,16 @@
     "\n",
     "In terms of hardware, this notebook (and IceNet in general) does not require a GPU, however, when attempting a larger training run, the use of a GPU is highly recommended.\n",
     "\n",
+    "### Data Sources\n",
+    "\n",
+    "The data sources used in this notebook rely on the following:\n",
+    "* [ERA5](https://doi.org/10.24381/cds.adbb2d47):\n",
+    "    Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 hourly data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: [10.24381/cds.adbb2d47](https://doi.org/10.24381/cds.adbb2d47) (Accessed on 02-JUN-2024)\n",
+    "* [ORA5](https://doi.org/10.24381/cds.67e8eeb7):\n",
+    "    Copernicus Climate Change Service, Climate Data Store, (2021): ORAS5 global ocean reanalysis monthly data from 1958 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: [10.24381/cds.67e8eeb7](https://doi.org/10.24381/cds.67e8eeb7) (Accessed on 02-JUN-2024)\n",
+    "* [OSI-SAF](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013):\n",
+    "    OSI SAF Global sea ice concentration climate data record 1978-2020 (v3.0, 2022), OSI-450-a, doi:[10.15770/EUM_SAF_OSI_0013](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013). EUMETSAT Ocean and Sea Ice Satellite Application Facility. Data extracted from OSI SAF FTP server: (01-JAN-2020 to 30-APR-2020) accessed 02-Jun-2024.\n",
+    "\n",
     "### Contributions\n",
     "\n",
     "#### Notebook\n",

From b7d06bf9854fa3eea5d7514c320c76cada01377c Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Sun, 2 Jun 2024 18:56:42 +0100
Subject: [PATCH 031/141] Fixes #6: Adds citation for python modules

---
 notebook.ipynb | 42 ++++++++++++++++++++++++++++++++----------
 1 file changed, 32 insertions(+), 10 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index ee7e3bb..bba75fe 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -36,16 +36,6 @@
     "\n",
     "In terms of hardware, this notebook (and IceNet in general) does not require a GPU, however, when attempting a larger training run, the use of a GPU is highly recommended.\n",
     "\n",
-    "### Data Sources\n",
-    "\n",
-    "The data sources used in this notebook rely on the following:\n",
-    "* [ERA5](https://doi.org/10.24381/cds.adbb2d47):\n",
-    "    Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 hourly data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: [10.24381/cds.adbb2d47](https://doi.org/10.24381/cds.adbb2d47) (Accessed on 02-JUN-2024)\n",
-    "* [ORA5](https://doi.org/10.24381/cds.67e8eeb7):\n",
-    "    Copernicus Climate Change Service, Climate Data Store, (2021): ORAS5 global ocean reanalysis monthly data from 1958 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: [10.24381/cds.67e8eeb7](https://doi.org/10.24381/cds.67e8eeb7) (Accessed on 02-JUN-2024)\n",
-    "* [OSI-SAF](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013):\n",
-    "    OSI SAF Global sea ice concentration climate data record 1978-2020 (v3.0, 2022), OSI-450-a, doi:[10.15770/EUM_SAF_OSI_0013](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013). EUMETSAT Ocean and Sea Ice Satellite Application Facility. Data extracted from OSI SAF FTP server: (01-JAN-2020 to 30-APR-2020) accessed 02-Jun-2024.\n",
-    "\n",
     "### Contributions\n",
     "\n",
     "#### Notebook\n",
@@ -7873,6 +7863,38 @@
     "from datetime import date\n",
     "print(f'Last tested: {date.today()}')"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### References\n",
+    "\n",
+    "#### Software\n",
+    "\n",
+    "| Package     |      Citation      |\n",
+    "|-------------|:--------------|\n",
+    "| Cartopy | Met Office. (2010 - 2015). Cartopy: A cartographic python library with a Matplotlib interface. Exeter, Devon. Available from https://scitools.org.uk/cartopy. |\n",
+    "| Dask | Dask Development Team (2016). Dask: Library for dynamic task scheduling. Available from http://dask.pydata.org |\n",
+    "| Matplotlib  | J. D. Hunter, \"Matplotlib: A 2D Graphics Environment\", Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95, 2007. [https://doi.org/10.1109/MCSE.2007.55](https://doi.org/10.1109/MCSE.2007.55) |\n",
+    "| netCDF4-python | Jeff Whitaker, Constantine Khrulev, Filipe, David Huard, Stephan Hoyer, Mike Taves, Lars Pastewka, Alexander Mohr, Christian Marquardt, Bas Couwenberg, Christoph Paulik, Matthias Cuntz, Sander Roet, Jeffrey Whitaker, Matthew Brett, Max Bohnet, Miloššš Korenčiak, Rob Hetland, Andrew Barna, … bluppfisk. (2023). Unidata/netcdf4-python: version 1.6.0 release (Version v1.6.0rel) [Computer software]. Zenodo. [https://zenodo.org/doi/10.5281/zenodo.2592290](https://zenodo.org/doi/10.5281/zenodo.2592290) |\n",
+    "| NumPy       | Harris, C.R., Millman, K.J., van der Walt, S.J. et al. Array programming with NumPy. Nature 585, 357–362 (2020). DOI: [10.1038/s41586-020-2649-2](https://doi.org/10.1038/s41586-020-2649-2). (Publisher link).      |\n",
+    "| Pandas      | pandas development team, T. (2020). pandas-dev/pandas: Pandas (latest) [Computer software]. Zenodo. [https://doi.org/10.5281/zenodo.3509134](https://doi.org/10.5281/zenodo.3509134) |\n",
+    "| seaborn     | Waskom, M. L., (2021). seaborn: statistical data visualization. Journal of Open Source Software, 6(60), 3021, [https://doi.org/10.21105/joss.03021](https://doi.org/10.21105/joss.03021). |\n",
+    "| TensorFlow  | Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Rafal Jozefowicz, Yangqing Jia, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Mike Schuster, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. TensorFlow: Large-scale machine learning on heterogeneous systems, 2015. Software available from tensorflow.org. |\n",
+    "| xarray      | Hoyer, S. & Hamman, J., (2017). xarray: N-D labeled Arrays and Datasets in Python. Journal of Open Research Software. 5(1), p.10. DOI: [https://doi.org/10.5334/jors.148](https://doi.org/10.5334/jors.148) |\n",
+    "\n",
+    "\n",
+    "#### Data Sources\n",
+    "\n",
+    "The data sources used in this notebook rely on the following:\n",
+    "* [ERA5](https://doi.org/10.24381/cds.adbb2d47):\n",
+    "    Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 hourly data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: [10.24381/cds.adbb2d47](https://doi.org/10.24381/cds.adbb2d47) (Accessed on 02-JUN-2024)\n",
+    "* [ORA5](https://doi.org/10.24381/cds.67e8eeb7):\n",
+    "    Copernicus Climate Change Service, Climate Data Store, (2021): ORAS5 global ocean reanalysis monthly data from 1958 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: [10.24381/cds.67e8eeb7](https://doi.org/10.24381/cds.67e8eeb7) (Accessed on 02-JUN-2024)\n",
+    "* [OSI-SAF](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013):\n",
+    "    OSI SAF Global sea ice concentration climate data record 1978-2020 (v3.0, 2022), OSI-450-a, doi:[10.15770/EUM_SAF_OSI_0013](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013). EUMETSAT Ocean and Sea Ice Satellite Application Facility. Data extracted from OSI SAF FTP server: (01-JAN-2020 to 30-APR-2020) accessed 02-Jun-2024."
+   ]
   }
  ],
  "metadata": {

From 148f10456dc81e48f1fc3eb33af1154015d73368 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Sun, 2 Jun 2024 19:17:01 +0100
Subject: [PATCH 032/141] Dev #6: Move references from footer to header

---
 notebook.ipynb | 61 ++++++++++++++++++++++++--------------------------
 1 file changed, 29 insertions(+), 32 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index bba75fe..62718ee 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -36,6 +36,35 @@
     "\n",
     "In terms of hardware, this notebook (and IceNet in general) does not require a GPU, however, when attempting a larger training run, the use of a GPU is highly recommended.\n",
     "\n",
+    "\n",
+    "### References\n",
+    "\n",
+    "#### Software\n",
+    "\n",
+    "| Package     |      Citation      |\n",
+    "|-------------|:--------------|\n",
+    "| Cartopy | Met Office. (2010 - 2015). Cartopy: A cartographic python library with a Matplotlib interface. Exeter, Devon. Available from https://scitools.org.uk/cartopy. |\n",
+    "| Dask | Dask Development Team (2016). Dask: Library for dynamic task scheduling. Available from http://dask.pydata.org |\n",
+    "| Matplotlib  | J. D. Hunter, \"Matplotlib: A 2D Graphics Environment\", Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95, 2007. [https://doi.org/10.1109/MCSE.2007.55](https://doi.org/10.1109/MCSE.2007.55) |\n",
+    "| netCDF4-python | Jeff Whitaker, Constantine Khrulev, Filipe, David Huard, Stephan Hoyer, Mike Taves, Lars Pastewka, Alexander Mohr, Christian Marquardt, Bas Couwenberg, Christoph Paulik, Matthias Cuntz, Sander Roet, Jeffrey Whitaker, Matthew Brett, Max Bohnet, Miloššš Korenčiak, Rob Hetland, Andrew Barna, … bluppfisk. (2023). Unidata/netcdf4-python: version 1.6.0 release (Version v1.6.0rel) [Computer software]. Zenodo. [https://zenodo.org/doi/10.5281/zenodo.2592290](https://zenodo.org/doi/10.5281/zenodo.2592290) |\n",
+    "| NumPy       | Harris, C.R., Millman, K.J., van der Walt, S.J. et al. Array programming with NumPy. Nature 585, 357–362 (2020). DOI: [10.1038/s41586-020-2649-2](https://doi.org/10.1038/s41586-020-2649-2). (Publisher link).      |\n",
+    "| Pandas      | pandas development team, T. (2020). pandas-dev/pandas: Pandas (latest) [Computer software]. Zenodo. [https://doi.org/10.5281/zenodo.3509134](https://doi.org/10.5281/zenodo.3509134) |\n",
+    "| seaborn     | Waskom, M. L., (2021). seaborn: statistical data visualization. Journal of Open Source Software, 6(60), 3021, [https://doi.org/10.21105/joss.03021](https://doi.org/10.21105/joss.03021). |\n",
+    "| TensorFlow  | Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Rafal Jozefowicz, Yangqing Jia, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Mike Schuster, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. TensorFlow: Large-scale machine learning on heterogeneous systems, 2015. Software available from tensorflow.org. |\n",
+    "| xarray      | Hoyer, S. & Hamman, J., (2017). xarray: N-D labeled Arrays and Datasets in Python. Journal of Open Research Software. 5(1), p.10. DOI: [https://doi.org/10.5334/jors.148](https://doi.org/10.5334/jors.148) |\n",
+    "\n",
+    "\n",
+    "#### Data Sources\n",
+    "\n",
+    "The data sources used in this notebook rely on the following:\n",
+    "* [ERA5](https://doi.org/10.24381/cds.adbb2d47):\n",
+    "    Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 hourly data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: [10.24381/cds.adbb2d47](https://doi.org/10.24381/cds.adbb2d47) (Accessed on 02-JUN-2024)\n",
+    "* [ORA5](https://doi.org/10.24381/cds.67e8eeb7):\n",
+    "    Copernicus Climate Change Service, Climate Data Store, (2021): ORAS5 global ocean reanalysis monthly data from 1958 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: [10.24381/cds.67e8eeb7](https://doi.org/10.24381/cds.67e8eeb7) (Accessed on 02-JUN-2024)\n",
+    "* [OSI-SAF](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013):\n",
+    "    OSI SAF Global sea ice concentration climate data record 1978-2020 (v3.0, 2022), OSI-450-a, doi:[10.15770/EUM_SAF_OSI_0013](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013). EUMETSAT Ocean and Sea Ice Satellite Application Facility. Data extracted from OSI SAF FTP server: (01-JAN-2020 to 30-APR-2020) accessed 02-Jun-2024.\n",
+    "\n",
+    "\n",
     "### Contributions\n",
     "\n",
     "#### Notebook\n",
@@ -7863,38 +7892,6 @@
     "from datetime import date\n",
     "print(f'Last tested: {date.today()}')"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### References\n",
-    "\n",
-    "#### Software\n",
-    "\n",
-    "| Package     |      Citation      |\n",
-    "|-------------|:--------------|\n",
-    "| Cartopy | Met Office. (2010 - 2015). Cartopy: A cartographic python library with a Matplotlib interface. Exeter, Devon. Available from https://scitools.org.uk/cartopy. |\n",
-    "| Dask | Dask Development Team (2016). Dask: Library for dynamic task scheduling. Available from http://dask.pydata.org |\n",
-    "| Matplotlib  | J. D. Hunter, \"Matplotlib: A 2D Graphics Environment\", Computing in Science & Engineering, vol. 9, no. 3, pp. 90-95, 2007. [https://doi.org/10.1109/MCSE.2007.55](https://doi.org/10.1109/MCSE.2007.55) |\n",
-    "| netCDF4-python | Jeff Whitaker, Constantine Khrulev, Filipe, David Huard, Stephan Hoyer, Mike Taves, Lars Pastewka, Alexander Mohr, Christian Marquardt, Bas Couwenberg, Christoph Paulik, Matthias Cuntz, Sander Roet, Jeffrey Whitaker, Matthew Brett, Max Bohnet, Miloššš Korenčiak, Rob Hetland, Andrew Barna, … bluppfisk. (2023). Unidata/netcdf4-python: version 1.6.0 release (Version v1.6.0rel) [Computer software]. Zenodo. [https://zenodo.org/doi/10.5281/zenodo.2592290](https://zenodo.org/doi/10.5281/zenodo.2592290) |\n",
-    "| NumPy       | Harris, C.R., Millman, K.J., van der Walt, S.J. et al. Array programming with NumPy. Nature 585, 357–362 (2020). DOI: [10.1038/s41586-020-2649-2](https://doi.org/10.1038/s41586-020-2649-2). (Publisher link).      |\n",
-    "| Pandas      | pandas development team, T. (2020). pandas-dev/pandas: Pandas (latest) [Computer software]. Zenodo. [https://doi.org/10.5281/zenodo.3509134](https://doi.org/10.5281/zenodo.3509134) |\n",
-    "| seaborn     | Waskom, M. L., (2021). seaborn: statistical data visualization. Journal of Open Source Software, 6(60), 3021, [https://doi.org/10.21105/joss.03021](https://doi.org/10.21105/joss.03021). |\n",
-    "| TensorFlow  | Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Rafal Jozefowicz, Yangqing Jia, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Mike Schuster, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. TensorFlow: Large-scale machine learning on heterogeneous systems, 2015. Software available from tensorflow.org. |\n",
-    "| xarray      | Hoyer, S. & Hamman, J., (2017). xarray: N-D labeled Arrays and Datasets in Python. Journal of Open Research Software. 5(1), p.10. DOI: [https://doi.org/10.5334/jors.148](https://doi.org/10.5334/jors.148) |\n",
-    "\n",
-    "\n",
-    "#### Data Sources\n",
-    "\n",
-    "The data sources used in this notebook rely on the following:\n",
-    "* [ERA5](https://doi.org/10.24381/cds.adbb2d47):\n",
-    "    Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 hourly data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: [10.24381/cds.adbb2d47](https://doi.org/10.24381/cds.adbb2d47) (Accessed on 02-JUN-2024)\n",
-    "* [ORA5](https://doi.org/10.24381/cds.67e8eeb7):\n",
-    "    Copernicus Climate Change Service, Climate Data Store, (2021): ORAS5 global ocean reanalysis monthly data from 1958 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: [10.24381/cds.67e8eeb7](https://doi.org/10.24381/cds.67e8eeb7) (Accessed on 02-JUN-2024)\n",
-    "* [OSI-SAF](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013):\n",
-    "    OSI SAF Global sea ice concentration climate data record 1978-2020 (v3.0, 2022), OSI-450-a, doi:[10.15770/EUM_SAF_OSI_0013](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013). EUMETSAT Ocean and Sea Ice Satellite Application Facility. Data extracted from OSI SAF FTP server: (01-JAN-2020 to 30-APR-2020) accessed 02-Jun-2024."
-   ]
   }
  ],
  "metadata": {

From c7e6e2d01291e0cf680de4f37157c8ee338a78ba Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Mon, 3 Jun 2024 23:14:59 +0100
Subject: [PATCH 033/141] Fix acronym mistakes

---
 notebook.ipynb | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 62718ee..8633282 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -59,9 +59,9 @@
     "The data sources used in this notebook rely on the following:\n",
     "* [ERA5](https://doi.org/10.24381/cds.adbb2d47):\n",
     "    Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 hourly data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: [10.24381/cds.adbb2d47](https://doi.org/10.24381/cds.adbb2d47) (Accessed on 02-JUN-2024)\n",
-    "* [ORA5](https://doi.org/10.24381/cds.67e8eeb7):\n",
+    "* [ORAS5](https://doi.org/10.24381/cds.67e8eeb7):\n",
     "    Copernicus Climate Change Service, Climate Data Store, (2021): ORAS5 global ocean reanalysis monthly data from 1958 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: [10.24381/cds.67e8eeb7](https://doi.org/10.24381/cds.67e8eeb7) (Accessed on 02-JUN-2024)\n",
-    "* [OSI-SAF](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013):\n",
+    "* [OSI SAF](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013):\n",
     "    OSI SAF Global sea ice concentration climate data record 1978-2020 (v3.0, 2022), OSI-450-a, doi:[10.15770/EUM_SAF_OSI_0013](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013). EUMETSAT Ocean and Sea Ice Satellite Application Facility. Data extracted from OSI SAF FTP server: (01-JAN-2020 to 30-APR-2020) accessed 02-Jun-2024.\n",
     "\n",
     "\n",
@@ -200,7 +200,7 @@
     "We start here with generating the masks for training/prediction. This includes regions where sea ice does not form, land regions, and the [polar hole](https://blogs.egu.eu/divisions/cr/2016/10/14/image-of-the-week-the-polar-hole/).\n",
     "\n",
     ":::note\n",
-    "This data downloaded from OSI-SAF over an FTP server which is blocked and not accessible via Binder, hence, the final datafile that the next cell would output for these range of dates is included in the repository.\n",
+    "This data downloaded from OSI SAF over an FTP server which is blocked and not accessible via Binder, hence, the final datafile that the next cell would output for these range of dates is included in the repository.\n",
     "\n",
     "It does not change the workflow or the code, the class will simply skip over the date ranges that have already been downloaded.\n",
     ":::"
@@ -262,7 +262,7 @@
     "\n",
     "* The climate data used for training is from [ERA5](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview) reanalysis which covers the global climate since 1940 to the present time.\n",
     "\n",
-    "* The Ocean data used is from [ORA5](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-oras5?tab=overview) which also uses a reanalysis approach and contains global ocean and sea-ice reanalysis data.\n",
+    "* The Ocean data used is from [ORAS5](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-oras5?tab=overview) which also uses a reanalysis approach and contains global ocean and sea-ice reanalysis data.\n",
     "\n",
     "Since these are both obtained from reanalysis, they are a combination of physical models and observational data. Due to the reanalysis approach, there is no temporal or spatial gap in the downloaded data. Both of these sets of data are obtained from the ECMWF's (European Centre for Medium-Range Weather Forecast) reanalysis systems.\n",
     "\n",
@@ -276,7 +276,7 @@
     "The downloader implementation of this data in IceNet utilises the CDS API which requires registration and configuration of an API key before downloading. The registration is free, please see [the official CDS API how-to](https://cds.climate.copernicus.eu/api-how-to) for more instructions on how to set this up.\n",
     "\n",
     ":::{note}\n",
-    "Since the ERA5 and ORA5 data downloads require registration before download, this demonstrator will only download and use observed sea ice concentration data for training.\n",
+    "Since the ERA5 and ORAS5 data downloads require registration before download, this demonstrator will only download and use observed sea ice concentration data for training.\n",
     "\n",
     "Once the key is configured correctly, you can utilise the `ERA5Downloader` class, for example, to download climate variables and use it for training the model in addition to the sea ice concentration data that is downloaded further below.\n",
     ":::\n",
@@ -330,7 +330,7 @@
     "You will notice a familiar interface as with the `ERA5Downloader` class with the `SICDownloader` class, with similar input arguments.\n",
     "\n",
     ":::note\n",
-    "In a similar manner to the Masks data download above, the OSI-SAF data is downloaded over an FTP server which is blocked and not accessible via Binder, hence, the final datafile that the next cell would output for these range of dates is included in the repository.\n",
+    "In a similar manner to the Masks data download above, the OSI SAF data is downloaded over an FTP server which is blocked and not accessible via Binder, hence, the final datafile that the next cell would output for these range of dates is included in the repository.\n",
     "\n",
     "It does not change the workflow or the code, the class will simply skip over the date ranges that have already been downloaded.\n",
     ":::"
@@ -386,9 +386,9 @@
     "    from icenet.data.interfaces.esgf import CMIP6Downloader\n",
     "    ```\n",
     "\n",
-    "1. In addition to ERA5 for downloading climate reanalysis data (shown above), ocean reanalysis data ([ORA5](https://www.ecmwf.int/en/forecasts/dataset/ocean-reanalysis-system-5)) can be downloaded via:\n",
+    "1. In addition to ERA5 for downloading climate reanalysis data (shown above), ocean reanalysis data ([ORAS5](https://www.ecmwf.int/en/forecasts/dataset/ocean-reanalysis-system-5)) can be downloaded via:\n",
     "    ```python\n",
-    "    from icenet.data.interfaces.cmems import ORA5Downloader\n",
+    "    from icenet.data.interfaces.cmems import ORAS5Downloader\n",
     "    ```\n",
     "\n",
     "1. Data from ECMWF High Resolution Forecast ([HRES](https://www.ecmwf.int/en/forecasts/datasets/catalogue-ecmwf-real-time-products)) can be downloaded using:\n",
@@ -7817,7 +7817,7 @@
     "\n",
     "This notebook has demonstrated the use of the IceNet library to programmatically generate sea-ice forecasts via the `IceNet` python interface, across all stages of a machine learning workflow, from source data download to forecast visualisation. It demonstrated this by:\n",
     "\n",
-    "* Showing usage of the IceNet library to download different climate data variables ([ERA5](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview)) and sea ice concentration maps ([OSI-SAF](https://osi-saf.eumetsat.int/)) from different data sources via a similar api interface. (The ERA5 code was shown, but not run due to need for a free personal API key having been setup by the user)\n",
+    "* Showing usage of the IceNet library to download different climate data variables ([ERA5](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview)) and sea ice concentration maps ([OSI SAF](https://osi-saf.eumetsat.int/)) from different data sources via a similar api interface. (The ERA5 code was shown, but not run due to need for a free personal API key having been setup by the user)\n",
     "* Processing of downloaded data to include normalisation and data caching to speed up the training.\n",
     "* Showing the use of a high-level interface to the IceNet UNet model to train on different data sources and generate predictions of binary sea ice concentration.\n",
     "* Visualising the predictions using the plotting tools within the IceNet library.\n",

From 0ec9ce2bc64a87095382f52bc1c5c5c60b8b4018 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Mon, 3 Jun 2024 23:27:20 +0100
Subject: [PATCH 034/141] Fixes #7: Add acronym section to nb

---
 notebook.ipynb | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/notebook.ipynb b/notebook.ipynb
index 8633282..cbb5368 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -36,6 +36,17 @@
     "\n",
     "In terms of hardware, this notebook (and IceNet in general) does not require a GPU, however, when attempting a larger training run, the use of a GPU is highly recommended.\n",
     "\n",
+    "### Acronyms\n",
+    "\n",
+    "| Abbreviation | Definition    |\n",
+    "|--------------|:--------------|\n",
+    "| API     | Application Programming Interface |\n",
+    "| CLI     | Command Line Interface |\n",
+    "| ECMWF   | European Centre for Medium-Range Weather Forecasts |\n",
+    "| [ERA5](https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5)    | ECMWF Reanalysis v5 |\n",
+    "| [ORAS5](https://www.ecmwf.int/en/forecasts/dataset/ocean-reanalysis-system-5)    | Ocean Reanalysis System 5 |\n",
+    "| [OSI SAF](https://osi-saf.eumetsat.int/) | Ocean and Sea Ice Satellite Application Facility |\n",
+    "\n",
     "\n",
     "### References\n",
     "\n",

From 34656b599cb12b46c37c4c78d4b884a779114793 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Mon, 3 Jun 2024 23:33:15 +0100
Subject: [PATCH 035/141] Update introduction

---
 notebook.ipynb | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index cbb5368..e3b8ad8 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -16,7 +16,9 @@
     "This notebook demonstrates the use of the python library api for forecasting sea ice for a reduced dataset to demonstrate its capabilities. The final output of interest are maps of sea ice concentration.\n",
     "\n",
     "### Modelling approach\n",
-    "IceNet is a probabilistic, deep learning sea ice forecasting system. It utilises ensemble modelling of U-Net networks to generate daily forecasts of sea ice condition, trained on climate reanalysis and sea ice observational data (the built-in downloaders within IceNet are extensible). The original IceNet research model, published in Nature Communications ([Seasonal Arctic sea ice forecasting with probabilistic deep learning](https://www.nature.com/articles/s41467-021-25257-4)) was trained on climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration maps, while the updated library utilises daily inputs and is able to generate daily forecast outputs for a variable forecast time period. The python library showcased here is a heavily refactored version of the original research code from the original publication that has been developed for operational forecasting. The core UNet architecture is implemented using Tensorflow, however, the library architecture allows other backend libraries to be utilised and wrapped around the IceNet library ecosystem.\n",
+    "IceNet is a probabilistic, deep learning sea ice forecasting system. It utilises ensemble modelling of U-Net networks to generate daily forecasts of sea ice condition, trained on climate reanalysis and sea ice observational data (the built-in downloaders within IceNet are extensible). The original IceNet research model, published in Nature Communications ([Seasonal Arctic sea ice forecasting with probabilistic deep learning](https://www.nature.com/articles/s41467-021-25257-4)) was trained on climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration maps.\n",
+    "\n",
+    "The python library ([IceNet](https://github.com/icenet-ai/icenet/)) showcased in this notebook is a heavily refactored version of the original research code from the original publication that has been developed for operational forecasting that utilises daily inputs and is able to generate daily forecast outputs for a variable forecast time period. The core UNet architecture is implemented using Tensorflow, however, the library architecture allows other backend libraries to be utilised and wrapped around the IceNet library ecosystem.\n",
     "\n",
     "### Highlights\n",
     " * [1. Setup](#Setup) the environment and project structure.\n",

From 00ded93a90445f6fefff0e4f95f0201c1c962984 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Tue, 4 Jun 2024 00:02:40 +0100
Subject: [PATCH 036/141] Fixes #7: Add SIC to acronym section

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index e3b8ad8..af67ad6 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -48,7 +48,7 @@
     "| [ERA5](https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5)    | ECMWF Reanalysis v5 |\n",
     "| [ORAS5](https://www.ecmwf.int/en/forecasts/dataset/ocean-reanalysis-system-5)    | Ocean Reanalysis System 5 |\n",
     "| [OSI SAF](https://osi-saf.eumetsat.int/) | Ocean and Sea Ice Satellite Application Facility |\n",
-    "\n",
+    "| SIC | Sea Ice Concentration |\n",
     "\n",
     "### References\n",
     "\n",

From fe71f286aff0aa7720ef21b0a8240a5c538f290b Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Tue, 4 Jun 2024 00:03:29 +0100
Subject: [PATCH 037/141] Add a limitations section - refer to original paper

---
 notebook.ipynb | 10 +++++++++-
 1 file changed, 9 insertions(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index af67ad6..7968d88 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -7835,7 +7835,15 @@
     "* Showing the use of a high-level interface to the IceNet UNet model to train on different data sources and generate predictions of binary sea ice concentration.\n",
     "* Visualising the predictions using the plotting tools within the IceNet library.\n",
     "* Visualising good results with increased network size and runtime.\n",
-    "* If researching, consider [extending the functionality of the API to include revised or completely new implementations, such as additional data sources](https://github.com/icenet-ai/icenet-notebooks/blob/main/05.library_extension.ipynb)"
+    "* If researching, consider [extending the functionality of the API to include revised or completely new implementations, such as additional data sources](https://github.com/icenet-ai/icenet-notebooks/blob/main/05.library_extension.ipynb)\n",
+    "\n",
+    "## Limitations\n",
+    "\n",
+    "For the training model generated, the accuracy of the results depends on the data used as training inputs (in this demonstrator notebook, only a limited subset of the OSI SAF SIC data is used due to resource limitations on Binder).\n",
+    "\n",
+    "On less resource constricted systems, as elucidated above, it is possible to use other data downloaders that include variables which relate to sea ice formation to improve prediction results while including a larger date range as available from the different data sources. For day to day forecast generation, a subset of the OSI SAF (1940-present) and ERA5 datasets (1979-present) are utilised for training.\n",
+    "\n",
+    "For more details, the [original paper](https://www.nature.com/articles/s41467-021-25257-4) is a recommended read. A more up-to-date paper considering the latest IceNet implementation changes since the publication of the original paper is currently in progress."
    ]
   },
   {

From e682b7aa09ece91ed626168ea922212efbec9d8c Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Tue, 4 Jun 2024 00:31:07 +0100
Subject: [PATCH 038/141] Dev #8: Add U-Net paper link, update 'UNet'
 inconsistency

---
 notebook.ipynb | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 7968d88..d39817a 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -16,9 +16,9 @@
     "This notebook demonstrates the use of the python library api for forecasting sea ice for a reduced dataset to demonstrate its capabilities. The final output of interest are maps of sea ice concentration.\n",
     "\n",
     "### Modelling approach\n",
-    "IceNet is a probabilistic, deep learning sea ice forecasting system. It utilises ensemble modelling of U-Net networks to generate daily forecasts of sea ice condition, trained on climate reanalysis and sea ice observational data (the built-in downloaders within IceNet are extensible). The original IceNet research model, published in Nature Communications ([Seasonal Arctic sea ice forecasting with probabilistic deep learning](https://www.nature.com/articles/s41467-021-25257-4)) was trained on climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration maps.\n",
+    "IceNet is a probabilistic, deep learning sea ice forecasting system. It utilises ensemble modelling of [U-Net](https://link.springer.com/chapter/10.1007/978-3-319-24574-4_28) networks to generate daily forecasts of sea ice condition, trained on climate reanalysis and sea ice observational data (the built-in downloaders within IceNet are extensible). The original IceNet research model, published in Nature Communications ([Seasonal Arctic sea ice forecasting with probabilistic deep learning](https://www.nature.com/articles/s41467-021-25257-4)) was trained on climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration maps.\n",
     "\n",
-    "The python library ([IceNet](https://github.com/icenet-ai/icenet/)) showcased in this notebook is a heavily refactored version of the original research code from the original publication that has been developed for operational forecasting that utilises daily inputs and is able to generate daily forecast outputs for a variable forecast time period. The core UNet architecture is implemented using Tensorflow, however, the library architecture allows other backend libraries to be utilised and wrapped around the IceNet library ecosystem.\n",
+    "The python library ([IceNet](https://github.com/icenet-ai/icenet/)) showcased in this notebook is a heavily refactored version of the original research code from the original publication that has been developed for operational forecasting that utilises daily inputs and is able to generate daily forecast outputs for a variable forecast time period. The core U-Net architecture is implemented using Tensorflow, however, the library architecture allows other backend libraries to be utilised and wrapped around the IceNet library ecosystem.\n",
     "\n",
     "### Highlights\n",
     " * [1. Setup](#Setup) the environment and project structure.\n",
@@ -31,7 +31,7 @@
     "### Compatible platforms\n",
     "\n",
     "The `IceNet` library is designed to be run within a Unix environment, and, as such, this notebook has been tested on the following OS platforms:\n",
-    "* Linux x64\n",
+    "* Linux\n",
     "* macOS (Intel and Apple Silicon)\n",
     "\n",
     "Windows is not supported, however, [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) should work, but is untested.\n",
@@ -880,7 +880,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "We can now use `train_model` function to train the UNet model based on the above downloaded and processed data."
+    "We can now use `train_model` function to train the U-Net model based on the above downloaded and processed data."
    ]
   },
   {
@@ -7832,7 +7832,7 @@
     "\n",
     "* Showing usage of the IceNet library to download different climate data variables ([ERA5](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview)) and sea ice concentration maps ([OSI SAF](https://osi-saf.eumetsat.int/)) from different data sources via a similar api interface. (The ERA5 code was shown, but not run due to need for a free personal API key having been setup by the user)\n",
     "* Processing of downloaded data to include normalisation and data caching to speed up the training.\n",
-    "* Showing the use of a high-level interface to the IceNet UNet model to train on different data sources and generate predictions of binary sea ice concentration.\n",
+    "* Showing the use of a high-level interface to the IceNet U-Net model to train on different data sources and generate predictions of binary sea ice concentration.\n",
     "* Visualising the predictions using the plotting tools within the IceNet library.\n",
     "* Visualising good results with increased network size and runtime.\n",
     "* If researching, consider [extending the functionality of the API to include revised or completely new implementations, such as additional data sources](https://github.com/icenet-ai/icenet-notebooks/blob/main/05.library_extension.ipynb)\n",

From 7a9f50d04f42c51d85c98af507c47e6f173c54a5 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Tue, 4 Jun 2024 00:37:55 +0100
Subject: [PATCH 039/141] Dev #8: Add link to Apache Airflow

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index d39817a..6034d9b 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -763,7 +763,7 @@
     "___\n",
     "# 4. Train\n",
     "\n",
-    "For single runs we can programmatically call `train_model` which defines the training process from start to finish. If we wanted to run mutliple models with different initialisation states (called ensemble modelling) to obtain some level of model uncertainty, it is recommended to use the [`model-ensembler`](https://github.com/JimCircadian/model-ensembler) tool which works outside of the API and is capable of controlling multiple CLI submissions. Customising an ensemble can be achieved through looking at the configuration in [the pipeline repository](https://github.com/antarctica/IceNet-Pipeline). That said, if workflow system integration (e.g. Airflow) is desired, integrating via this method is the way to go."
+    "For single runs we can programmatically call `train_model` which defines the training process from start to finish. If we wanted to run mutliple models with different initialisation states (called ensemble modelling) to obtain some level of model uncertainty, it is recommended to use the [`model-ensembler`](https://github.com/JimCircadian/model-ensembler) tool which works outside of the API and is capable of controlling multiple CLI submissions. Customising an ensemble can be achieved through looking at the configuration in [the pipeline repository](https://github.com/antarctica/IceNet-Pipeline). That said, if workflow system integration (e.g. [Airflow](https://airflow.apache.org/)) is desired, integrating via this method is the way to go."
    ]
   },
   {

From 40b358c76a0a33b95c2917fcb7e72fc533429770 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Tue, 4 Jun 2024 00:46:34 +0100
Subject: [PATCH 040/141] Dev #8: Describe n_filters_factor on first mention

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 6034d9b..5054015 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -1146,7 +1146,7 @@
     "\n",
     "In much the same manner as with `train_model`, the `predict_forecast` method acts as a convenient entry point workflow system integration, CLI entry as well as an overridable method upon which to base custom implementations. Using the method directly relies on loading from a prepared (but perhaps not cached) dataset.\n",
     "\n",
-    "Some parameters are fed to `predict_forecast` that ideally shouldn't need to be specified (like `seed` and `n_filters_factor`) and might seem contextually odd. They're used to locate the appropriate saved network. *This will be cleaned up in a future version*."
+    "Some parameters are fed to `predict_forecast` that ideally shouldn't need to be specified (like `seed` and `n_filters_factor` (which can be used to scale the size of the neural network)) and might seem contextually odd. They're used to locate the appropriate saved network. *This will be cleaned up in a future version*."
    ]
   },
   {

From cef4bb59310ebb3141aa202d7a94caf0f7857903 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Tue, 4 Jun 2024 00:47:36 +0100
Subject: [PATCH 041/141] Dev #8: Explicitly state extension for numpy files

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 5054015..e3a84e2 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -1216,7 +1216,7 @@
     "└── 2020_04_02.npy\n",
     "```\n",
     "\n",
-    "The persistence and respective use of these results is then up to the user. They consist of numpy files for each test date that contain the following:\n",
+    "The persistence and respective use of these results is then up to the user. They consist of NumPy (*.npy) files for each test date that contain the following:\n",
     "1. *forecast*: The neural network predicted forecast sea ice concentration data.\n",
     "1. *outputs*: Outputs from the data loader used for training.\n",
     "1. *sample_weights*: The sample weights used to weight training samples.\n",

From 17091c18c9d52b0ca83a54b93587e46bcb822ba7 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Tue, 4 Jun 2024 00:54:16 +0100
Subject: [PATCH 042/141] Dev #8: Update link to point to config section in
 pipeline repo

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index e3a84e2..e3560d6 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -763,7 +763,7 @@
     "___\n",
     "# 4. Train\n",
     "\n",
-    "For single runs we can programmatically call `train_model` which defines the training process from start to finish. If we wanted to run mutliple models with different initialisation states (called ensemble modelling) to obtain some level of model uncertainty, it is recommended to use the [`model-ensembler`](https://github.com/JimCircadian/model-ensembler) tool which works outside of the API and is capable of controlling multiple CLI submissions. Customising an ensemble can be achieved through looking at the configuration in [the pipeline repository](https://github.com/antarctica/IceNet-Pipeline). That said, if workflow system integration (e.g. [Airflow](https://airflow.apache.org/)) is desired, integrating via this method is the way to go."
+    "For single runs we can programmatically call `train_model` which defines the training process from start to finish. If we wanted to run mutliple models with different initialisation states (called ensemble modelling) to obtain some level of model uncertainty, it is recommended to use the [`model-ensembler`](https://github.com/JimCircadian/model-ensembler) tool which works outside of the API and is capable of controlling multiple CLI submissions. Customising an ensemble can be achieved through looking at the configuration in [the pipeline repository](https://github.com/icenet-ai/icenet-pipeline?tab=readme-ov-file#configuration). That said, if workflow system integration (e.g. [Airflow](https://airflow.apache.org/)) is desired, integrating via this method is the way to go."
    ]
   },
   {

From 82e35c3dfa0ab86aa53beebe8b0377b3f3848c1d Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Tue, 4 Jun 2024 01:16:02 +0100
Subject: [PATCH 043/141] Dev #8: Refer and expandd on ERA5 variable names

---
 notebook.ipynb | 15 ++++++++++++++-
 1 file changed, 14 insertions(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index e3560d6..57a672c 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -310,7 +310,20 @@
     "    south=True,                                 # Boolean: Whether require data across southern hemisphere\n",
     "    use_toolbox=False)                          # Experimental, alternative download method\n",
     "era5.download()                                 # Start downloading\n",
-    "```"
+    "```\n",
+    "\n",
+    "A reference for understanding the variable names used above can be found [here](https://clipc-services.ceda.ac.uk/dreq/mipVars.html). These variable names are mapped to their equivalent ERA5 names within IceNet. For example, `uas` and `vas` are near-surface eastward and northward wind speed components in `m/s`. The variable mapping within Icenet for ERA5Downloader are:\n",
+    "\n",
+    "    tas: 2m_temperature\n",
+    "    ta: temperature  # 500\n",
+    "    tos: sea_surface_temperature\n",
+    "    psl: surface_pressure\n",
+    "    zg: geopotential  # 250 and 500 (this is converted internally to geopotential height)\n",
+    "    hus: specific_humidity  # 1000\n",
+    "    rlds: surface_thermal_radiation_downwards\n",
+    "    rsds: surface_solar_radiation_downwards\n",
+    "    uas: 10m_u_component_of_wind\n",
+    "    vas: 10m_v_component_of_wind"
    ]
   },
   {

From 15b63706509331903bdb1477fe30c5d986bc238b Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Tue, 4 Jun 2024 01:34:18 +0100
Subject: [PATCH 044/141] Dev #8: Explain some xarray + pandas code for
 animation

---
 notebook.ipynb | 11 ++++++++++-
 1 file changed, 10 insertions(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 57a672c..b9733e4 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -1320,7 +1320,16 @@
     "    forecast_date = ds.time.values[0]\n",
     "    print(forecast_date)\n",
     "\n",
+    "    # The next line conducts the following operations:\n",
+    "    # 1. Select the first time slice of the `sic_mean` variable\n",
+    "    # 2. Drops the `time` variable from the dataset\n",
+    "    # 3. Renames the variable `leadtime` to `time`\n",
+    "    # The `leadtime` column contains forecast day as an integer, i.e. [1, 2, 3].\n",
     "    fc = ds.sic_mean.isel(time=0).drop_vars(\"time\").rename(dict(leadtime=\"time\"))\n",
+    "\n",
+    "    # We update the `time` column with the actual dates,\n",
+    "    # starting from the forecast date to the forecast end date.\n",
+    "    # E.g. [2020-04-02..., ..., ...]\n",
     "    fc['time'] = [pd.to_datetime(forecast_date) \\\n",
     "                + dt.timedelta(days=int(e)) for e in fc.time.values]\n",
     "\n",
@@ -7944,7 +7953,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.7"
+   "version": "3.11.0"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {

From de7990a1eba880f0c8a77d9a543eb89d5fbf1559 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Tue, 4 Jun 2024 02:09:17 +0100
Subject: [PATCH 045/141] Prevent conda channel mixing, update env file

---
 .binder/environment.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.binder/environment.yml b/.binder/environment.yml
index 7a01cf3..0fae774 100644
--- a/.binder/environment.yml
+++ b/.binder/environment.yml
@@ -1,7 +1,7 @@
 name: 67a1e320-7c47-4ea9-8df8-e868326bc90b
 channels:
   - conda-forge
-  - defaults
+  - nodefaults
 dependencies:
   - cf-units
   - libnetcdf

From d50a1662a3b4c7e8277b5403ec9c9dbf1cd31102 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Tue, 4 Jun 2024 02:15:10 +0100
Subject: [PATCH 046/141] Dev #8: Update ERA5 markdown download end date

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index b9733e4..75d97c9 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -4890,7 +4890,7 @@
     "\n",
     "    ```python\n",
     "    processing_dates = dict(\n",
-    "        train=[pd.to_datetime(el) for el in pd.date_range(\"2020-01-01\", \"2020-03-31\")], # <-- Increase to 91 days for training\n",
+    "        train=[pd.to_datetime(el) for el in pd.date_range(\"2020-01-01\", \"2020-03-30\")], # <-- Increase to 90 days for training\n",
     "        val=[pd.to_datetime(el) for el in pd.date_range(\"2020-04-03\", \"2020-04-20\")],   # <-- Increase to 17 days for validation\n",
     "        test=[pd.to_datetime(el) for el in pd.date_range(\"2020-04-01\", \"2020-04-02\")],\n",
     "    )\n",

From 416cfd91dd3cb9b304300bfec2b41b402645d6f6 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Tue, 4 Jun 2024 02:35:31 +0100
Subject: [PATCH 047/141] Dev #8: Fix anchor links in Highlights section

---
 notebook.ipynb | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 75d97c9..b6db17b 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -21,12 +21,12 @@
     "The python library ([IceNet](https://github.com/icenet-ai/icenet/)) showcased in this notebook is a heavily refactored version of the original research code from the original publication that has been developed for operational forecasting that utilises daily inputs and is able to generate daily forecast outputs for a variable forecast time period. The core U-Net architecture is implemented using Tensorflow, however, the library architecture allows other backend libraries to be utilised and wrapped around the IceNet library ecosystem.\n",
     "\n",
     "### Highlights\n",
-    " * [1. Setup](#Setup) the environment and project structure.\n",
-    " * [2. Download](#Download) sea ice concentration data as training data.\n",
-    " * [3. Process](#Process) downloaded data, and generate cached datasets to speed up training.\n",
-    " * [4. Train](#Train) the neural network and generate checkpoint and model output.\n",
-    " * [5. Predict](#Predict) for defined dates.\n",
-    " * [6. Visualisation](#Visualisation) of the prediction output.\n",
+    " * [1. Setup](#-1.-Setup) the environment and project structure.\n",
+    " * [2. Download](#-2.-Download) sea ice concentration data as training data.\n",
+    " * [3. Process](#-3.-Process) downloaded data, and generate cached datasets to speed up training.\n",
+    " * [4. Train](#-4.-Train) the neural network and generate checkpoint and model output.\n",
+    " * [5. Predict](#-5.-Predict) for defined dates.\n",
+    " * [6. Visualisation](#-6.-Visualisation) of the prediction output.\n",
     "\n",
     "### Compatible platforms\n",
     "\n",

From a9ca2f4b12209cb3806de23e7683e34ca58b58b6 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Tue, 4 Jun 2024 10:46:51 +0100
Subject: [PATCH 048/141] Dev #8: Update on ORAS5 section

---
 notebook.ipynb | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index b6db17b..15350fa 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -271,11 +271,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Climate and ocean data are obtained from the [Climate Data Store (CDS)](https://cds.climate.copernicus.eu/).\n",
+    "Climate and ocean data can be obtained from the [Climate Data Store (CDS)](https://cds.climate.copernicus.eu/). Due to resource limitations, we omit their use in this notebook. However, this section gives an example of they could be downloaded.\n",
     "\n",
     "* The climate data used for training is from [ERA5](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview) reanalysis which covers the global climate since 1940 to the present time.\n",
     "\n",
-    "* The Ocean data used is from [ORAS5](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-oras5?tab=overview) which also uses a reanalysis approach and contains global ocean and sea-ice reanalysis data.\n",
+    "* Ocean data can be downloaded from [ORAS5](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-oras5?tab=overview) which also uses a reanalysis approach and contains global ocean and sea-ice reanalysis data. However, this is not utilised in this case since only monthly data is available.\n",
     "\n",
     "Since these are both obtained from reanalysis, they are a combination of physical models and observational data. Due to the reanalysis approach, there is no temporal or spatial gap in the downloaded data. Both of these sets of data are obtained from the ECMWF's (European Centre for Medium-Range Weather Forecast) reanalysis systems.\n",
     "\n",

From 15940f266672352d19555d942e47727265b2f490 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Tue, 4 Jun 2024 10:48:26 +0100
Subject: [PATCH 049/141] Revert "Dev #8: Update ERA5 markdown download end
 date"

This reverts commit d50a1662a3b4c7e8277b5403ec9c9dbf1cd31102. Change of incorrect date.
---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 15350fa..97c1e5f 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -4890,7 +4890,7 @@
     "\n",
     "    ```python\n",
     "    processing_dates = dict(\n",
-    "        train=[pd.to_datetime(el) for el in pd.date_range(\"2020-01-01\", \"2020-03-30\")], # <-- Increase to 90 days for training\n",
+    "        train=[pd.to_datetime(el) for el in pd.date_range(\"2020-01-01\", \"2020-03-31\")], # <-- Increase to 91 days for training\n",
     "        val=[pd.to_datetime(el) for el in pd.date_range(\"2020-04-03\", \"2020-04-20\")],   # <-- Increase to 17 days for validation\n",
     "        test=[pd.to_datetime(el) for el in pd.date_range(\"2020-04-01\", \"2020-04-02\")],\n",
     "    )\n",

From cd3818da3609cca81eb250000a0e14274904ea04 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Tue, 4 Jun 2024 10:50:43 +0100
Subject: [PATCH 050/141] Dev #8: Fix ERA5 example markdown download end date

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 97c1e5f..793ad21 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -300,7 +300,7 @@
     "    var_names=[\"tas\", \"zg\", \"uas\", \"vas\"],      # Name of variables to download\n",
     "    dates=[                                     # Dates to download the variable data for\n",
     "        pd.to_datetime(date).date()\n",
-    "        for date in pd.date_range(\"2020-01-01\", \"2020-04-31\", freq=\"D\")\n",
+    "        for date in pd.date_range(\"2020-01-01\", \"2020-04-30\", freq=\"D\")\n",
     "    ],\n",
     "    path=\"./data\",                              # Location to download data to (default is `./data`)\n",
     "    delete_tempfiles=True,                      # Whether to delete temporary downloaded files\n",

From 8e2a330c31b60a1b64fe7d2e97a7732aed281df2 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Fri, 7 Jun 2024 14:48:43 +0100
Subject: [PATCH 051/141] Dev #8: Add ORAS5Downloader example + updates

---
 notebook.ipynb | 69 +++++++++++++++++++++++++++++++++++++++++++++++---
 1 file changed, 66 insertions(+), 3 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 793ad21..4979baa 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -286,16 +286,21 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The downloader implementation of this data in IceNet utilises the CDS API which requires registration and configuration of an API key before downloading. The registration is free, please see [the official CDS API how-to](https://cds.climate.copernicus.eu/api-how-to) for more instructions on how to set this up.\n",
-    "\n",
     ":::{note}\n",
     "Since the ERA5 and ORAS5 data downloads require registration before download, this demonstrator will only download and use observed sea ice concentration data for training.\n",
+    ":::\n",
+    "\n",
+    "### ERA5 Downloader\n",
+    "\n",
+    "The downloader implementation of this data in IceNet utilises the CDS API which requires registration and configuration of an API key before downloading. The registration is free, please see [the official CDS API how-to](https://cds.climate.copernicus.eu/api-how-to) for more instructions on how to set this up.\n",
     "\n",
     "Once the key is configured correctly, you can utilise the `ERA5Downloader` class, for example, to download climate variables and use it for training the model in addition to the sea ice concentration data that is downloaded further below.\n",
-    ":::\n",
     "\n",
     "\n",
     "```python\n",
+    "import pandas as pd\n",
+    "from icenet.data.interfaces.cds import ERA5Downloader\n",
+    "\n",
     "era5 = ERA5Downloader(\n",
     "    var_names=[\"tas\", \"zg\", \"uas\", \"vas\"],      # Name of variables to download\n",
     "    dates=[                                     # Dates to download the variable data for\n",
@@ -338,6 +343,64 @@
     "```"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### ORAS5 Downloader\n",
+    "\n",
+    "The ORAS5 Downloader uses the Copernicus Marine toolbox which requires [registration](https://data.marine.copernicus.eu/register).\n",
+    "\n",
+    "<details close>\n",
+    "<summary>Once registered, please follow these steps to set up credentials</summary>\n",
+    "<br>\n",
+    "\n",
+    "**Option 1:**\n",
+    "\n",
+    "By defining a `~/.cmems.creds` file (i.e. in your home directory) as follows:\n",
+    "\n",
+    "```\n",
+    "[auth]\n",
+    "username = my_copernicus_marine_username\n",
+    "password = my_copernicus_marine_password\n",
+    "```\n",
+    "\n",
+    "**Option 2:**\n",
+    "\n",
+    "By setting the following environment variables:\n",
+    "\n",
+    "```bash\n",
+    "export COPERNICUSMARINE_SERVICE_USERNAME=my_copernicus_marine_username\n",
+    "export COPERNICUSMARINE_SERVICE_PASSWORD=my_copernicus_marine_password\n",
+    "```\n",
+    "\n",
+    "</details>\n",
+    "\n",
+    "Once configured, the ORAS5Downloader can used as follows:\n",
+    "\n",
+    "```python\n",
+    "import pandas as pd\n",
+    "from icenet.data.interfaces.cmems import ORAS5Downloader\n",
+    "\n",
+    "vars = [\"thetao\"]\n",
+    "\n",
+    "oras5 = ORAS5Downloader(\n",
+    "    var_names=vars,                             # Name of variables to download\n",
+    "    dates=[                                     # Dates to download the variable data for\n",
+    "        pd.to_datetime(date).date()\n",
+    "        for date in pd.date_range(\"2020-01-01\", \"2020-04-30\", freq=\"D\")\n",
+    "    ],\n",
+    "    path=\"./data\",                              # Location to download data to (default is `./data`)\n",
+    "    delete_tempfiles=True,                      # Whether to delete temporary downloaded files\n",
+    "    levels=[None for _ in vars],                # A list of None for number of variables\n",
+    "    max_threads=1,                              # Maximum number of concurrent downloads\n",
+    "    north=False,                                # Boolean: Whether require data across northern hemisphere\n",
+    "    south=True)                                 # Boolean: Whether require data across southern hemisphere\n",
+    "oras5.download()                                # Start downloading\n",
+    "oras5.regrid()\n",
+    "```"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

From 8a103151776b9e4afc9ae577a021b60caf917da5 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Fri, 7 Jun 2024 15:00:08 +0100
Subject: [PATCH 052/141] Dev #8: Change era5 var list to table

---
 notebook.ipynb | 26 ++++++++++++++++----------
 1 file changed, 16 insertions(+), 10 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 4979baa..5eda0db 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -319,16 +319,22 @@
     "\n",
     "A reference for understanding the variable names used above can be found [here](https://clipc-services.ceda.ac.uk/dreq/mipVars.html). These variable names are mapped to their equivalent ERA5 names within IceNet. For example, `uas` and `vas` are near-surface eastward and northward wind speed components in `m/s`. The variable mapping within Icenet for ERA5Downloader are:\n",
     "\n",
-    "    tas: 2m_temperature\n",
-    "    ta: temperature  # 500\n",
-    "    tos: sea_surface_temperature\n",
-    "    psl: surface_pressure\n",
-    "    zg: geopotential  # 250 and 500 (this is converted internally to geopotential height)\n",
-    "    hus: specific_humidity  # 1000\n",
-    "    rlds: surface_thermal_radiation_downwards\n",
-    "    rsds: surface_solar_radiation_downwards\n",
-    "    uas: 10m_u_component_of_wind\n",
-    "    vas: 10m_v_component_of_wind"
+    "<center>\n",
+    "\n",
+    "| Variable name | Definition                          |\n",
+    "|---------------|:------------------------------------|\n",
+    "| tas           | 2m_temperature                      |\n",
+    "| ta            | temperature                         |\n",
+    "| tos           | sea_surface_temperature             |\n",
+    "| psl           | surface_pressure                    |\n",
+    "| zg            | geopotential                        |\n",
+    "| hus           | specific_humidity                   |\n",
+    "| rlds          | surface_thermal_radiation_downwards |\n",
+    "| rsds          | surface_solar_radiation_downwards   |\n",
+    "| uas           | 10m_u_component_of_wind             |\n",
+    "| vas           | 10m_v_component_of_wind             |\n",
+    "\n",
+    "</center>"
    ]
   },
   {

From 044a3bda1033a6576feceeea0ac113a4624e9780 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Fri, 7 Jun 2024 15:14:14 +0100
Subject: [PATCH 053/141] Dev #8: Formatting + text updates of table

---
 notebook.ipynb | 14 +++++++++-----
 1 file changed, 9 insertions(+), 5 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 5eda0db..f029cb5 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -34,21 +34,25 @@
     "* Linux\n",
     "* macOS (Intel and Apple Silicon)\n",
     "\n",
-    "Windows is not supported, however, [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) should work, but is untested.\n",
+    "Windows: although [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) should work, but it is untested, and is not a supported platform.\n",
     "\n",
     "In terms of hardware, this notebook (and IceNet in general) does not require a GPU, however, when attempting a larger training run, the use of a GPU is highly recommended.\n",
     "\n",
     "### Acronyms\n",
     "\n",
+    "<center>\n",
+    "\n",
     "| Abbreviation | Definition    |\n",
     "|--------------|:--------------|\n",
-    "| API     | Application Programming Interface |\n",
-    "| CLI     | Command Line Interface |\n",
-    "| ECMWF   | European Centre for Medium-Range Weather Forecasts |\n",
+    "| API          | Application Programming Interface |\n",
+    "| CLI          | Command Line Interface |\n",
+    "| ECMWF        | European Centre for Medium-Range Weather Forecasts |\n",
     "| [ERA5](https://www.ecmwf.int/en/forecasts/dataset/ecmwf-reanalysis-v5)    | ECMWF Reanalysis v5 |\n",
     "| [ORAS5](https://www.ecmwf.int/en/forecasts/dataset/ocean-reanalysis-system-5)    | Ocean Reanalysis System 5 |\n",
     "| [OSI SAF](https://osi-saf.eumetsat.int/) | Ocean and Sea Ice Satellite Application Facility |\n",
-    "| SIC | Sea Ice Concentration |\n",
+    "| SIC          | Sea Ice Concentration |\n",
+    "\n",
+    "</center>\n",
     "\n",
     "### References\n",
     "\n",

From 4cdd1324bd093a8f89c7bd77ebf7dde1295c7783 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Fri, 7 Jun 2024 15:22:02 +0100
Subject: [PATCH 054/141] Dev #8: Updated ORAS5 DOI + references

---
 notebook.ipynb | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index f029cb5..9bf6183 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -76,8 +76,8 @@
     "The data sources used in this notebook rely on the following:\n",
     "* [ERA5](https://doi.org/10.24381/cds.adbb2d47):\n",
     "    Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 hourly data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: [10.24381/cds.adbb2d47](https://doi.org/10.24381/cds.adbb2d47) (Accessed on 02-JUN-2024)\n",
-    "* [ORAS5](https://doi.org/10.24381/cds.67e8eeb7):\n",
-    "    Copernicus Climate Change Service, Climate Data Store, (2021): ORAS5 global ocean reanalysis monthly data from 1958 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). DOI: [10.24381/cds.67e8eeb7](https://doi.org/10.24381/cds.67e8eeb7) (Accessed on 02-JUN-2024)\n",
+    "* [ORAS5](https://doi.org/10.48670/moi-00024):\n",
+    "    Generated using E.U. Copernicus Marine Service Information;. DOI: [10.48670/moi-00024](https://doi.org/10.48670/moi-00024) (Accessed on 07-JUN-2024)\n",
     "* [OSI SAF](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013):\n",
     "    OSI SAF Global sea ice concentration climate data record 1978-2020 (v3.0, 2022), OSI-450-a, doi:[10.15770/EUM_SAF_OSI_0013](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013). EUMETSAT Ocean and Sea Ice Satellite Application Facility. Data extracted from OSI SAF FTP server: (01-JAN-2020 to 30-APR-2020) accessed 02-Jun-2024.\n",
     "\n",
@@ -279,7 +279,7 @@
     "\n",
     "* The climate data used for training is from [ERA5](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview) reanalysis which covers the global climate since 1940 to the present time.\n",
     "\n",
-    "* Ocean data can be downloaded from [ORAS5](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-oras5?tab=overview) which also uses a reanalysis approach and contains global ocean and sea-ice reanalysis data. However, this is not utilised in this case since only monthly data is available.\n",
+    "* Ocean data can be downloaded from an ensemble of models, including [ORAS5](https://data.marine.copernicus.eu/product/GLOBAL_MULTIYEAR_PHY_ENS_001_031/description) which also uses a reanalysis approach and contains global ocean and sea-ice reanalysis data.\n",
     "\n",
     "Since these are both obtained from reanalysis, they are a combination of physical models and observational data. Due to the reanalysis approach, there is no temporal or spatial gap in the downloaded data. Both of these sets of data are obtained from the ECMWF's (European Centre for Medium-Range Weather Forecast) reanalysis systems.\n",
     "\n",
@@ -291,7 +291,7 @@
    "metadata": {},
    "source": [
     ":::{note}\n",
-    "Since the ERA5 and ORAS5 data downloads require registration before download, this demonstrator will only download and use observed sea ice concentration data for training.\n",
+    "Since both the ERA5 and ORAS5 data downloads require registration before download, this demonstrator will only download and use observed sea ice concentration data for training.\n",
     ":::\n",
     "\n",
     "### ERA5 Downloader\n",

From 06ab904cac9bd20f625faf5726c4ccd04ca330c0 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Fri, 7 Jun 2024 15:57:30 +0100
Subject: [PATCH 055/141] Add variable list and include units for ORAS5

---
 notebook.ipynb | 17 ++++++++++++++++-
 1 file changed, 16 insertions(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 9bf6183..6a76920 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -408,7 +408,22 @@
     "    south=True)                                 # Boolean: Whether require data across southern hemisphere\n",
     "oras5.download()                                # Start downloading\n",
     "oras5.regrid()\n",
-    "```"
+    "```\n",
+    "\n",
+    "The following variables are available via the downloader. These also follow the CMIP convention which can be referenced [here](https://clipc-services.ceda.ac.uk/dreq/mipVars.html); or, via the original dataset's manual found [here](https://catalogue.marine.copernicus.eu/documents/PUM/CMEMS-GLO-PUM-001-031.pdf), in which case, the variable name ends with `_oras`, e.g. search for `thetao_oras`.\n",
+    "\n",
+    "<center>\n",
+    "\n",
+    "| Variable name | Definition                                      | Units |\n",
+    "|---------------|:------------------------------------------------|-------|\n",
+    "| thetao        | Sea Water Potential Temperature                 | degC  |\n",
+    "| so            | Sea Water Salinity                              | PSU   |\n",
+    "| uo            | Sea Water Eastward Velocity                     | m/s   |\n",
+    "| vo            | Sea Water Northward Velocity                    | m/s   |\n",
+    "| zos           | Sea Surface Height Above Geoid                  | m     |\n",
+    "| mlotst        | Ocean Mixed Layer Thickness Defined by Sigma T  | m     |\n",
+    "\n",
+    "</center>"
    ]
   },
   {

From fafdd26e00ae41fe3119a8eb6b9247df6f65402b Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Fri, 7 Jun 2024 15:57:56 +0100
Subject: [PATCH 056/141] Update variable list and include units for ERA5

---
 notebook.ipynb | 24 ++++++++++++------------
 1 file changed, 12 insertions(+), 12 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 6a76920..722742c 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -325,18 +325,18 @@
     "\n",
     "<center>\n",
     "\n",
-    "| Variable name | Definition                          |\n",
-    "|---------------|:------------------------------------|\n",
-    "| tas           | 2m_temperature                      |\n",
-    "| ta            | temperature                         |\n",
-    "| tos           | sea_surface_temperature             |\n",
-    "| psl           | surface_pressure                    |\n",
-    "| zg            | geopotential                        |\n",
-    "| hus           | specific_humidity                   |\n",
-    "| rlds          | surface_thermal_radiation_downwards |\n",
-    "| rsds          | surface_solar_radiation_downwards   |\n",
-    "| uas           | 10m_u_component_of_wind             |\n",
-    "| vas           | 10m_v_component_of_wind             |\n",
+    "| Variable name | Definition                              | Units |\n",
+    "|---------------|:-------------------------------------   |-------|\n",
+    "| tas           | Near Surface Air Temperature (at 2m)    | K     |\n",
+    "| ta            | Air Temperature                         | m     |\n",
+    "| tos           | Sea Surface Temperature                 | K     |\n",
+    "| psl           | Sea Level Pressure at mean sea level    | Pa    |\n",
+    "| zg            | Geopotential Height                     | m     |\n",
+    "| hus           | Specific Humidity                       | -     |\n",
+    "| rlds          | Surface Downwelling Longwave Radiation  | W/m^2 |\n",
+    "| rsds          | Surface Downwelling Shortwave Radiation | W/m^2 |\n",
+    "| uas           | Eastward Near-Surface Wind at 10m       | m/s   |\n",
+    "| vas           | Eastward Near-Surface Wind at 10m       | m/s   |\n",
     "\n",
     "</center>"
    ]

From f60abff1ad548c39eded0cf67f8e0a9f2e9c1a14 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Fri, 7 Jun 2024 16:04:23 +0100
Subject: [PATCH 057/141] Dev #8: Add some code comments on n_filters_factor

---
 notebook.ipynb | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 722742c..8162569 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -1222,10 +1222,10 @@
     "trained_path, history = train_model(\n",
     "    run_name=run_name,\n",
     "    dataset=dataset,\n",
-    "    epochs=3,\n",
-    "    n_filters_factor=0.05,\n",
-    "    seed=seed,\n",
-    "    strategy=strategy,\n",
+    "    epochs=3,              # Number of epochs to run\n",
+    "    n_filters_factor=0.05, # Scale size of neural network\n",
+    "    seed=seed,             # Random seed\n",
+    "    strategy=strategy,     # Tensorflow's training strategy\n",
     "    training_verbosity=2,\n",
     "    workers=1\n",
     ")"

From ada5acdb2e8e30a1706c0b006cfacf8c94fdb926 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Fri, 7 Jun 2024 16:05:11 +0100
Subject: [PATCH 058/141] Dev #8: Clarify future update mention

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 8162569..7114de8 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -1247,7 +1247,7 @@
     "\n",
     "In much the same manner as with `train_model`, the `predict_forecast` method acts as a convenient entry point workflow system integration, CLI entry as well as an overridable method upon which to base custom implementations. Using the method directly relies on loading from a prepared (but perhaps not cached) dataset.\n",
     "\n",
-    "Some parameters are fed to `predict_forecast` that ideally shouldn't need to be specified (like `seed` and `n_filters_factor` (which can be used to scale the size of the neural network)) and might seem contextually odd. They're used to locate the appropriate saved network. *This will be cleaned up in a future version*."
+    "Some parameters are fed to `predict_forecast` that ideally shouldn't need to be specified (like `seed` and `n_filters_factor` (which can be used to scale the size of the neural network)) and might seem contextually odd. They're used to locate the appropriate saved network. *This will be cleaned up in a future version of IceNet*."
    ]
   },
   {

From 21e180795fe9fb189cfe8739610a1dc40f895558 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Fri, 7 Jun 2024 18:01:42 +0100
Subject: [PATCH 059/141] Update icenet lib usage to v0.2.9_dev

---
 .binder/environment.yml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.binder/environment.yml b/.binder/environment.yml
index 0fae774..8e0483b 100644
--- a/.binder/environment.yml
+++ b/.binder/environment.yml
@@ -11,8 +11,9 @@ dependencies:
   - "tensorflow<2.16=cpu*"
   - pip:
       - ecmwflibs
-      - icenet @ git+https://github.com/icenet-ai/icenet@3654dc4954eca6d28e16b4876bd6538abd1f0c06
+      - icenet @ git+https://github.com/icenet-ai/icenet@32558347fa8459a4414b5f30af16b04540ba9101
       - ipykernel
       - jupyterlab
       - nbdime
       - notebook
+      - copernicusmarine

From 853f66a10d89732f96ee0502b9a05ff2c675d080 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Fri, 7 Jun 2024 18:02:49 +0100
Subject: [PATCH 060/141] Dev #8: Add colourbar label to plot outputs

---
 notebook.ipynb | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 7114de8..6082d2a 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -1421,7 +1421,7 @@
     "    fc['time'] = [pd.to_datetime(forecast_date) \\\n",
     "                + dt.timedelta(days=int(e)) for e in fc.time.values]\n",
     "\n",
-    "    anim = xvid(fc, 15, figsize=4, mask=land_mask)\n",
+    "    anim = xvid(fc, 15, figsize=4, mask=land_mask, colorbar_label=\"Sea-ice concentration fraction\")\n",
     "    display(HTML(anim.to_jshtml()))"
    ]
   },
@@ -7978,7 +7978,7 @@
    "metadata": {},
    "source": [
     "## Additional information\n",
-    "**Codebase**: [IceNet v0.2.8a1](https://github.com/icenet-ai/icenet/tree/3654dc4954eca6d28e16b4876bd6538abd1f0c06).\n",
+    "**Codebase**: [IceNet v0.2.9a1](https://github.com/icenet-ai/icenet/tree/32558347fa8459a4414b5f30af16b04540ba9101).\n",
     "\n",
     "**License**: The code in this notebook is licensed under the MIT License. The Environmental Data Science book is licensed under the Creative Commons by Attribution 4.0 license. See further details [here](https://github.com/alan-turing-institute/environmental-ds-book/blob/master/LICENSE.md).\n",
     "\n",

From 0e81b8b720e154c8e1ca8c9a9e0f8120d8090a39 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Fri, 7 Jun 2024 18:27:51 +0100
Subject: [PATCH 061/141] Full run of notebook

---
 notebook.ipynb | 12200 ++++++++++++++++++++++++-----------------------
 1 file changed, 6140 insertions(+), 6060 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 6082d2a..1e92aa1 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -177,7 +177,6 @@
    "outputs": [],
    "source": [
     "from icenet.data.sic.mask import Masks\n",
-    "from icenet.data.interfaces.cds import ERA5Downloader\n",
     "from icenet.data.sic.osisaf import SICDownloader"
    ]
   },
@@ -225,37 +224,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "INFO:root:siconca ice_conc_sh_ease2-250_cdr-v2p0_200001021200.nc already exists\n",
-      "INFO:root:Saving ./data/masks/south/masks/active_grid_cell_mask_01.npy\n",
-      "INFO:root:siconca ice_conc_sh_ease2-250_cdr-v2p0_200002021200.nc already exists\n",
-      "INFO:root:Saving ./data/masks/south/masks/active_grid_cell_mask_02.npy\n",
-      "INFO:root:siconca ice_conc_sh_ease2-250_cdr-v2p0_200003021200.nc already exists\n",
-      "INFO:root:Saving ./data/masks/south/masks/active_grid_cell_mask_03.npy\n",
-      "INFO:root:siconca ice_conc_sh_ease2-250_cdr-v2p0_200004021200.nc already exists\n",
-      "INFO:root:Saving ./data/masks/south/masks/active_grid_cell_mask_04.npy\n",
-      "INFO:root:siconca ice_conc_sh_ease2-250_cdr-v2p0_200005021200.nc already exists\n",
-      "INFO:root:Saving ./data/masks/south/masks/active_grid_cell_mask_05.npy\n",
-      "INFO:root:siconca ice_conc_sh_ease2-250_cdr-v2p0_200006021200.nc already exists\n",
-      "INFO:root:Saving ./data/masks/south/masks/active_grid_cell_mask_06.npy\n",
-      "INFO:root:siconca ice_conc_sh_ease2-250_cdr-v2p0_200007021200.nc already exists\n",
-      "INFO:root:Saving ./data/masks/south/masks/active_grid_cell_mask_07.npy\n",
-      "INFO:root:siconca ice_conc_sh_ease2-250_cdr-v2p0_200008021200.nc already exists\n",
-      "INFO:root:Saving ./data/masks/south/masks/active_grid_cell_mask_08.npy\n",
-      "INFO:root:siconca ice_conc_sh_ease2-250_cdr-v2p0_200009021200.nc already exists\n",
-      "INFO:root:Saving ./data/masks/south/masks/active_grid_cell_mask_09.npy\n",
-      "INFO:root:siconca ice_conc_sh_ease2-250_cdr-v2p0_200010021200.nc already exists\n",
-      "INFO:root:Saving ./data/masks/south/masks/active_grid_cell_mask_10.npy\n",
-      "INFO:root:siconca ice_conc_sh_ease2-250_cdr-v2p0_200011021200.nc already exists\n",
-      "INFO:root:Saving ./data/masks/south/masks/active_grid_cell_mask_11.npy\n",
-      "INFO:root:siconca ice_conc_sh_ease2-250_cdr-v2p0_200012021200.nc already exists\n",
-      "INFO:root:Saving ./data/masks/south/masks/active_grid_cell_mask_12.npy\n"
+      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_01.npy, already exists\n",
+      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_02.npy, already exists\n",
+      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_03.npy, already exists\n",
+      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_04.npy, already exists\n",
+      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_05.npy, already exists\n",
+      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_06.npy, already exists\n",
+      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_07.npy, already exists\n",
+      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_08.npy, already exists\n",
+      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_09.npy, already exists\n",
+      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_10.npy, already exists\n",
+      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_11.npy, already exists\n",
+      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_12.npy, already exists\n"
      ]
     }
    ],
@@ -452,7 +439,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -530,7 +517,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -558,7 +545,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -569,18 +556,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:Creating path: ./processed/notebook_api_data/osisaf\n",
-      "INFO:root:Creating path: ./processed/notebook_api_data/meta\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "osi = IceNetOSIPreProcessor(\n",
     "    [\"siconca\"],                # Absolute normalised variables\n",
@@ -633,7 +611,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -654,6 +632,7 @@
       "INFO:root:Opening files for siconca\n",
       "INFO:root:Filtered to 121 units long based on configuration requirements\n",
       "INFO:root:No normalisation for siconca\n",
+      "INFO:root:Loading configuration ./loader.notebook_api_data.json\n",
       "INFO:root:Writing configuration to ./loader.notebook_api_data.json\n",
       "INFO:root:Loading configuration ./loader.notebook_api_data.json\n",
       "INFO:root:Writing configuration to ./loader.notebook_api_data.json\n"
@@ -687,14 +666,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "INFO:root:Creating path: ./network_datasets/api_dataset\n",
       "INFO:root:Loading configuration loader.notebook_api_data.json\n"
      ]
     }
@@ -729,7 +707,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -762,7 +740,7 @@
        " 'missing_dates': []}"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -780,7 +758,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -788,7 +766,7 @@
      "output_type": "stream",
      "text": [
       "INFO:root:Dashboard at localhost:8888\n",
-      "INFO:root:Using dask client <Client: 'tcp://127.0.0.1:33180' processes=1 threads=1, memory=503.20 GiB>\n",
+      "INFO:root:Using dask client <Client: 'tcp://127.0.0.1:40683' processes=1 threads=1, memory=503.20 GiB>\n",
       "INFO:root:4 train dates to process, generating cache data.\n",
       "INFO:root:Finished output ./network_datasets/api_dataset/south/train/00000000.tfrecord\n",
       "INFO:root:Finished output ./network_datasets/api_dataset/south/train/00000001.tfrecord\n",
@@ -802,7 +780,7 @@
       "INFO:root:2 test dates to process, generating cache data.\n",
       "INFO:root:Finished output ./network_datasets/api_dataset/south/test/00000000.tfrecord\n",
       "INFO:root:Finished output ./network_datasets/api_dataset/south/test/00000001.tfrecord\n",
-      "INFO:root:Average sample generation time: 1.488217544555664\n",
+      "INFO:root:Average sample generation time: 1.4531014680862426\n",
       "INFO:root:Writing configuration to ./dataset_config.api_dataset.json\n"
      ]
     },
@@ -810,8 +788,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 2.09 s, sys: 294 ms, total: 2.39 s\n",
-      "Wall time: 15.7 s\n"
+      "CPU times: user 2.37 s, sys: 282 ms, total: 2.65 s\n",
+      "Wall time: 13.5 s\n"
      ]
     }
    ],
@@ -829,7 +807,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -838,7 +816,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -876,14 +854,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "WARNING:root:PyTorch module not found - not mandatory if not using PyTorch\n",
+      "[07-06-24 18:22:55 :WARNING ] - PyTorch not found - not required if not using PyTorch\n",
       "INFO:root:Loading configuration dataset_config.api_dataset.json\n",
       "INFO:root:Training dataset path: ./network_datasets/api_dataset/south/train\n",
       "INFO:root:Validation dataset path: ./network_datasets/api_dataset/south/val\n",
@@ -908,7 +886,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
@@ -934,7 +912,7 @@
        " 'var_lag_override': {}}"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -952,7 +930,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
@@ -965,10 +943,10 @@
     {
      "data": {
       "text/plain": [
-       "<icenet.data.loaders.dask.DaskMultiWorkerLoader at 0x7f3e9814f190>"
+       "<icenet.data.loaders.dask.DaskMultiWorkerLoader at 0x7f3728768880>"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -986,14 +964,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "INFO:root:Creating network folder: ./results/networks/api_test_run\n",
       "INFO:root:Adding tensorboard callback\n"
      ]
     },
@@ -1003,122 +980,122 @@
      "text": [
       "Model: \"model\"\n",
       "__________________________________________________________________________________________________\n",
-      " Layer (type)                Output Shape                 Param #   Connected to                  \n",
+      " Layer (type)                   Output Shape         Param #     Connected to                     \n",
       "==================================================================================================\n",
-      " input_1 (InputLayer)        [(None, 432, 432, 4)]        0         []                            \n",
+      " input_1 (InputLayer)           [(None, 432, 432, 4  0           []                               \n",
+      "                                )]                                                                \n",
       "                                                                                                  \n",
-      " conv2d (Conv2D)             (None, 432, 432, 3)          111       ['input_1[0][0]']             \n",
+      " conv2d (Conv2D)                (None, 432, 432, 3)  111         ['input_1[0][0]']                \n",
       "                                                                                                  \n",
-      " conv2d_1 (Conv2D)           (None, 432, 432, 3)          84        ['conv2d[0][0]']              \n",
+      " conv2d_1 (Conv2D)              (None, 432, 432, 3)  84          ['conv2d[0][0]']                 \n",
       "                                                                                                  \n",
-      " batch_normalization (Batch  (None, 432, 432, 3)          12        ['conv2d_1[0][0]']            \n",
-      " Normalization)                                                                                   \n",
+      " batch_normalization (BatchNorm  (None, 432, 432, 3)  12         ['conv2d_1[0][0]']               \n",
+      " alization)                                                                                       \n",
       "                                                                                                  \n",
-      " max_pooling2d (MaxPooling2  (None, 216, 216, 3)          0         ['batch_normalization[0][0]'] \n",
-      " D)                                                                                               \n",
+      " max_pooling2d (MaxPooling2D)   (None, 216, 216, 3)  0           ['batch_normalization[0][0]']    \n",
       "                                                                                                  \n",
-      " conv2d_2 (Conv2D)           (None, 216, 216, 6)          168       ['max_pooling2d[0][0]']       \n",
+      " conv2d_2 (Conv2D)              (None, 216, 216, 6)  168         ['max_pooling2d[0][0]']          \n",
       "                                                                                                  \n",
-      " conv2d_3 (Conv2D)           (None, 216, 216, 6)          330       ['conv2d_2[0][0]']            \n",
+      " conv2d_3 (Conv2D)              (None, 216, 216, 6)  330         ['conv2d_2[0][0]']               \n",
       "                                                                                                  \n",
-      " batch_normalization_1 (Bat  (None, 216, 216, 6)          24        ['conv2d_3[0][0]']            \n",
-      " chNormalization)                                                                                 \n",
+      " batch_normalization_1 (BatchNo  (None, 216, 216, 6)  24         ['conv2d_3[0][0]']               \n",
+      " rmalization)                                                                                     \n",
       "                                                                                                  \n",
-      " max_pooling2d_1 (MaxPoolin  (None, 108, 108, 6)          0         ['batch_normalization_1[0][0]'\n",
-      " g2D)                                                               ]                             \n",
+      " max_pooling2d_1 (MaxPooling2D)  (None, 108, 108, 6)  0          ['batch_normalization_1[0][0]']  \n",
       "                                                                                                  \n",
-      " conv2d_4 (Conv2D)           (None, 108, 108, 12)         660       ['max_pooling2d_1[0][0]']     \n",
+      " conv2d_4 (Conv2D)              (None, 108, 108, 12  660         ['max_pooling2d_1[0][0]']        \n",
+      "                                )                                                                 \n",
       "                                                                                                  \n",
-      " conv2d_5 (Conv2D)           (None, 108, 108, 12)         1308      ['conv2d_4[0][0]']            \n",
+      " conv2d_5 (Conv2D)              (None, 108, 108, 12  1308        ['conv2d_4[0][0]']               \n",
+      "                                )                                                                 \n",
       "                                                                                                  \n",
-      " batch_normalization_2 (Bat  (None, 108, 108, 12)         48        ['conv2d_5[0][0]']            \n",
-      " chNormalization)                                                                                 \n",
+      " batch_normalization_2 (BatchNo  (None, 108, 108, 12  48         ['conv2d_5[0][0]']               \n",
+      " rmalization)                   )                                                                 \n",
       "                                                                                                  \n",
-      " max_pooling2d_2 (MaxPoolin  (None, 54, 54, 12)           0         ['batch_normalization_2[0][0]'\n",
-      " g2D)                                                               ]                             \n",
+      " max_pooling2d_2 (MaxPooling2D)  (None, 54, 54, 12)  0           ['batch_normalization_2[0][0]']  \n",
       "                                                                                                  \n",
-      " conv2d_6 (Conv2D)           (None, 54, 54, 12)           1308      ['max_pooling2d_2[0][0]']     \n",
+      " conv2d_6 (Conv2D)              (None, 54, 54, 12)   1308        ['max_pooling2d_2[0][0]']        \n",
       "                                                                                                  \n",
-      " conv2d_7 (Conv2D)           (None, 54, 54, 12)           1308      ['conv2d_6[0][0]']            \n",
+      " conv2d_7 (Conv2D)              (None, 54, 54, 12)   1308        ['conv2d_6[0][0]']               \n",
       "                                                                                                  \n",
-      " batch_normalization_3 (Bat  (None, 54, 54, 12)           48        ['conv2d_7[0][0]']            \n",
-      " chNormalization)                                                                                 \n",
+      " batch_normalization_3 (BatchNo  (None, 54, 54, 12)  48          ['conv2d_7[0][0]']               \n",
+      " rmalization)                                                                                     \n",
       "                                                                                                  \n",
-      " max_pooling2d_3 (MaxPoolin  (None, 27, 27, 12)           0         ['batch_normalization_3[0][0]'\n",
-      " g2D)                                                               ]                             \n",
+      " max_pooling2d_3 (MaxPooling2D)  (None, 27, 27, 12)  0           ['batch_normalization_3[0][0]']  \n",
       "                                                                                                  \n",
-      " conv2d_8 (Conv2D)           (None, 27, 27, 24)           2616      ['max_pooling2d_3[0][0]']     \n",
+      " conv2d_8 (Conv2D)              (None, 27, 27, 24)   2616        ['max_pooling2d_3[0][0]']        \n",
       "                                                                                                  \n",
-      " conv2d_9 (Conv2D)           (None, 27, 27, 24)           5208      ['conv2d_8[0][0]']            \n",
+      " conv2d_9 (Conv2D)              (None, 27, 27, 24)   5208        ['conv2d_8[0][0]']               \n",
       "                                                                                                  \n",
-      " batch_normalization_4 (Bat  (None, 27, 27, 24)           96        ['conv2d_9[0][0]']            \n",
-      " chNormalization)                                                                                 \n",
+      " batch_normalization_4 (BatchNo  (None, 27, 27, 24)  96          ['conv2d_9[0][0]']               \n",
+      " rmalization)                                                                                     \n",
       "                                                                                                  \n",
-      " up_sampling2d (UpSampling2  (None, 54, 54, 24)           0         ['batch_normalization_4[0][0]'\n",
-      " D)                                                                 ]                             \n",
+      " up_sampling2d (UpSampling2D)   (None, 54, 54, 24)   0           ['batch_normalization_4[0][0]']  \n",
       "                                                                                                  \n",
-      " conv2d_10 (Conv2D)          (None, 54, 54, 12)           1164      ['up_sampling2d[0][0]']       \n",
+      " conv2d_10 (Conv2D)             (None, 54, 54, 12)   1164        ['up_sampling2d[0][0]']          \n",
       "                                                                                                  \n",
-      " concatenate (Concatenate)   (None, 54, 54, 24)           0         ['batch_normalization_3[0][0]'\n",
-      "                                                                    , 'conv2d_10[0][0]']          \n",
+      " concatenate (Concatenate)      (None, 54, 54, 24)   0           ['batch_normalization_3[0][0]',  \n",
+      "                                                                  'conv2d_10[0][0]']              \n",
       "                                                                                                  \n",
-      " conv2d_11 (Conv2D)          (None, 54, 54, 12)           2604      ['concatenate[0][0]']         \n",
+      " conv2d_11 (Conv2D)             (None, 54, 54, 12)   2604        ['concatenate[0][0]']            \n",
       "                                                                                                  \n",
-      " conv2d_12 (Conv2D)          (None, 54, 54, 12)           1308      ['conv2d_11[0][0]']           \n",
+      " conv2d_12 (Conv2D)             (None, 54, 54, 12)   1308        ['conv2d_11[0][0]']              \n",
       "                                                                                                  \n",
-      " batch_normalization_5 (Bat  (None, 54, 54, 12)           48        ['conv2d_12[0][0]']           \n",
-      " chNormalization)                                                                                 \n",
+      " batch_normalization_5 (BatchNo  (None, 54, 54, 12)  48          ['conv2d_12[0][0]']              \n",
+      " rmalization)                                                                                     \n",
       "                                                                                                  \n",
-      " up_sampling2d_1 (UpSamplin  (None, 108, 108, 12)         0         ['batch_normalization_5[0][0]'\n",
-      " g2D)                                                               ]                             \n",
+      " up_sampling2d_1 (UpSampling2D)  (None, 108, 108, 12  0          ['batch_normalization_5[0][0]']  \n",
+      "                                )                                                                 \n",
       "                                                                                                  \n",
-      " conv2d_13 (Conv2D)          (None, 108, 108, 12)         588       ['up_sampling2d_1[0][0]']     \n",
+      " conv2d_13 (Conv2D)             (None, 108, 108, 12  588         ['up_sampling2d_1[0][0]']        \n",
+      "                                )                                                                 \n",
       "                                                                                                  \n",
-      " concatenate_1 (Concatenate  (None, 108, 108, 24)         0         ['batch_normalization_2[0][0]'\n",
-      " )                                                                  , 'conv2d_13[0][0]']          \n",
+      " concatenate_1 (Concatenate)    (None, 108, 108, 24  0           ['batch_normalization_2[0][0]',  \n",
+      "                                )                                 'conv2d_13[0][0]']              \n",
       "                                                                                                  \n",
-      " conv2d_14 (Conv2D)          (None, 108, 108, 12)         2604      ['concatenate_1[0][0]']       \n",
+      " conv2d_14 (Conv2D)             (None, 108, 108, 12  2604        ['concatenate_1[0][0]']          \n",
+      "                                )                                                                 \n",
       "                                                                                                  \n",
-      " conv2d_15 (Conv2D)          (None, 108, 108, 12)         1308      ['conv2d_14[0][0]']           \n",
+      " conv2d_15 (Conv2D)             (None, 108, 108, 12  1308        ['conv2d_14[0][0]']              \n",
+      "                                )                                                                 \n",
       "                                                                                                  \n",
-      " batch_normalization_6 (Bat  (None, 108, 108, 12)         48        ['conv2d_15[0][0]']           \n",
-      " chNormalization)                                                                                 \n",
+      " batch_normalization_6 (BatchNo  (None, 108, 108, 12  48         ['conv2d_15[0][0]']              \n",
+      " rmalization)                   )                                                                 \n",
       "                                                                                                  \n",
-      " up_sampling2d_2 (UpSamplin  (None, 216, 216, 12)         0         ['batch_normalization_6[0][0]'\n",
-      " g2D)                                                               ]                             \n",
+      " up_sampling2d_2 (UpSampling2D)  (None, 216, 216, 12  0          ['batch_normalization_6[0][0]']  \n",
+      "                                )                                                                 \n",
       "                                                                                                  \n",
-      " conv2d_16 (Conv2D)          (None, 216, 216, 6)          294       ['up_sampling2d_2[0][0]']     \n",
+      " conv2d_16 (Conv2D)             (None, 216, 216, 6)  294         ['up_sampling2d_2[0][0]']        \n",
       "                                                                                                  \n",
-      " concatenate_2 (Concatenate  (None, 216, 216, 12)         0         ['batch_normalization_1[0][0]'\n",
-      " )                                                                  , 'conv2d_16[0][0]']          \n",
+      " concatenate_2 (Concatenate)    (None, 216, 216, 12  0           ['batch_normalization_1[0][0]',  \n",
+      "                                )                                 'conv2d_16[0][0]']              \n",
       "                                                                                                  \n",
-      " conv2d_17 (Conv2D)          (None, 216, 216, 6)          654       ['concatenate_2[0][0]']       \n",
+      " conv2d_17 (Conv2D)             (None, 216, 216, 6)  654         ['concatenate_2[0][0]']          \n",
       "                                                                                                  \n",
-      " conv2d_18 (Conv2D)          (None, 216, 216, 6)          330       ['conv2d_17[0][0]']           \n",
+      " conv2d_18 (Conv2D)             (None, 216, 216, 6)  330         ['conv2d_17[0][0]']              \n",
       "                                                                                                  \n",
-      " batch_normalization_7 (Bat  (None, 216, 216, 6)          24        ['conv2d_18[0][0]']           \n",
-      " chNormalization)                                                                                 \n",
+      " batch_normalization_7 (BatchNo  (None, 216, 216, 6)  24         ['conv2d_18[0][0]']              \n",
+      " rmalization)                                                                                     \n",
       "                                                                                                  \n",
-      " up_sampling2d_3 (UpSamplin  (None, 432, 432, 6)          0         ['batch_normalization_7[0][0]'\n",
-      " g2D)                                                               ]                             \n",
+      " up_sampling2d_3 (UpSampling2D)  (None, 432, 432, 6)  0          ['batch_normalization_7[0][0]']  \n",
       "                                                                                                  \n",
-      " conv2d_19 (Conv2D)          (None, 432, 432, 3)          75        ['up_sampling2d_3[0][0]']     \n",
+      " conv2d_19 (Conv2D)             (None, 432, 432, 3)  75          ['up_sampling2d_3[0][0]']        \n",
       "                                                                                                  \n",
-      " concatenate_3 (Concatenate  (None, 432, 432, 6)          0         ['conv2d_1[0][0]',            \n",
-      " )                                                                   'conv2d_19[0][0]']           \n",
+      " concatenate_3 (Concatenate)    (None, 432, 432, 6)  0           ['conv2d_1[0][0]',               \n",
+      "                                                                  'conv2d_19[0][0]']              \n",
       "                                                                                                  \n",
-      " conv2d_20 (Conv2D)          (None, 432, 432, 3)          165       ['concatenate_3[0][0]']       \n",
+      " conv2d_20 (Conv2D)             (None, 432, 432, 3)  165         ['concatenate_3[0][0]']          \n",
       "                                                                                                  \n",
-      " conv2d_21 (Conv2D)          (None, 432, 432, 3)          84        ['conv2d_20[0][0]']           \n",
+      " conv2d_21 (Conv2D)             (None, 432, 432, 3)  84          ['conv2d_20[0][0]']              \n",
       "                                                                                                  \n",
-      " conv2d_22 (Conv2D)          (None, 432, 432, 3)          84        ['conv2d_21[0][0]']           \n",
+      " conv2d_22 (Conv2D)             (None, 432, 432, 3)  84          ['conv2d_21[0][0]']              \n",
       "                                                                                                  \n",
-      " conv2d_23 (Conv2D)          (None, 432, 432, 3)          12        ['conv2d_22[0][0]']           \n",
+      " conv2d_23 (Conv2D)             (None, 432, 432, 3)  12          ['conv2d_22[0][0]']              \n",
       "                                                                                                  \n",
       "==================================================================================================\n",
-      "Total params: 24723 (96.57 KB)\n",
-      "Trainable params: 24549 (95.89 KB)\n",
-      "Non-trainable params: 174 (696.00 Byte)\n",
+      "Total params: 24,723\n",
+      "Trainable params: 24,549\n",
+      "Non-trainable params: 174\n",
       "__________________________________________________________________________________________________\n"
      ]
     },
@@ -1140,8 +1117,8 @@
      "text": [
       "Epoch 1/3\n",
       "\n",
-      "Epoch 1: val_rmse improved from inf to 45.42295, saving model to ./results/networks/api_test_run/api_test_run.network_api_dataset.42.h5\n",
-      "4/4 - 7s - loss: 423.8078 - binacc: 28.7290 - mae: 45.4114 - rmse: 48.2824 - mse: 2728.2200 - val_loss: 375.0953 - val_binacc: 32.3950 - val_mae: 43.4860 - val_rmse: 45.4230 - val_mse: 2481.3853 - lr: 1.0000e-04 - 7s/epoch - 2s/step\n"
+      "Epoch 1: val_rmse improved from inf to 45.12590, saving model to ./results/networks/api_test_run/api_test_run.network_api_dataset.42.h5\n",
+      "4/4 - 6s - loss: 379.8746 - binacc: 28.7012 - mae: 43.4746 - rmse: 45.7114 - mse: 2462.1489 - val_loss: 370.2051 - val_binacc: 32.3950 - val_mae: 43.3717 - val_rmse: 45.1259 - val_mse: 2436.1155 - lr: 1.0000e-04 - 6s/epoch - 2s/step\n"
      ]
     },
     {
@@ -1159,8 +1136,8 @@
      "text": [
       "Epoch 2/3\n",
       "\n",
-      "Epoch 2: val_rmse did not improve from 45.42295\n",
-      "4/4 - 1s - loss: 418.8643 - binacc: 28.7371 - mae: 45.2060 - rmse: 48.0000 - mse: 2703.3257 - val_loss: 375.2060 - val_binacc: 32.3950 - val_mae: 43.4975 - val_rmse: 45.4297 - val_mse: 2481.5679 - lr: 1.0000e-04 - 1s/epoch - 294ms/step\n"
+      "Epoch 2: val_rmse improved from 45.12590 to 45.11269, saving model to ./results/networks/api_test_run/api_test_run.network_api_dataset.42.h5\n",
+      "4/4 - 2s - loss: 378.9341 - binacc: 28.7042 - mae: 43.4341 - rmse: 45.6548 - mse: 2458.3232 - val_loss: 369.9885 - val_binacc: 32.3950 - val_mae: 43.3613 - val_rmse: 45.1127 - val_mse: 2434.0029 - lr: 1.0000e-04 - 2s/epoch - 379ms/step\n"
      ]
     },
     {
@@ -1178,15 +1155,16 @@
      "text": [
       "Epoch 3/3\n",
       "\n",
-      "Epoch 3: val_rmse did not improve from 45.42295\n",
-      "4/4 - 1s - loss: 414.3061 - binacc: 28.7408 - mae: 45.0131 - rmse: 47.7381 - mse: 2679.6941 - val_loss: 375.3942 - val_binacc: 32.3950 - val_mae: 43.5138 - val_rmse: 45.4411 - val_mse: 2481.4302 - lr: 1.0000e-04 - 1s/epoch - 297ms/step\n"
+      "Epoch 3: val_rmse improved from 45.11269 to 45.09289, saving model to ./results/networks/api_test_run/api_test_run.network_api_dataset.42.h5\n",
+      "4/4 - 2s - loss: 378.1672 - binacc: 28.7121 - mae: 43.4013 - rmse: 45.6086 - mse: 2454.6501 - val_loss: 369.6639 - val_binacc: 32.3950 - val_mae: 43.3445 - val_rmse: 45.0929 - val_mse: 2430.7739 - lr: 1.0000e-04 - 2s/epoch - 407ms/step\n"
      ]
     },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "INFO:root:Saving network to: ./results/networks/api_test_run/api_test_run.network_api_dataset.42.h5\n"
+      "INFO:root:Saving network to: ./results/networks/api_test_run/api_test_run.network_api_dataset.42.h5\n",
+      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 25). These functions will not be directly callable after loading.\n"
      ]
     },
     {
@@ -1207,8 +1185,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 24.4 s, sys: 2.82 s, total: 27.2 s\n",
-      "Wall time: 12.9 s\n"
+      "CPU times: user 24.6 s, sys: 2.82 s, total: 27.4 s\n",
+      "Wall time: 14.2 s\n"
      ]
     }
    ],
@@ -1252,7 +1230,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -1268,6 +1246,7 @@
       "INFO:root:Datasets: 8 train, 8 val and 4 test filenames\n",
       "INFO:root:Processing test batch 1, item 0 (date 2020-04-01)\n",
       "INFO:root:Running prediction 2020-04-01\n",
+      "WARNING:root:./results/predict/custom_run_forecast/api_test_run.42 output already exists\n",
       "INFO:root:Saving 2020-04-01 - forecast output (1, 432, 432, 3)\n",
       "INFO:root:Processing test batch 1, item 1 (date 2020-04-02)\n",
       "INFO:root:Running prediction 2020-04-02\n",
@@ -1279,8 +1258,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 1.82 s, sys: 237 ms, total: 2.05 s\n",
-      "Wall time: 1.11 s\n"
+      "CPU times: user 1.5 s, sys: 177 ms, total: 1.68 s\n",
+      "Wall time: 1.05 s\n"
      ]
     }
    ],
@@ -1327,7 +1306,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -1345,14 +1324,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "WARNING:root:PyTorch module not found - not mandatory if not using PyTorch\n"
+      "[07-06-24 18:23:13 :WARNING ] - PyTorch not found - not required if not using PyTorch\n",
+      "[07-06-24 18:23:13 :INFO    ] - Loading configuration ./dataset_config.api_dataset.json\n",
+      "[07-06-24 18:23:13 :INFO    ] - Training dataset path: ./network_datasets/api_dataset/south/train\n",
+      "[07-06-24 18:23:13 :INFO    ] - Validation dataset path: ./network_datasets/api_dataset/south/val\n",
+      "[07-06-24 18:23:13 :INFO    ] - Test dataset path: ./network_datasets/api_dataset/south/test\n",
+      "[07-06-24 18:23:14 :INFO    ] - Post-processing 2020-04-01\n",
+      "[07-06-24 18:23:14 :INFO    ] - Post-processing 2020-04-02\n",
+      "[07-06-24 18:23:14 :INFO    ] - Dataset arr shape: (2, 432, 432, 3, 2)\n",
+      "[07-06-24 18:23:14 :INFO    ] - Applying active grid cell masks\n",
+      "[07-06-24 18:23:14 :INFO    ] - Land masking the forecast output\n",
+      "[07-06-24 18:23:14 :INFO    ] - Applying zeros to land mask\n",
+      "[07-06-24 18:23:14 :INFO    ] - Saving to ./results/predict/custom_run_forecast.nc\n"
      ]
     }
    ],
@@ -1388,7 +1378,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1438,7 +1428,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -1647,42 +1637,42 @@
        "</style>\n",
        "\n",
        "<div class=\"animation\">\n",
-       "  <img id=\"_anim_img793ec79995934dedb24266dfe0ede70c\">\n",
+       "  <img id=\"_anim_img22f9ae600559406099ea53b8d0aa2364\">\n",
        "  <div class=\"anim-controls\">\n",
-       "    <input id=\"_anim_slider793ec79995934dedb24266dfe0ede70c\" type=\"range\" class=\"anim-slider\"\n",
+       "    <input id=\"_anim_slider22f9ae600559406099ea53b8d0aa2364\" type=\"range\" class=\"anim-slider\"\n",
        "           name=\"points\" min=\"0\" max=\"1\" step=\"1\" value=\"0\"\n",
-       "           oninput=\"anim793ec79995934dedb24266dfe0ede70c.set_frame(parseInt(this.value));\">\n",
+       "           oninput=\"anim22f9ae600559406099ea53b8d0aa2364.set_frame(parseInt(this.value));\">\n",
        "    <div class=\"anim-buttons\">\n",
-       "      <button title=\"Decrease speed\" aria-label=\"Decrease speed\" onclick=\"anim793ec79995934dedb24266dfe0ede70c.slower()\">\n",
+       "      <button title=\"Decrease speed\" aria-label=\"Decrease speed\" onclick=\"anim22f9ae600559406099ea53b8d0aa2364.slower()\">\n",
        "          <i class=\"fa fa-minus\"></i></button>\n",
-       "      <button title=\"First frame\" aria-label=\"First frame\" onclick=\"anim793ec79995934dedb24266dfe0ede70c.first_frame()\">\n",
+       "      <button title=\"First frame\" aria-label=\"First frame\" onclick=\"anim22f9ae600559406099ea53b8d0aa2364.first_frame()\">\n",
        "        <i class=\"fa fa-fast-backward\"></i></button>\n",
-       "      <button title=\"Previous frame\" aria-label=\"Previous frame\" onclick=\"anim793ec79995934dedb24266dfe0ede70c.previous_frame()\">\n",
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        "          <i class=\"fa fa-step-backward\"></i></button>\n",
-       "      <button title=\"Play backwards\" aria-label=\"Play backwards\" onclick=\"anim793ec79995934dedb24266dfe0ede70c.reverse_animation()\">\n",
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        "          <i class=\"fa fa-play fa-flip-horizontal\"></i></button>\n",
-       "      <button title=\"Pause\" aria-label=\"Pause\" onclick=\"anim793ec79995934dedb24266dfe0ede70c.pause_animation()\">\n",
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-       "      <button title=\"Play\" aria-label=\"Play\" onclick=\"anim793ec79995934dedb24266dfe0ede70c.play_animation()\">\n",
+       "      <button title=\"Play\" aria-label=\"Play\" onclick=\"anim22f9ae600559406099ea53b8d0aa2364.play_animation()\">\n",
        "          <i class=\"fa fa-play\"></i></button>\n",
-       "      <button title=\"Next frame\" aria-label=\"Next frame\" onclick=\"anim793ec79995934dedb24266dfe0ede70c.next_frame()\">\n",
+       "      <button title=\"Next frame\" aria-label=\"Next frame\" onclick=\"anim22f9ae600559406099ea53b8d0aa2364.next_frame()\">\n",
        "          <i class=\"fa fa-step-forward\"></i></button>\n",
-       "      <button title=\"Last frame\" aria-label=\"Last frame\" onclick=\"anim793ec79995934dedb24266dfe0ede70c.last_frame()\">\n",
+       "      <button title=\"Last frame\" aria-label=\"Last frame\" onclick=\"anim22f9ae600559406099ea53b8d0aa2364.last_frame()\">\n",
        "          <i class=\"fa fa-fast-forward\"></i></button>\n",
-       "      <button title=\"Increase speed\" aria-label=\"Increase speed\" onclick=\"anim793ec79995934dedb24266dfe0ede70c.faster()\">\n",
+       "      <button title=\"Increase speed\" aria-label=\"Increase speed\" onclick=\"anim22f9ae600559406099ea53b8d0aa2364.faster()\">\n",
        "          <i class=\"fa fa-plus\"></i></button>\n",
        "    </div>\n",
-       "    <form title=\"Repetition mode\" aria-label=\"Repetition mode\" action=\"#n\" name=\"_anim_loop_select793ec79995934dedb24266dfe0ede70c\"\n",
+       "    <form title=\"Repetition mode\" aria-label=\"Repetition mode\" action=\"#n\" name=\"_anim_loop_select22f9ae600559406099ea53b8d0aa2364\"\n",
        "          class=\"anim-state\">\n",
-       "      <input type=\"radio\" name=\"state\" value=\"once\" id=\"_anim_radio1_793ec79995934dedb24266dfe0ede70c\"\n",
+       "      <input type=\"radio\" name=\"state\" value=\"once\" id=\"_anim_radio1_22f9ae600559406099ea53b8d0aa2364\"\n",
        "             >\n",
-       "      <label for=\"_anim_radio1_793ec79995934dedb24266dfe0ede70c\">Once</label>\n",
-       "      <input type=\"radio\" name=\"state\" value=\"loop\" id=\"_anim_radio2_793ec79995934dedb24266dfe0ede70c\"\n",
+       "      <label for=\"_anim_radio1_22f9ae600559406099ea53b8d0aa2364\">Once</label>\n",
+       "      <input type=\"radio\" name=\"state\" value=\"loop\" id=\"_anim_radio2_22f9ae600559406099ea53b8d0aa2364\"\n",
        "             checked>\n",
-       "      <label for=\"_anim_radio2_793ec79995934dedb24266dfe0ede70c\">Loop</label>\n",
-       "      <input type=\"radio\" name=\"state\" value=\"reflect\" id=\"_anim_radio3_793ec79995934dedb24266dfe0ede70c\"\n",
+       "      <label for=\"_anim_radio2_22f9ae600559406099ea53b8d0aa2364\">Loop</label>\n",
+       "      <input type=\"radio\" name=\"state\" value=\"reflect\" id=\"_anim_radio3_22f9ae600559406099ea53b8d0aa2364\"\n",
        "             >\n",
-       "      <label for=\"_anim_radio3_793ec79995934dedb24266dfe0ede70c\">Reflect</label>\n",
+       "      <label for=\"_anim_radio3_22f9ae600559406099ea53b8d0aa2364\">Reflect</label>\n",
        "    </form>\n",
        "  </div>\n",
        "</div>\n",
@@ -1692,3262 +1682,3103 @@
        "  /* Instantiate the Animation class. */\n",
        "  /* The IDs given should match those used in the template above. */\n",
        "  (function() {\n",
-       "    var img_id = \"_anim_img793ec79995934dedb24266dfe0ede70c\";\n",
-       "    var slider_id = \"_anim_slider793ec79995934dedb24266dfe0ede70c\";\n",
-       "    var loop_select_id = \"_anim_loop_select793ec79995934dedb24266dfe0ede70c\";\n",
+       "    var img_id = \"_anim_img22f9ae600559406099ea53b8d0aa2364\";\n",
+       "    var slider_id = \"_anim_slider22f9ae600559406099ea53b8d0aa2364\";\n",
+       "    var loop_select_id = \"_anim_loop_select22f9ae600559406099ea53b8d0aa2364\";\n",
        "    var frames = new Array(3);\n",
        "    \n",
        "  frames[0] = \"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAJYCAYAAAC+ZpjcAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\\\n",
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+       "IiIiYjMFLBERERGbKWCJiIiI2EwBS0RERMRmClgiIiIiNlPAEhEREbGZApaIiIiIzRSwRERERGym\\\n",
+       "gCUiIiJiMwUsEREREZspYImIiIjY7P8Bj5/e1vNMMRkAAAAASUVORK5CYII=\\\n",
        "\"\n",
        "\n",
        "\n",
        "    /* set a timeout to make sure all the above elements are created before\n",
        "       the object is initialized. */\n",
        "    setTimeout(function() {\n",
-       "        anim793ec79995934dedb24266dfe0ede70c = new Animation(frames, img_id, slider_id, 66.0,\n",
+       "        anim22f9ae600559406099ea53b8d0aa2364 = new Animation(frames, img_id, slider_id, 66.0,\n",
        "                                 loop_select_id);\n",
        "    }, 0);\n",
        "  })()\n",
@@ -5026,7 +4857,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -5034,7 +4865,10 @@
      "output_type": "stream",
      "text": [
       "INFO:root:Inspecting data\n",
-      "INFO:root:Initialising plot\n"
+      "INFO:root:Initialising plot\n",
+      "INFO:root:Animating\n",
+      "INFO:root:Not saving plot, will return animation\n",
+      "INFO:matplotlib.animation:Animation.save using <class 'matplotlib.animation.HTMLWriter'>\n"
      ]
     },
     {
@@ -5044,15 +4878,6 @@
       "2020-04-01T00:00:00.000000000\n"
      ]
     },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:Animating\n",
-      "INFO:root:Not saving plot, will return animation\n",
-      "INFO:matplotlib.animation:Animation.save using <class 'matplotlib.animation.HTMLWriter'>\n"
-     ]
-    },
     {
      "data": {
       "text/html": [
@@ -5241,42 +5066,42 @@
        "</style>\n",
        "\n",
        "<div class=\"animation\">\n",
-       "  <img id=\"_anim_img9e58b0284d124939a3321bb04986ce2c\">\n",
+       "  <img id=\"_anim_imgf064ae8d31f947f39f19f20487712106\">\n",
        "  <div class=\"anim-controls\">\n",
-       "    <input id=\"_anim_slider9e58b0284d124939a3321bb04986ce2c\" type=\"range\" class=\"anim-slider\"\n",
+       "    <input id=\"_anim_sliderf064ae8d31f947f39f19f20487712106\" type=\"range\" class=\"anim-slider\"\n",
        "           name=\"points\" min=\"0\" max=\"1\" step=\"1\" value=\"0\"\n",
-       "           oninput=\"anim9e58b0284d124939a3321bb04986ce2c.set_frame(parseInt(this.value));\">\n",
+       "           oninput=\"animf064ae8d31f947f39f19f20487712106.set_frame(parseInt(this.value));\">\n",
        "    <div class=\"anim-buttons\">\n",
-       "      <button title=\"Decrease speed\" aria-label=\"Decrease speed\" onclick=\"anim9e58b0284d124939a3321bb04986ce2c.slower()\">\n",
+       "      <button title=\"Decrease speed\" aria-label=\"Decrease speed\" onclick=\"animf064ae8d31f947f39f19f20487712106.slower()\">\n",
        "          <i class=\"fa fa-minus\"></i></button>\n",
-       "      <button title=\"First frame\" aria-label=\"First frame\" onclick=\"anim9e58b0284d124939a3321bb04986ce2c.first_frame()\">\n",
+       "      <button title=\"First frame\" aria-label=\"First frame\" onclick=\"animf064ae8d31f947f39f19f20487712106.first_frame()\">\n",
        "        <i class=\"fa fa-fast-backward\"></i></button>\n",
-       "      <button title=\"Previous frame\" aria-label=\"Previous frame\" onclick=\"anim9e58b0284d124939a3321bb04986ce2c.previous_frame()\">\n",
+       "      <button title=\"Previous frame\" aria-label=\"Previous frame\" onclick=\"animf064ae8d31f947f39f19f20487712106.previous_frame()\">\n",
        "          <i class=\"fa fa-step-backward\"></i></button>\n",
-       "      <button title=\"Play backwards\" aria-label=\"Play backwards\" onclick=\"anim9e58b0284d124939a3321bb04986ce2c.reverse_animation()\">\n",
+       "      <button title=\"Play backwards\" aria-label=\"Play backwards\" onclick=\"animf064ae8d31f947f39f19f20487712106.reverse_animation()\">\n",
        "          <i class=\"fa fa-play fa-flip-horizontal\"></i></button>\n",
-       "      <button title=\"Pause\" aria-label=\"Pause\" onclick=\"anim9e58b0284d124939a3321bb04986ce2c.pause_animation()\">\n",
+       "      <button title=\"Pause\" aria-label=\"Pause\" onclick=\"animf064ae8d31f947f39f19f20487712106.pause_animation()\">\n",
        "          <i class=\"fa fa-pause\"></i></button>\n",
-       "      <button title=\"Play\" aria-label=\"Play\" onclick=\"anim9e58b0284d124939a3321bb04986ce2c.play_animation()\">\n",
+       "      <button title=\"Play\" aria-label=\"Play\" onclick=\"animf064ae8d31f947f39f19f20487712106.play_animation()\">\n",
        "          <i class=\"fa fa-play\"></i></button>\n",
-       "      <button title=\"Next frame\" aria-label=\"Next frame\" onclick=\"anim9e58b0284d124939a3321bb04986ce2c.next_frame()\">\n",
+       "      <button title=\"Next frame\" aria-label=\"Next frame\" onclick=\"animf064ae8d31f947f39f19f20487712106.next_frame()\">\n",
        "          <i class=\"fa fa-step-forward\"></i></button>\n",
-       "      <button title=\"Last frame\" aria-label=\"Last frame\" onclick=\"anim9e58b0284d124939a3321bb04986ce2c.last_frame()\">\n",
+       "      <button title=\"Last frame\" aria-label=\"Last frame\" onclick=\"animf064ae8d31f947f39f19f20487712106.last_frame()\">\n",
        "          <i class=\"fa fa-fast-forward\"></i></button>\n",
-       "      <button title=\"Increase speed\" aria-label=\"Increase speed\" onclick=\"anim9e58b0284d124939a3321bb04986ce2c.faster()\">\n",
+       "      <button title=\"Increase speed\" aria-label=\"Increase speed\" onclick=\"animf064ae8d31f947f39f19f20487712106.faster()\">\n",
        "          <i class=\"fa fa-plus\"></i></button>\n",
        "    </div>\n",
-       "    <form title=\"Repetition mode\" aria-label=\"Repetition mode\" action=\"#n\" name=\"_anim_loop_select9e58b0284d124939a3321bb04986ce2c\"\n",
+       "    <form title=\"Repetition mode\" aria-label=\"Repetition mode\" action=\"#n\" name=\"_anim_loop_selectf064ae8d31f947f39f19f20487712106\"\n",
        "          class=\"anim-state\">\n",
-       "      <input type=\"radio\" name=\"state\" value=\"once\" id=\"_anim_radio1_9e58b0284d124939a3321bb04986ce2c\"\n",
+       "      <input type=\"radio\" name=\"state\" value=\"once\" id=\"_anim_radio1_f064ae8d31f947f39f19f20487712106\"\n",
        "             >\n",
-       "      <label for=\"_anim_radio1_9e58b0284d124939a3321bb04986ce2c\">Once</label>\n",
-       "      <input type=\"radio\" name=\"state\" value=\"loop\" id=\"_anim_radio2_9e58b0284d124939a3321bb04986ce2c\"\n",
+       "      <label for=\"_anim_radio1_f064ae8d31f947f39f19f20487712106\">Once</label>\n",
+       "      <input type=\"radio\" name=\"state\" value=\"loop\" id=\"_anim_radio2_f064ae8d31f947f39f19f20487712106\"\n",
        "             checked>\n",
-       "      <label for=\"_anim_radio2_9e58b0284d124939a3321bb04986ce2c\">Loop</label>\n",
-       "      <input type=\"radio\" name=\"state\" value=\"reflect\" id=\"_anim_radio3_9e58b0284d124939a3321bb04986ce2c\"\n",
+       "      <label for=\"_anim_radio2_f064ae8d31f947f39f19f20487712106\">Loop</label>\n",
+       "      <input type=\"radio\" name=\"state\" value=\"reflect\" id=\"_anim_radio3_f064ae8d31f947f39f19f20487712106\"\n",
        "             >\n",
-       "      <label for=\"_anim_radio3_9e58b0284d124939a3321bb04986ce2c\">Reflect</label>\n",
+       "      <label for=\"_anim_radio3_f064ae8d31f947f39f19f20487712106\">Reflect</label>\n",
        "    </form>\n",
        "  </div>\n",
        "</div>\n",
@@ -5286,2635 +5111,2890 @@
        "  /* Instantiate the Animation class. */\n",
        "  /* The IDs given should match those used in the template above. */\n",
        "  (function() {\n",
-       "    var img_id = \"_anim_img9e58b0284d124939a3321bb04986ce2c\";\n",
-       "    var slider_id = \"_anim_slider9e58b0284d124939a3321bb04986ce2c\";\n",
-       "    var loop_select_id = \"_anim_loop_select9e58b0284d124939a3321bb04986ce2c\";\n",
+       "    var img_id = \"_anim_imgf064ae8d31f947f39f19f20487712106\";\n",
+       "    var slider_id = \"_anim_sliderf064ae8d31f947f39f19f20487712106\";\n",
+       "    var loop_select_id = \"_anim_loop_selectf064ae8d31f947f39f19f20487712106\";\n",
        "    var frames = new Array(3);\n",
        "    \n",
        "  frames[0] = \"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAJYCAYAAAC+ZpjcAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\\\n",
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+       "AABJRU5ErkJggg==\\\n",
        "\"\n",
        "\n",
        "\n",
        "    /* set a timeout to make sure all the above elements are created before\n",
        "       the object is initialized. */\n",
        "    setTimeout(function() {\n",
-       "        anim9e58b0284d124939a3321bb04986ce2c = new Animation(frames, img_id, slider_id, 66.0,\n",
+       "        animf064ae8d31f947f39f19f20487712106 = new Animation(frames, img_id, slider_id, 66.0,\n",
        "                                 loop_select_id);\n",
        "    }, 0);\n",
        "  })()\n",
@@ -7987,14 +8067,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "IceNet version: 0.2.8a1\n"
+      "IceNet version: 0.2.9_dev\n"
      ]
     }
    ],
@@ -8006,7 +8086,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 26,
    "metadata": {
     "collapsed": false
    },
@@ -8015,7 +8095,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Last tested: 2024-03-18\n"
+      "Last tested: 2024-06-07\n"
      ]
     }
    ],
@@ -8041,7 +8121,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.0"
+   "version": "3.10.14"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {

From 734539b93114f878c4b9038a0ca0c0fa8292e634 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Wed, 26 Jun 2024 10:29:08 +0100
Subject: [PATCH 062/141] Fixed temperature units

---
 notebook.ipynb | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index a763b39..4cb2700 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -2,15 +2,18 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "source": [
-    "<div class=\"alert alert-block alert-warning\"> <b>Authors and Reviewers</b>. This is the notebook version for review. We will remove this markdown cell after the peer-review. </div>"
-   ],
    "metadata": {
     "collapsed": false
-   }
+   },
+   "source": [
+    "<div class=\"alert alert-block alert-warning\"> <b>Authors and Reviewers</b>. This is the notebook version for review. We will remove this markdown cell after the peer-review. </div>"
+   ]
   },
   {
    "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
    "source": [
     "# Sea ice forecasting using the IceNet library\n",
     "\n",
@@ -123,10 +126,7 @@
     "\n",
     "#### Involved organisations\n",
     "The Alan Turing Institute and British Antarctic Survey"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+   ]
   },
   {
    "cell_type": "markdown",
@@ -326,7 +326,7 @@
     "| Variable name | Definition                              | Units |\n",
     "|---------------|:-------------------------------------   |-------|\n",
     "| tas           | Near Surface Air Temperature (at 2m)    | K     |\n",
-    "| ta            | Air Temperature                         | m     |\n",
+    "| ta            | Air Temperature                         | K     |\n",
     "| tos           | Sea Surface Temperature                 | K     |\n",
     "| psl           | Sea Level Pressure at mean sea level    | Pa    |\n",
     "| zg            | Geopotential Height                     | m     |\n",

From acbefd26bea462e4be745609c07b3259c4be0dd7 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Wed, 26 Jun 2024 10:31:51 +0100
Subject: [PATCH 063/141] Add my email contact

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 4cb2700..013c579 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -107,7 +107,7 @@
     ":::{note}\n",
     "__More in-depth notebooks on using IceNet are available [in this repository](https://github.com/icenet-ai/icenet-notebooks)__, including the use of ensemble modelling, and library extension to use different backends and neural network models.\n",
     "\n",
-    "Contact me at _jambyr \\<at\\> bas.ac.uk_ for anything else...\n",
+    "Contact us at either _bryald \\<at\\> bas.ac.uk_ or _jambyr \\<at\\> bas.ac.uk_ for anything else...\n",
     ":::\n",
     "\n",
     "\n",

From d6473ef4dcc78e4312bb794a54a05fced59cc274 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Wed, 26 Jun 2024 10:45:04 +0100
Subject: [PATCH 064/141] Update LICENSE mention to this repo's instead of EDS
 Book

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 013c579..8fbba14 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -8071,7 +8071,7 @@
     "## Additional information\n",
     "**Codebase**: [IceNet v0.2.9a1](https://github.com/icenet-ai/icenet/tree/32558347fa8459a4414b5f30af16b04540ba9101).\n",
     "\n",
-    "**License**: The code in this notebook is licensed under the MIT License. The Environmental Data Science book is licensed under the Creative Commons by Attribution 4.0 license. See further details [here](https://github.com/alan-turing-institute/environmental-ds-book/blob/master/LICENSE.md).\n",
+    "**License**: The code in this notebook is licensed under the MIT License. The Environmental Data Science book is licensed under the Creative Commons by Attribution 4.0 license. See further details [here](https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/blob/main/LICENSE).\n",
     "\n",
     "**Contact**: If you have any suggestion or report an issue with this notebook, feel free to [create an issue](https://github.com/alan-turing-institute/environmental-ds-book/issues/new/choose) or send a direct message to [environmental.ds.book@gmail.com](mailto:environmental.ds.book@gmail.com)."
    ]

From 2e8ec67db88eeda2c15ceda6befb240f2a1e0506 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Wed, 26 Jun 2024 10:49:18 +0100
Subject: [PATCH 065/141] Update polar hole mention to be unobserved

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 8fbba14..0d04931 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -224,7 +224,7 @@
    "source": [
     "### Masked regions\n",
     "\n",
-    "We start here with generating the masks for training/prediction. This includes regions where sea ice does not form, land regions, and the [polar hole](https://blogs.egu.eu/divisions/cr/2016/10/14/image-of-the-week-the-polar-hole/).\n",
+    "We start here with generating the masks for training/prediction. This includes regions where sea ice does not form such as land regions, and also, the unobserved [polar hole](https://blogs.egu.eu/divisions/cr/2016/10/14/image-of-the-week-the-polar-hole/) region.\n",
     "\n",
     ":::note\n",
     "This data downloaded from OSI SAF over an FTP server which is blocked and not accessible via Binder, hence, the final datafile that the next cell would output for these range of dates is included in the repository.\n",

From e21a67c9f29163d19e1817ab55119bc2b5f05ed6 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Wed, 26 Jun 2024 11:17:17 +0100
Subject: [PATCH 066/141] Update conda env packages from pip to conda-forge

---
 .binder/environment.yml | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/.binder/environment.yml b/.binder/environment.yml
index 8e0483b..1b84361 100644
--- a/.binder/environment.yml
+++ b/.binder/environment.yml
@@ -4,16 +4,16 @@ channels:
   - nodefaults
 dependencies:
   - cf-units
+  - copernicusmarine
+  - ipykernel
+  - jupyterlab
   - libnetcdf
+  - nbdime
   - netcdf4=1.6.0
+  - notebook
   - pip
   - python<3.12
   - "tensorflow<2.16=cpu*"
   - pip:
       - ecmwflibs
       - icenet @ git+https://github.com/icenet-ai/icenet@32558347fa8459a4414b5f30af16b04540ba9101
-      - ipykernel
-      - jupyterlab
-      - nbdime
-      - notebook
-      - copernicusmarine

From 4c541ebcc785de866f9c14b86eda89b9564c3963 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Wed, 26 Jun 2024 11:54:28 +0100
Subject: [PATCH 067/141] Prepare for v1.0.0 release, move files, update icenet
 dependency

---
 .binder/environment.yml                       |    2 +-
 notebook.ipynb                                | 6481 +++++++++--------
 .../predict/good_forecast.nc                  |  Bin
 3 files changed, 3327 insertions(+), 3156 deletions(-)
 rename good_forecast.nc => results/predict/good_forecast.nc (100%)

diff --git a/.binder/environment.yml b/.binder/environment.yml
index 1b84361..fcec8da 100644
--- a/.binder/environment.yml
+++ b/.binder/environment.yml
@@ -16,4 +16,4 @@ dependencies:
   - "tensorflow<2.16=cpu*"
   - pip:
       - ecmwflibs
-      - icenet @ git+https://github.com/icenet-ai/icenet@32558347fa8459a4414b5f30af16b04540ba9101
+      - icenet @ git+https://github.com/icenet-ai/icenet@0bac48fbc6447d937498b2c7240a2bd946430700
diff --git a/notebook.ipynb b/notebook.ipynb
index 0d04931..1d45441 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -153,7 +153,6 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "import random\n",
     "import warnings\n",
     "warnings.filterwarnings(action='ignore')\n",
     "\n",
@@ -777,7 +776,7 @@
      "output_type": "stream",
      "text": [
       "INFO:root:Dashboard at localhost:8888\n",
-      "INFO:root:Using dask client <Client: 'tcp://127.0.0.1:40683' processes=1 threads=1, memory=503.20 GiB>\n",
+      "INFO:root:Using dask client <Client: 'tcp://127.0.0.1:37289' processes=1 threads=1, memory=503.20 GiB>\n",
       "INFO:root:4 train dates to process, generating cache data.\n",
       "INFO:root:Finished output ./network_datasets/api_dataset/south/train/00000000.tfrecord\n",
       "INFO:root:Finished output ./network_datasets/api_dataset/south/train/00000001.tfrecord\n",
@@ -791,7 +790,7 @@
       "INFO:root:2 test dates to process, generating cache data.\n",
       "INFO:root:Finished output ./network_datasets/api_dataset/south/test/00000000.tfrecord\n",
       "INFO:root:Finished output ./network_datasets/api_dataset/south/test/00000001.tfrecord\n",
-      "INFO:root:Average sample generation time: 1.4531014680862426\n",
+      "INFO:root:Average sample generation time: 1.6465776205062865\n",
       "INFO:root:Writing configuration to ./dataset_config.api_dataset.json\n"
      ]
     },
@@ -799,8 +798,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 2.37 s, sys: 282 ms, total: 2.65 s\n",
-      "Wall time: 13.5 s\n"
+      "CPU times: user 2.68 s, sys: 383 ms, total: 3.07 s\n",
+      "Wall time: 14.9 s\n"
      ]
     }
    ],
@@ -872,7 +871,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "[07-06-24 18:22:55 :WARNING ] - PyTorch not found - not required if not using PyTorch\n",
+      "[26-06-24 12:23:44 :WARNING ] - PyTorch not found - not required if not using PyTorch\n",
       "INFO:root:Loading configuration dataset_config.api_dataset.json\n",
       "INFO:root:Training dataset path: ./network_datasets/api_dataset/south/train\n",
       "INFO:root:Validation dataset path: ./network_datasets/api_dataset/south/val\n",
@@ -954,7 +953,7 @@
     {
      "data": {
       "text/plain": [
-       "<icenet.data.loaders.dask.DaskMultiWorkerLoader at 0x7f3728768880>"
+       "<icenet.data.loaders.dask.DaskMultiWorkerLoader at 0x7f33e416ed10>"
       ]
      },
      "execution_count": 17,
@@ -1128,8 +1127,8 @@
      "text": [
       "Epoch 1/3\n",
       "\n",
-      "Epoch 1: val_rmse improved from inf to 45.12590, saving model to ./results/networks/api_test_run/api_test_run.network_api_dataset.42.h5\n",
-      "4/4 - 6s - loss: 379.8746 - binacc: 28.7012 - mae: 43.4746 - rmse: 45.7114 - mse: 2462.1489 - val_loss: 370.2051 - val_binacc: 32.3950 - val_mae: 43.3717 - val_rmse: 45.1259 - val_mse: 2436.1155 - lr: 1.0000e-04 - 6s/epoch - 2s/step\n"
+      "Epoch 1: val_rmse improved from inf to 44.89307, saving model to ./results/networks/api_test_run/api_test_run.network_api_dataset.42.h5\n",
+      "4/4 - 7s - loss: 366.1647 - binacc: 26.3217 - mae: 41.4743 - rmse: 44.8790 - mse: 2131.8828 - val_loss: 366.3950 - val_binacc: 32.3950 - val_mae: 43.3227 - val_rmse: 44.8931 - val_mse: 2337.3613 - lr: 1.0000e-04 - 7s/epoch - 2s/step\n"
      ]
     },
     {
@@ -1147,8 +1146,8 @@
      "text": [
       "Epoch 2/3\n",
       "\n",
-      "Epoch 2: val_rmse improved from 45.12590 to 45.11269, saving model to ./results/networks/api_test_run/api_test_run.network_api_dataset.42.h5\n",
-      "4/4 - 2s - loss: 378.9341 - binacc: 28.7042 - mae: 43.4341 - rmse: 45.6548 - mse: 2458.3232 - val_loss: 369.9885 - val_binacc: 32.3950 - val_mae: 43.3613 - val_rmse: 45.1127 - val_mse: 2434.0029 - lr: 1.0000e-04 - 2s/epoch - 379ms/step\n"
+      "Epoch 2: val_rmse improved from 44.89307 to 44.88022, saving model to ./results/networks/api_test_run/api_test_run.network_api_dataset.42.h5\n",
+      "4/4 - 2s - loss: 356.0443 - binacc: 26.7349 - mae: 40.7980 - rmse: 44.2544 - mse: 2105.3875 - val_loss: 366.1852 - val_binacc: 32.3950 - val_mae: 43.3102 - val_rmse: 44.8802 - val_mse: 2335.5542 - lr: 1.0000e-04 - 2s/epoch - 393ms/step\n"
      ]
     },
     {
@@ -1166,8 +1165,8 @@
      "text": [
       "Epoch 3/3\n",
       "\n",
-      "Epoch 3: val_rmse improved from 45.11269 to 45.09289, saving model to ./results/networks/api_test_run/api_test_run.network_api_dataset.42.h5\n",
-      "4/4 - 2s - loss: 378.1672 - binacc: 28.7121 - mae: 43.4013 - rmse: 45.6086 - mse: 2454.6501 - val_loss: 369.6639 - val_binacc: 32.3950 - val_mae: 43.3445 - val_rmse: 45.0929 - val_mse: 2430.7739 - lr: 1.0000e-04 - 2s/epoch - 407ms/step\n"
+      "Epoch 3: val_rmse improved from 44.88022 to 44.85600, saving model to ./results/networks/api_test_run/api_test_run.network_api_dataset.42.h5\n",
+      "4/4 - 2s - loss: 345.2136 - binacc: 27.1157 - mae: 40.0415 - rmse: 43.5761 - mse: 2077.3376 - val_loss: 365.7901 - val_binacc: 32.3950 - val_mae: 43.2886 - val_rmse: 44.8560 - val_mse: 2331.9070 - lr: 1.0000e-04 - 2s/epoch - 397ms/step\n"
      ]
     },
     {
@@ -1196,8 +1195,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 24.6 s, sys: 2.82 s, total: 27.4 s\n",
-      "Wall time: 14.2 s\n"
+      "CPU times: user 26.1 s, sys: 2.72 s, total: 28.8 s\n",
+      "Wall time: 15.1 s\n"
      ]
     }
    ],
@@ -1269,8 +1268,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 1.5 s, sys: 177 ms, total: 1.68 s\n",
-      "Wall time: 1.05 s\n"
+      "CPU times: user 1.8 s, sys: 291 ms, total: 2.1 s\n",
+      "Wall time: 1.25 s\n"
      ]
     }
    ],
@@ -1342,18 +1341,18 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[07-06-24 18:23:13 :WARNING ] - PyTorch not found - not required if not using PyTorch\n",
-      "[07-06-24 18:23:13 :INFO    ] - Loading configuration ./dataset_config.api_dataset.json\n",
-      "[07-06-24 18:23:13 :INFO    ] - Training dataset path: ./network_datasets/api_dataset/south/train\n",
-      "[07-06-24 18:23:13 :INFO    ] - Validation dataset path: ./network_datasets/api_dataset/south/val\n",
-      "[07-06-24 18:23:13 :INFO    ] - Test dataset path: ./network_datasets/api_dataset/south/test\n",
-      "[07-06-24 18:23:14 :INFO    ] - Post-processing 2020-04-01\n",
-      "[07-06-24 18:23:14 :INFO    ] - Post-processing 2020-04-02\n",
-      "[07-06-24 18:23:14 :INFO    ] - Dataset arr shape: (2, 432, 432, 3, 2)\n",
-      "[07-06-24 18:23:14 :INFO    ] - Applying active grid cell masks\n",
-      "[07-06-24 18:23:14 :INFO    ] - Land masking the forecast output\n",
-      "[07-06-24 18:23:14 :INFO    ] - Applying zeros to land mask\n",
-      "[07-06-24 18:23:14 :INFO    ] - Saving to ./results/predict/custom_run_forecast.nc\n"
+      "[26-06-24 12:24:05 :WARNING ] - PyTorch not found - not required if not using PyTorch\n",
+      "[26-06-24 12:24:05 :INFO    ] - Loading configuration ./dataset_config.api_dataset.json\n",
+      "[26-06-24 12:24:05 :INFO    ] - Training dataset path: ./network_datasets/api_dataset/south/train\n",
+      "[26-06-24 12:24:05 :INFO    ] - Validation dataset path: ./network_datasets/api_dataset/south/val\n",
+      "[26-06-24 12:24:05 :INFO    ] - Test dataset path: ./network_datasets/api_dataset/south/test\n",
+      "[26-06-24 12:24:05 :INFO    ] - Post-processing 2020-04-01\n",
+      "[26-06-24 12:24:05 :INFO    ] - Post-processing 2020-04-02\n",
+      "[26-06-24 12:24:06 :INFO    ] - Dataset arr shape: (2, 432, 432, 3, 2)\n",
+      "[26-06-24 12:24:06 :INFO    ] - Applying active grid cell masks\n",
+      "[26-06-24 12:24:06 :INFO    ] - Land masking the forecast output\n",
+      "[26-06-24 12:24:06 :INFO    ] - Applying zeros to land mask\n",
+      "[26-06-24 12:24:06 :INFO    ] - Saving to ./results/predict/custom_run_forecast.nc\n"
      ]
     }
    ],
@@ -1648,42 +1647,42 @@
        "</style>\n",
        "\n",
        "<div class=\"animation\">\n",
-       "  <img id=\"_anim_img22f9ae600559406099ea53b8d0aa2364\">\n",
+       "  <img id=\"_anim_imgea0158e5845d40f1905b1f2511da58b9\">\n",
        "  <div class=\"anim-controls\">\n",
-       "    <input id=\"_anim_slider22f9ae600559406099ea53b8d0aa2364\" type=\"range\" class=\"anim-slider\"\n",
+       "    <input id=\"_anim_sliderea0158e5845d40f1905b1f2511da58b9\" type=\"range\" class=\"anim-slider\"\n",
        "           name=\"points\" min=\"0\" max=\"1\" step=\"1\" value=\"0\"\n",
-       "           oninput=\"anim22f9ae600559406099ea53b8d0aa2364.set_frame(parseInt(this.value));\">\n",
+       "           oninput=\"animea0158e5845d40f1905b1f2511da58b9.set_frame(parseInt(this.value));\">\n",
        "    <div class=\"anim-buttons\">\n",
-       "      <button title=\"Decrease speed\" aria-label=\"Decrease speed\" onclick=\"anim22f9ae600559406099ea53b8d0aa2364.slower()\">\n",
+       "      <button title=\"Decrease speed\" aria-label=\"Decrease speed\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.slower()\">\n",
        "          <i class=\"fa fa-minus\"></i></button>\n",
-       "      <button title=\"First frame\" aria-label=\"First frame\" onclick=\"anim22f9ae600559406099ea53b8d0aa2364.first_frame()\">\n",
+       "      <button title=\"First frame\" aria-label=\"First frame\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.first_frame()\">\n",
        "        <i class=\"fa fa-fast-backward\"></i></button>\n",
-       "      <button title=\"Previous frame\" aria-label=\"Previous frame\" onclick=\"anim22f9ae600559406099ea53b8d0aa2364.previous_frame()\">\n",
+       "      <button title=\"Previous frame\" aria-label=\"Previous frame\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.previous_frame()\">\n",
        "          <i class=\"fa fa-step-backward\"></i></button>\n",
-       "      <button title=\"Play backwards\" aria-label=\"Play backwards\" onclick=\"anim22f9ae600559406099ea53b8d0aa2364.reverse_animation()\">\n",
+       "      <button title=\"Play backwards\" aria-label=\"Play backwards\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.reverse_animation()\">\n",
        "          <i class=\"fa fa-play fa-flip-horizontal\"></i></button>\n",
-       "      <button title=\"Pause\" aria-label=\"Pause\" onclick=\"anim22f9ae600559406099ea53b8d0aa2364.pause_animation()\">\n",
+       "      <button title=\"Pause\" aria-label=\"Pause\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.pause_animation()\">\n",
        "          <i class=\"fa fa-pause\"></i></button>\n",
-       "      <button title=\"Play\" aria-label=\"Play\" onclick=\"anim22f9ae600559406099ea53b8d0aa2364.play_animation()\">\n",
+       "      <button title=\"Play\" aria-label=\"Play\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.play_animation()\">\n",
        "          <i class=\"fa fa-play\"></i></button>\n",
-       "      <button title=\"Next frame\" aria-label=\"Next frame\" onclick=\"anim22f9ae600559406099ea53b8d0aa2364.next_frame()\">\n",
+       "      <button title=\"Next frame\" aria-label=\"Next frame\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.next_frame()\">\n",
        "          <i class=\"fa fa-step-forward\"></i></button>\n",
-       "      <button title=\"Last frame\" aria-label=\"Last frame\" onclick=\"anim22f9ae600559406099ea53b8d0aa2364.last_frame()\">\n",
+       "      <button title=\"Last frame\" aria-label=\"Last frame\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.last_frame()\">\n",
        "          <i class=\"fa fa-fast-forward\"></i></button>\n",
-       "      <button title=\"Increase speed\" aria-label=\"Increase speed\" onclick=\"anim22f9ae600559406099ea53b8d0aa2364.faster()\">\n",
+       "      <button title=\"Increase speed\" aria-label=\"Increase speed\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.faster()\">\n",
        "          <i class=\"fa fa-plus\"></i></button>\n",
        "    </div>\n",
-       "    <form title=\"Repetition mode\" aria-label=\"Repetition mode\" action=\"#n\" name=\"_anim_loop_select22f9ae600559406099ea53b8d0aa2364\"\n",
+       "    <form title=\"Repetition mode\" aria-label=\"Repetition mode\" action=\"#n\" name=\"_anim_loop_selectea0158e5845d40f1905b1f2511da58b9\"\n",
        "          class=\"anim-state\">\n",
-       "      <input type=\"radio\" name=\"state\" value=\"once\" id=\"_anim_radio1_22f9ae600559406099ea53b8d0aa2364\"\n",
+       "      <input type=\"radio\" name=\"state\" value=\"once\" id=\"_anim_radio1_ea0158e5845d40f1905b1f2511da58b9\"\n",
        "             >\n",
-       "      <label for=\"_anim_radio1_22f9ae600559406099ea53b8d0aa2364\">Once</label>\n",
-       "      <input type=\"radio\" name=\"state\" value=\"loop\" id=\"_anim_radio2_22f9ae600559406099ea53b8d0aa2364\"\n",
+       "      <label for=\"_anim_radio1_ea0158e5845d40f1905b1f2511da58b9\">Once</label>\n",
+       "      <input type=\"radio\" name=\"state\" value=\"loop\" id=\"_anim_radio2_ea0158e5845d40f1905b1f2511da58b9\"\n",
        "             checked>\n",
-       "      <label for=\"_anim_radio2_22f9ae600559406099ea53b8d0aa2364\">Loop</label>\n",
-       "      <input type=\"radio\" name=\"state\" value=\"reflect\" id=\"_anim_radio3_22f9ae600559406099ea53b8d0aa2364\"\n",
+       "      <label for=\"_anim_radio2_ea0158e5845d40f1905b1f2511da58b9\">Loop</label>\n",
+       "      <input type=\"radio\" name=\"state\" value=\"reflect\" id=\"_anim_radio3_ea0158e5845d40f1905b1f2511da58b9\"\n",
        "             >\n",
-       "      <label for=\"_anim_radio3_22f9ae600559406099ea53b8d0aa2364\">Reflect</label>\n",
+       "      <label for=\"_anim_radio3_ea0158e5845d40f1905b1f2511da58b9\">Reflect</label>\n",
        "    </form>\n",
        "  </div>\n",
        "</div>\n",
@@ -1693,3103 +1692,3275 @@
        "  /* Instantiate the Animation class. */\n",
        "  /* The IDs given should match those used in the template above. */\n",
        "  (function() {\n",
-       "    var img_id = \"_anim_img22f9ae600559406099ea53b8d0aa2364\";\n",
-       "    var slider_id = \"_anim_slider22f9ae600559406099ea53b8d0aa2364\";\n",
-       "    var loop_select_id = \"_anim_loop_select22f9ae600559406099ea53b8d0aa2364\";\n",
+       "    var img_id = \"_anim_imgea0158e5845d40f1905b1f2511da58b9\";\n",
+       "    var slider_id = \"_anim_sliderea0158e5845d40f1905b1f2511da58b9\";\n",
+       "    var loop_select_id = \"_anim_loop_selectea0158e5845d40f1905b1f2511da58b9\";\n",
        "    var frames = new Array(3);\n",
        "    \n",
        "  frames[0] = \"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAJYCAYAAAC+ZpjcAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\\\n",
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+       "A3vWYGNjo+f+hoYGAEaOHOm5v7euNdBIkrsQQggh4lZQUADAsWPeyyrZ2ydPntyn1xpoJMASQggh\\\n",
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+       "7drFu+++y8KFCzu9VmVlJZMmTSIQCFBeXk5ubm5kX0tLC/n5+Zw5c4aKioqofYOB9GAJIYQQIm7J\\\n",
+       "ycncfvvtANx2222RPCmAhx9+mF27drF8+fKo4Grt2rXMmjWLe+65J+pa48eP5zOf+Qytra3ceuut\\\n",
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+       "PVhCCCGE6JbU1FRef/11/vVf/5URI0awbt06ysrKuPHGG9m+fTvTpk2L+1rZ2dm888473HHHHbS2\\\n",
+       "tvLCCy9QW1vL1772Nd555x3GjBnTi6+k90gOlhBCCCGEz6QHSwghhBDCZxJgCSGEEEL4TAIsIYQQ\\\n",
+       "QgifSYAlhBBCCOEzCbCEEEIIIXwmAZYQQgghhM8kwBJCCCGE8JkEWEIIIYQQPpMASwghhBDCZxJg\\\n",
+       "CSGEEEL4TAIsIYQQQgifSYAlhBBCCOEzCbCEEEIIIXwmAZYQQgghhM8kwBJCCCGE8JkEWEIIIYQQ\\\n",
+       "PpMASwghhBDCZxJgCSGEEEL4TAIsIYQQQgifSYAlhBBCCOEzCbCEEEIIIXwmAZYQQgghhM8kwBJC\\\n",
+       "CCGE8JkEWEIIIYQQPpMASwghhBDCZxJgCSGEEEL4TAIsIYQQQgifSYAlhBBCCOEzCbCEEEIIIXwm\\\n",
+       "AZYQQgghhM8kwBJCCCGE8JkEWEIIIYQQPpMASwghhBDCZxJgCSGEEEL4TAIsIYQQQgifSYAlhBBC\\\n",
+       "COEzCbCEEEIIIXwmAZYQQgghhM8kwBJCCCGE8JkEWEIIIYQQPpMASwghhBDCZxJgCSGEEEL4TAIs\\\n",
+       "IYQQQgifSYAlhBBCCOEzCbCEEEIIIXwmAZYQQgghhM8kwBJCCCGE8JkEWEIIIYQQPpMASwghhBDC\\\n",
+       "ZxJgCSGEEEL4TAIsIYQQQgifSYAlhBBCCOEzCbCEEEIIIXwmAZYQQgghhM8kwBJCCCGE8JkEWEII\\\n",
+       "IYQQPpMASwghhBDCZxJgCSGEEEL4TAIsIYQQQgifSYAlhBBCCOEzCbCEEEIIIXwmAZYQQgghhM8k\\\n",
+       "wBJCCCGE8JkEWEIIIYQQPpMASwghhBDCZxJgCSGEEEL4TAIsIYQQQgifSYAlhBBCCOEzCbCEEEII\\\n",
+       "IXwmAZYQQgghhM8kwBJCCCGE8JkEWEIIIYQQPpMASwghhBDCZxJgCSGEEEL4TAIsIYQQQgifSYAl\\\n",
+       "hBBCCOEzCbCEEEIIIXwmAZYQQgghhM8kwBJCCCGE8JkEWEIIIYQQPpMASwghhBDCZxJgCSGEEEL4\\\n",
+       "TAIsIYQQQgifSYAlhBBCCOGz/x/Vu4PVwlWjTAAAAABJRU5ErkJggg==\\\n",
        "\"\n",
        "\n",
        "\n",
        "    /* set a timeout to make sure all the above elements are created before\n",
        "       the object is initialized. */\n",
        "    setTimeout(function() {\n",
-       "        anim22f9ae600559406099ea53b8d0aa2364 = new Animation(frames, img_id, slider_id, 66.0,\n",
+       "        animea0158e5845d40f1905b1f2511da58b9 = new Animation(frames, img_id, slider_id, 66.0,\n",
        "                                 loop_select_id);\n",
        "    }, 0);\n",
        "  })()\n",
@@ -5077,42 +5248,42 @@
        "</style>\n",
        "\n",
        "<div class=\"animation\">\n",
-       "  <img id=\"_anim_imgf064ae8d31f947f39f19f20487712106\">\n",
+       "  <img id=\"_anim_img142793516d974016a2bcb7012c0fb64e\">\n",
        "  <div class=\"anim-controls\">\n",
-       "    <input id=\"_anim_sliderf064ae8d31f947f39f19f20487712106\" type=\"range\" class=\"anim-slider\"\n",
+       "    <input id=\"_anim_slider142793516d974016a2bcb7012c0fb64e\" type=\"range\" class=\"anim-slider\"\n",
        "           name=\"points\" min=\"0\" max=\"1\" step=\"1\" value=\"0\"\n",
-       "           oninput=\"animf064ae8d31f947f39f19f20487712106.set_frame(parseInt(this.value));\">\n",
+       "           oninput=\"anim142793516d974016a2bcb7012c0fb64e.set_frame(parseInt(this.value));\">\n",
        "    <div class=\"anim-buttons\">\n",
-       "      <button title=\"Decrease speed\" aria-label=\"Decrease speed\" onclick=\"animf064ae8d31f947f39f19f20487712106.slower()\">\n",
+       "      <button title=\"Decrease speed\" aria-label=\"Decrease speed\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.slower()\">\n",
        "          <i class=\"fa fa-minus\"></i></button>\n",
-       "      <button title=\"First frame\" aria-label=\"First frame\" onclick=\"animf064ae8d31f947f39f19f20487712106.first_frame()\">\n",
+       "      <button title=\"First frame\" aria-label=\"First frame\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.first_frame()\">\n",
        "        <i class=\"fa fa-fast-backward\"></i></button>\n",
-       "      <button title=\"Previous frame\" aria-label=\"Previous frame\" onclick=\"animf064ae8d31f947f39f19f20487712106.previous_frame()\">\n",
+       "      <button title=\"Previous frame\" aria-label=\"Previous frame\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.previous_frame()\">\n",
        "          <i class=\"fa fa-step-backward\"></i></button>\n",
-       "      <button title=\"Play backwards\" aria-label=\"Play backwards\" onclick=\"animf064ae8d31f947f39f19f20487712106.reverse_animation()\">\n",
+       "      <button title=\"Play backwards\" aria-label=\"Play backwards\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.reverse_animation()\">\n",
        "          <i class=\"fa fa-play fa-flip-horizontal\"></i></button>\n",
-       "      <button title=\"Pause\" aria-label=\"Pause\" onclick=\"animf064ae8d31f947f39f19f20487712106.pause_animation()\">\n",
+       "      <button title=\"Pause\" aria-label=\"Pause\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.pause_animation()\">\n",
        "          <i class=\"fa fa-pause\"></i></button>\n",
-       "      <button title=\"Play\" aria-label=\"Play\" onclick=\"animf064ae8d31f947f39f19f20487712106.play_animation()\">\n",
+       "      <button title=\"Play\" aria-label=\"Play\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.play_animation()\">\n",
        "          <i class=\"fa fa-play\"></i></button>\n",
-       "      <button title=\"Next frame\" aria-label=\"Next frame\" onclick=\"animf064ae8d31f947f39f19f20487712106.next_frame()\">\n",
+       "      <button title=\"Next frame\" aria-label=\"Next frame\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.next_frame()\">\n",
        "          <i class=\"fa fa-step-forward\"></i></button>\n",
-       "      <button title=\"Last frame\" aria-label=\"Last frame\" onclick=\"animf064ae8d31f947f39f19f20487712106.last_frame()\">\n",
+       "      <button title=\"Last frame\" aria-label=\"Last frame\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.last_frame()\">\n",
        "          <i class=\"fa fa-fast-forward\"></i></button>\n",
-       "      <button title=\"Increase speed\" aria-label=\"Increase speed\" onclick=\"animf064ae8d31f947f39f19f20487712106.faster()\">\n",
+       "      <button title=\"Increase speed\" aria-label=\"Increase speed\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.faster()\">\n",
        "          <i class=\"fa fa-plus\"></i></button>\n",
        "    </div>\n",
-       "    <form title=\"Repetition mode\" aria-label=\"Repetition mode\" action=\"#n\" name=\"_anim_loop_selectf064ae8d31f947f39f19f20487712106\"\n",
+       "    <form title=\"Repetition mode\" aria-label=\"Repetition mode\" action=\"#n\" name=\"_anim_loop_select142793516d974016a2bcb7012c0fb64e\"\n",
        "          class=\"anim-state\">\n",
-       "      <input type=\"radio\" name=\"state\" value=\"once\" id=\"_anim_radio1_f064ae8d31f947f39f19f20487712106\"\n",
+       "      <input type=\"radio\" name=\"state\" value=\"once\" id=\"_anim_radio1_142793516d974016a2bcb7012c0fb64e\"\n",
        "             >\n",
-       "      <label for=\"_anim_radio1_f064ae8d31f947f39f19f20487712106\">Once</label>\n",
-       "      <input type=\"radio\" name=\"state\" value=\"loop\" id=\"_anim_radio2_f064ae8d31f947f39f19f20487712106\"\n",
+       "      <label for=\"_anim_radio1_142793516d974016a2bcb7012c0fb64e\">Once</label>\n",
+       "      <input type=\"radio\" name=\"state\" value=\"loop\" id=\"_anim_radio2_142793516d974016a2bcb7012c0fb64e\"\n",
        "             checked>\n",
-       "      <label for=\"_anim_radio2_f064ae8d31f947f39f19f20487712106\">Loop</label>\n",
-       "      <input type=\"radio\" name=\"state\" value=\"reflect\" id=\"_anim_radio3_f064ae8d31f947f39f19f20487712106\"\n",
+       "      <label for=\"_anim_radio2_142793516d974016a2bcb7012c0fb64e\">Loop</label>\n",
+       "      <input type=\"radio\" name=\"state\" value=\"reflect\" id=\"_anim_radio3_142793516d974016a2bcb7012c0fb64e\"\n",
        "             >\n",
-       "      <label for=\"_anim_radio3_f064ae8d31f947f39f19f20487712106\">Reflect</label>\n",
+       "      <label for=\"_anim_radio3_142793516d974016a2bcb7012c0fb64e\">Reflect</label>\n",
        "    </form>\n",
        "  </div>\n",
        "</div>\n",
@@ -5122,9 +5293,9 @@
        "  /* Instantiate the Animation class. */\n",
        "  /* The IDs given should match those used in the template above. */\n",
        "  (function() {\n",
-       "    var img_id = \"_anim_imgf064ae8d31f947f39f19f20487712106\";\n",
-       "    var slider_id = \"_anim_sliderf064ae8d31f947f39f19f20487712106\";\n",
-       "    var loop_select_id = \"_anim_loop_selectf064ae8d31f947f39f19f20487712106\";\n",
+       "    var img_id = \"_anim_img142793516d974016a2bcb7012c0fb64e\";\n",
+       "    var slider_id = \"_anim_slider142793516d974016a2bcb7012c0fb64e\";\n",
+       "    var loop_select_id = \"_anim_loop_select142793516d974016a2bcb7012c0fb64e\";\n",
        "    var frames = new Array(3);\n",
        "    \n",
        "  frames[0] = \"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAJYCAYAAAC+ZpjcAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\\\n",
@@ -8005,7 +8176,7 @@
        "    /* set a timeout to make sure all the above elements are created before\n",
        "       the object is initialized. */\n",
        "    setTimeout(function() {\n",
-       "        animf064ae8d31f947f39f19f20487712106 = new Animation(frames, img_id, slider_id, 66.0,\n",
+       "        anim142793516d974016a2bcb7012c0fb64e = new Animation(frames, img_id, slider_id, 66.0,\n",
        "                                 loop_select_id);\n",
        "    }, 0);\n",
        "  })()\n",
@@ -8020,7 +8191,7 @@
     }
    ],
    "source": [
-    "plot_result(\"good_forecast.nc\")"
+    "plot_result(\"results/predict/good_forecast.nc\")"
    ]
   },
   {
@@ -8069,7 +8240,7 @@
    "metadata": {},
    "source": [
     "## Additional information\n",
-    "**Codebase**: [IceNet v0.2.9a1](https://github.com/icenet-ai/icenet/tree/32558347fa8459a4414b5f30af16b04540ba9101).\n",
+    "**Codebase**: [IceNet v0.2.9a1](https://github.com/icenet-ai/icenet/tree/0bac48fbc6447d937498b2c7240a2bd946430700).\n",
     "\n",
     "**License**: The code in this notebook is licensed under the MIT License. The Environmental Data Science book is licensed under the Creative Commons by Attribution 4.0 license. See further details [here](https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/blob/main/LICENSE).\n",
     "\n",
@@ -8106,7 +8277,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Last tested: 2024-06-07\n"
+      "Last tested: 2024-06-26\n"
      ]
     }
    ],
diff --git a/good_forecast.nc b/results/predict/good_forecast.nc
similarity index 100%
rename from good_forecast.nc
rename to results/predict/good_forecast.nc

From d5d9b02a740abff6bdbfcbd08fecca9af9c3a9d3 Mon Sep 17 00:00:00 2001
From: "Bryn N. Ubald" <55503826+bnubald@users.noreply.github.com>
Date: Wed, 26 Jun 2024 13:50:03 +0100
Subject: [PATCH 068/141] Update CITATION.cff for v1.0.0

---
 CITATION.cff | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/CITATION.cff b/CITATION.cff
index bb46281..b1dc851 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -45,6 +45,6 @@ keywords:
   - unet
   - deep learning
 license: MIT
-commit: TBC
-version: TBC
-date-released: "2024-05-02"
+commit: "4c541eb"
+version: "1.0.0"
+date-released: "2024-06-26"

From 26e9fc527445d14910bb4bfa588ccf9ddb831187 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Fri, 28 Jun 2024 17:32:25 +0100
Subject: [PATCH 069/141] remove review cell and notebook outputs

---
 notebook.ipynb | 7349 +-----------------------------------------------
 1 file changed, 78 insertions(+), 7271 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 1d45441..0e22799 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -1,14 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": false
-   },
-   "source": [
-    "<div class=\"alert alert-block alert-warning\"> <b>Authors and Reviewers</b>. This is the notebook version for review. We will remove this markdown cell after the peer-review. </div>"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -146,11 +137,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [],
    "source": [
     "import os\n",
     "import warnings\n",
@@ -171,7 +160,9 @@
     "logging.getLogger('icenet').setLevel(logging.INFO)\n",
     "logging.getLogger('dask').setLevel(logging.ERROR)\n",
     "logging.getLogger('distributed').setLevel(logging.ERROR)"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -182,30 +173,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
    "metadata": {},
-   "outputs": [],
    "source": [
     "from icenet.data.sic.mask import Masks\n",
     "from icenet.data.sic.osisaf import SICDownloader"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "env: PYTHONWARNINGS=ignore\n"
-     ]
-    }
-   ],
    "source": [
     "%env PYTHONWARNINGS=ignore"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -234,32 +217,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_01.npy, already exists\n",
-      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_02.npy, already exists\n",
-      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_03.npy, already exists\n",
-      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_04.npy, already exists\n",
-      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_05.npy, already exists\n",
-      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_06.npy, already exists\n",
-      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_07.npy, already exists\n",
-      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_08.npy, already exists\n",
-      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_09.npy, already exists\n",
-      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_10.npy, already exists\n",
-      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_11.npy, already exists\n",
-      "INFO:root:Skipping ./data/masks/south/masks/active_grid_cell_mask_12.npy, already exists\n"
-     ]
-    }
-   ],
    "source": [
     "masks = Masks(north=False, south=True)\n",
     "masks.generate(save_polarhole_masks=False)"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -449,20 +413,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:Downloading SIC datafiles to .temp intermediates...\n",
-      "INFO:root:Excluding 121 dates already existing from 121 dates requested.\n",
-      "INFO:root:Opening for interpolation: ['./data/osisaf/south/siconca/2020.nc']\n",
-      "INFO:root:Processing 0 missing dates\n"
-     ]
-    }
-   ],
    "source": [
     "sic = SICDownloader(\n",
     "    dates=[\n",
@@ -476,7 +427,9 @@
     ")\n",
     "\n",
     "sic.download()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -527,9 +480,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
    "source": [
     "processing_dates = dict(\n",
     "    train=[pd.to_datetime(el) for el in pd.date_range(\"2020-01-01\", \"2020-01-04\")],\n",
@@ -537,7 +488,9 @@
     "    test=[pd.to_datetime(el) for el in pd.date_range(\"2020-04-01\", \"2020-04-02\")],\n",
     ")\n",
     "processed_name = \"notebook_api_data\""
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -555,20 +508,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
    "metadata": {},
-   "outputs": [],
    "source": [
     "from icenet.data.processors.era5 import IceNetERA5PreProcessor # Unused in this demonstrator notebook\n",
     "from icenet.data.processors.meta import IceNetMetaPreProcessor\n",
     "from icenet.data.processors.osi import IceNetOSIPreProcessor"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
    "source": [
     "osi = IceNetOSIPreProcessor(\n",
     "    [\"siconca\"],                # Absolute normalised variables\n",
@@ -587,7 +538,9 @@
     "    north=False,\n",
     "    south=True,\n",
     ")"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -621,34 +574,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:Processing 4 dates for train category\n",
-      "INFO:root:Including lag of 1 days\n",
-      "INFO:root:Including lead of 93 days\n",
-      "INFO:root:No data found for 2019-12-31, outside data boundary perhaps?\n",
-      "INFO:root:Processing 4 dates for val category\n",
-      "INFO:root:Including lag of 1 days\n",
-      "INFO:root:Including lead of 93 days\n",
-      "INFO:root:Processing 2 dates for test category\n",
-      "INFO:root:Including lag of 1 days\n",
-      "INFO:root:Including lead of 93 days\n",
-      "INFO:root:Got 1 files for siconca\n",
-      "INFO:root:Opening files for siconca\n",
-      "INFO:root:Filtered to 121 units long based on configuration requirements\n",
-      "INFO:root:No normalisation for siconca\n",
-      "INFO:root:Loading configuration ./loader.notebook_api_data.json\n",
-      "INFO:root:Writing configuration to ./loader.notebook_api_data.json\n",
-      "INFO:root:Loading configuration ./loader.notebook_api_data.json\n",
-      "INFO:root:Writing configuration to ./loader.notebook_api_data.json\n"
-     ]
-    }
-   ],
    "source": [
     "osi.init_source_data(\n",
     "    lag_days=1,\n",
@@ -656,7 +582,9 @@
     "osi.process()\n",
     "\n",
     "meta.process()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -676,17 +604,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:Loading configuration loader.notebook_api_data.json\n"
-     ]
-    }
-   ],
    "source": [
     "from icenet.data.loaders import IceNetDataLoaderFactory\n",
     "\n",
@@ -706,7 +624,9 @@
     "    output_batch_size=1,\n",
     "    generate_workers=1\n",
     ")"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -717,47 +637,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'sources': {'osisaf': {'name': 'notebook_api_data',\n",
-       "   'implementation': 'IceNetOSIPreProcessor',\n",
-       "   'anom': [],\n",
-       "   'abs': ['siconca'],\n",
-       "   'dates': {'train': ['2020_01_01', '2020_01_02', '2020_01_03', '2020_01_04'],\n",
-       "    'val': ['2020_04_03', '2020_04_04', '2020_04_05', '2020_04_06'],\n",
-       "    'test': ['2020_04_01', '2020_04_02']},\n",
-       "   'linear_trends': [],\n",
-       "   'linear_trend_steps': [1, 2, 3, 4, 5, 6, 7],\n",
-       "   'meta': [],\n",
-       "   'var_files': {'siconca': ['./processed/notebook_api_data/osisaf/south/siconca/siconca_abs.nc']}},\n",
-       "  'meta': {'name': 'notebook_api_data',\n",
-       "   'implementation': 'IceNetMetaPreProcessor',\n",
-       "   'anom': [],\n",
-       "   'abs': [],\n",
-       "   'dates': {'train': [], 'val': [], 'test': []},\n",
-       "   'linear_trends': [],\n",
-       "   'linear_trend_steps': [1, 2, 3, 4, 5, 6, 7],\n",
-       "   'meta': ['sin', 'cos', 'land'],\n",
-       "   'var_files': {'sin': ['./processed/notebook_api_data/meta/south/sin/sin.nc'],\n",
-       "    'cos': ['./processed/notebook_api_data/meta/south/cos/cos.nc'],\n",
-       "    'land': ['./processed/notebook_api_data/meta/south/land/land.nc']}}},\n",
-       " 'dtype': 'float32',\n",
-       " 'shape': [432, 432],\n",
-       " 'missing_dates': []}"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
    "source": [
     "dl._config"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -768,45 +653,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:Dashboard at localhost:8888\n",
-      "INFO:root:Using dask client <Client: 'tcp://127.0.0.1:37289' processes=1 threads=1, memory=503.20 GiB>\n",
-      "INFO:root:4 train dates to process, generating cache data.\n",
-      "INFO:root:Finished output ./network_datasets/api_dataset/south/train/00000000.tfrecord\n",
-      "INFO:root:Finished output ./network_datasets/api_dataset/south/train/00000001.tfrecord\n",
-      "INFO:root:Finished output ./network_datasets/api_dataset/south/train/00000002.tfrecord\n",
-      "INFO:root:Finished output ./network_datasets/api_dataset/south/train/00000003.tfrecord\n",
-      "INFO:root:4 val dates to process, generating cache data.\n",
-      "INFO:root:Finished output ./network_datasets/api_dataset/south/val/00000000.tfrecord\n",
-      "INFO:root:Finished output ./network_datasets/api_dataset/south/val/00000001.tfrecord\n",
-      "INFO:root:Finished output ./network_datasets/api_dataset/south/val/00000002.tfrecord\n",
-      "INFO:root:Finished output ./network_datasets/api_dataset/south/val/00000003.tfrecord\n",
-      "INFO:root:2 test dates to process, generating cache data.\n",
-      "INFO:root:Finished output ./network_datasets/api_dataset/south/test/00000000.tfrecord\n",
-      "INFO:root:Finished output ./network_datasets/api_dataset/south/test/00000001.tfrecord\n",
-      "INFO:root:Average sample generation time: 1.6465776205062865\n",
-      "INFO:root:Writing configuration to ./dataset_config.api_dataset.json\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "CPU times: user 2.68 s, sys: 383 ms, total: 3.07 s\n",
-      "Wall time: 14.9 s\n"
-     ]
-    }
-   ],
    "source": [
     "%%time\n",
     "dl.generate()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -817,33 +670,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
    "metadata": {},
-   "outputs": [],
    "source": [
     "x, y, sw = dl.generate_sample(pd.Timestamp(\"2020-04-01\"))"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "type(x): <class 'numpy.ndarray'>, x.shape: (432, 432, 4)\n",
-      "type(y): <class 'numpy.ndarray'>, y.shape: (432, 432, 3, 1)\n",
-      "type(sw): <class 'numpy.ndarray'>, sw.shape: (432, 432, 3, 1)\n"
-     ]
-    }
-   ],
    "source": [
     "print(f\"type(x): {type(x)}, x.shape: {x.shape}\")\n",
     "print(f\"type(y): {type(y)}, y.shape: {y.shape}\")\n",
     "print(f\"type(sw): {type(sw)}, sw.shape: {sw.shape}\")"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -864,28 +707,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "[26-06-24 12:23:44 :WARNING ] - PyTorch not found - not required if not using PyTorch\n",
-      "INFO:root:Loading configuration dataset_config.api_dataset.json\n",
-      "INFO:root:Training dataset path: ./network_datasets/api_dataset/south/train\n",
-      "INFO:root:Validation dataset path: ./network_datasets/api_dataset/south/val\n",
-      "INFO:root:Test dataset path: ./network_datasets/api_dataset/south/test\n"
-     ]
-    }
-   ],
    "source": [
     "from icenet.data.dataset import IceNetDataSet\n",
     "\n",
     "dataset_config = f\"dataset_config.{dataset_name}.json\"\n",
     "dataset = IceNetDataSet(dataset_config, batch_size=1)\n",
     "strategy = tf.distribute.get_strategy()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -896,40 +727,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'identifier': 'api_dataset',\n",
-       " 'implementation': 'DaskMultiWorkerLoader',\n",
-       " 'channels': ['siconca_abs_1', 'cos_1', 'land_1', 'sin_1'],\n",
-       " 'counts': {'train': 4, 'val': 4, 'test': 2},\n",
-       " 'dtype': 'float32',\n",
-       " 'loader_config': '/data/hpcdata/users/bryald/git/turing/icenet-edsbook/loader.notebook_api_data.json',\n",
-       " 'missing_dates': [],\n",
-       " 'n_forecast_days': 3,\n",
-       " 'north': False,\n",
-       " 'num_channels': 4,\n",
-       " 'shape': [432, 432],\n",
-       " 'south': True,\n",
-       " 'dataset_path': './network_datasets/api_dataset',\n",
-       " 'generate_workers': 1,\n",
-       " 'loss_weight_days': True,\n",
-       " 'output_batch_size': 1,\n",
-       " 'var_lag': 1,\n",
-       " 'var_lag_override': {}}"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
    "source": [
     "dataset._config"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -940,30 +743,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:Loading configuration /data/hpcdata/users/bryald/git/turing/icenet-edsbook/loader.notebook_api_data.json\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<icenet.data.loaders.dask.DaskMultiWorkerLoader at 0x7f33e416ed10>"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
    "source": [
     "dataset.get_data_loader()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -974,232 +759,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:Adding tensorboard callback\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Model: \"model\"\n",
-      "__________________________________________________________________________________________________\n",
-      " Layer (type)                   Output Shape         Param #     Connected to                     \n",
-      "==================================================================================================\n",
-      " input_1 (InputLayer)           [(None, 432, 432, 4  0           []                               \n",
-      "                                )]                                                                \n",
-      "                                                                                                  \n",
-      " conv2d (Conv2D)                (None, 432, 432, 3)  111         ['input_1[0][0]']                \n",
-      "                                                                                                  \n",
-      " conv2d_1 (Conv2D)              (None, 432, 432, 3)  84          ['conv2d[0][0]']                 \n",
-      "                                                                                                  \n",
-      " batch_normalization (BatchNorm  (None, 432, 432, 3)  12         ['conv2d_1[0][0]']               \n",
-      " alization)                                                                                       \n",
-      "                                                                                                  \n",
-      " max_pooling2d (MaxPooling2D)   (None, 216, 216, 3)  0           ['batch_normalization[0][0]']    \n",
-      "                                                                                                  \n",
-      " conv2d_2 (Conv2D)              (None, 216, 216, 6)  168         ['max_pooling2d[0][0]']          \n",
-      "                                                                                                  \n",
-      " conv2d_3 (Conv2D)              (None, 216, 216, 6)  330         ['conv2d_2[0][0]']               \n",
-      "                                                                                                  \n",
-      " batch_normalization_1 (BatchNo  (None, 216, 216, 6)  24         ['conv2d_3[0][0]']               \n",
-      " rmalization)                                                                                     \n",
-      "                                                                                                  \n",
-      " max_pooling2d_1 (MaxPooling2D)  (None, 108, 108, 6)  0          ['batch_normalization_1[0][0]']  \n",
-      "                                                                                                  \n",
-      " conv2d_4 (Conv2D)              (None, 108, 108, 12  660         ['max_pooling2d_1[0][0]']        \n",
-      "                                )                                                                 \n",
-      "                                                                                                  \n",
-      " conv2d_5 (Conv2D)              (None, 108, 108, 12  1308        ['conv2d_4[0][0]']               \n",
-      "                                )                                                                 \n",
-      "                                                                                                  \n",
-      " batch_normalization_2 (BatchNo  (None, 108, 108, 12  48         ['conv2d_5[0][0]']               \n",
-      " rmalization)                   )                                                                 \n",
-      "                                                                                                  \n",
-      " max_pooling2d_2 (MaxPooling2D)  (None, 54, 54, 12)  0           ['batch_normalization_2[0][0]']  \n",
-      "                                                                                                  \n",
-      " conv2d_6 (Conv2D)              (None, 54, 54, 12)   1308        ['max_pooling2d_2[0][0]']        \n",
-      "                                                                                                  \n",
-      " conv2d_7 (Conv2D)              (None, 54, 54, 12)   1308        ['conv2d_6[0][0]']               \n",
-      "                                                                                                  \n",
-      " batch_normalization_3 (BatchNo  (None, 54, 54, 12)  48          ['conv2d_7[0][0]']               \n",
-      " rmalization)                                                                                     \n",
-      "                                                                                                  \n",
-      " max_pooling2d_3 (MaxPooling2D)  (None, 27, 27, 12)  0           ['batch_normalization_3[0][0]']  \n",
-      "                                                                                                  \n",
-      " conv2d_8 (Conv2D)              (None, 27, 27, 24)   2616        ['max_pooling2d_3[0][0]']        \n",
-      "                                                                                                  \n",
-      " conv2d_9 (Conv2D)              (None, 27, 27, 24)   5208        ['conv2d_8[0][0]']               \n",
-      "                                                                                                  \n",
-      " batch_normalization_4 (BatchNo  (None, 27, 27, 24)  96          ['conv2d_9[0][0]']               \n",
-      " rmalization)                                                                                     \n",
-      "                                                                                                  \n",
-      " up_sampling2d (UpSampling2D)   (None, 54, 54, 24)   0           ['batch_normalization_4[0][0]']  \n",
-      "                                                                                                  \n",
-      " conv2d_10 (Conv2D)             (None, 54, 54, 12)   1164        ['up_sampling2d[0][0]']          \n",
-      "                                                                                                  \n",
-      " concatenate (Concatenate)      (None, 54, 54, 24)   0           ['batch_normalization_3[0][0]',  \n",
-      "                                                                  'conv2d_10[0][0]']              \n",
-      "                                                                                                  \n",
-      " conv2d_11 (Conv2D)             (None, 54, 54, 12)   2604        ['concatenate[0][0]']            \n",
-      "                                                                                                  \n",
-      " conv2d_12 (Conv2D)             (None, 54, 54, 12)   1308        ['conv2d_11[0][0]']              \n",
-      "                                                                                                  \n",
-      " batch_normalization_5 (BatchNo  (None, 54, 54, 12)  48          ['conv2d_12[0][0]']              \n",
-      " rmalization)                                                                                     \n",
-      "                                                                                                  \n",
-      " up_sampling2d_1 (UpSampling2D)  (None, 108, 108, 12  0          ['batch_normalization_5[0][0]']  \n",
-      "                                )                                                                 \n",
-      "                                                                                                  \n",
-      " conv2d_13 (Conv2D)             (None, 108, 108, 12  588         ['up_sampling2d_1[0][0]']        \n",
-      "                                )                                                                 \n",
-      "                                                                                                  \n",
-      " concatenate_1 (Concatenate)    (None, 108, 108, 24  0           ['batch_normalization_2[0][0]',  \n",
-      "                                )                                 'conv2d_13[0][0]']              \n",
-      "                                                                                                  \n",
-      " conv2d_14 (Conv2D)             (None, 108, 108, 12  2604        ['concatenate_1[0][0]']          \n",
-      "                                )                                                                 \n",
-      "                                                                                                  \n",
-      " conv2d_15 (Conv2D)             (None, 108, 108, 12  1308        ['conv2d_14[0][0]']              \n",
-      "                                )                                                                 \n",
-      "                                                                                                  \n",
-      " batch_normalization_6 (BatchNo  (None, 108, 108, 12  48         ['conv2d_15[0][0]']              \n",
-      " rmalization)                   )                                                                 \n",
-      "                                                                                                  \n",
-      " up_sampling2d_2 (UpSampling2D)  (None, 216, 216, 12  0          ['batch_normalization_6[0][0]']  \n",
-      "                                )                                                                 \n",
-      "                                                                                                  \n",
-      " conv2d_16 (Conv2D)             (None, 216, 216, 6)  294         ['up_sampling2d_2[0][0]']        \n",
-      "                                                                                                  \n",
-      " concatenate_2 (Concatenate)    (None, 216, 216, 12  0           ['batch_normalization_1[0][0]',  \n",
-      "                                )                                 'conv2d_16[0][0]']              \n",
-      "                                                                                                  \n",
-      " conv2d_17 (Conv2D)             (None, 216, 216, 6)  654         ['concatenate_2[0][0]']          \n",
-      "                                                                                                  \n",
-      " conv2d_18 (Conv2D)             (None, 216, 216, 6)  330         ['conv2d_17[0][0]']              \n",
-      "                                                                                                  \n",
-      " batch_normalization_7 (BatchNo  (None, 216, 216, 6)  24         ['conv2d_18[0][0]']              \n",
-      " rmalization)                                                                                     \n",
-      "                                                                                                  \n",
-      " up_sampling2d_3 (UpSampling2D)  (None, 432, 432, 6)  0          ['batch_normalization_7[0][0]']  \n",
-      "                                                                                                  \n",
-      " conv2d_19 (Conv2D)             (None, 432, 432, 3)  75          ['up_sampling2d_3[0][0]']        \n",
-      "                                                                                                  \n",
-      " concatenate_3 (Concatenate)    (None, 432, 432, 6)  0           ['conv2d_1[0][0]',               \n",
-      "                                                                  'conv2d_19[0][0]']              \n",
-      "                                                                                                  \n",
-      " conv2d_20 (Conv2D)             (None, 432, 432, 3)  165         ['concatenate_3[0][0]']          \n",
-      "                                                                                                  \n",
-      " conv2d_21 (Conv2D)             (None, 432, 432, 3)  84          ['conv2d_20[0][0]']              \n",
-      "                                                                                                  \n",
-      " conv2d_22 (Conv2D)             (None, 432, 432, 3)  84          ['conv2d_21[0][0]']              \n",
-      "                                                                                                  \n",
-      " conv2d_23 (Conv2D)             (None, 432, 432, 3)  12          ['conv2d_22[0][0]']              \n",
-      "                                                                                                  \n",
-      "==================================================================================================\n",
-      "Total params: 24,723\n",
-      "Trainable params: 24,549\n",
-      "Non-trainable params: 174\n",
-      "__________________________________________________________________________________________________\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:Datasets: 4 train, 4 val and 2 test filenames\n",
-      "INFO:root:Reducing datasets to 1.0 of total files\n",
-      "INFO:root:Reduced: 4 train, 4 val and 2 test filenames\n",
-      "INFO:root:\n",
-      "Setting learning rate to: 9.999999747378752e-05\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 1/3\n",
-      "\n",
-      "Epoch 1: val_rmse improved from inf to 44.89307, saving model to ./results/networks/api_test_run/api_test_run.network_api_dataset.42.h5\n",
-      "4/4 - 7s - loss: 366.1647 - binacc: 26.3217 - mae: 41.4743 - rmse: 44.8790 - mse: 2131.8828 - val_loss: 366.3950 - val_binacc: 32.3950 - val_mae: 43.3227 - val_rmse: 44.8931 - val_mse: 2337.3613 - lr: 1.0000e-04 - 7s/epoch - 2s/step\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:\n",
-      "Setting learning rate to: 9.999999747378752e-05\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 2/3\n",
-      "\n",
-      "Epoch 2: val_rmse improved from 44.89307 to 44.88022, saving model to ./results/networks/api_test_run/api_test_run.network_api_dataset.42.h5\n",
-      "4/4 - 2s - loss: 356.0443 - binacc: 26.7349 - mae: 40.7980 - rmse: 44.2544 - mse: 2105.3875 - val_loss: 366.1852 - val_binacc: 32.3950 - val_mae: 43.3102 - val_rmse: 44.8802 - val_mse: 2335.5542 - lr: 1.0000e-04 - 2s/epoch - 393ms/step\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:\n",
-      "Setting learning rate to: 9.999999747378752e-05\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Epoch 3/3\n",
-      "\n",
-      "Epoch 3: val_rmse improved from 44.88022 to 44.85600, saving model to ./results/networks/api_test_run/api_test_run.network_api_dataset.42.h5\n",
-      "4/4 - 2s - loss: 345.2136 - binacc: 27.1157 - mae: 40.0415 - rmse: 43.5761 - mse: 2077.3376 - val_loss: 365.7901 - val_binacc: 32.3950 - val_mae: 43.2886 - val_rmse: 44.8560 - val_mse: 2331.9070 - lr: 1.0000e-04 - 2s/epoch - 397ms/step\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:Saving network to: ./results/networks/api_test_run/api_test_run.network_api_dataset.42.h5\n",
-      "WARNING:absl:Found untraced functions such as _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op, _jit_compiled_convolution_op while saving (showing 5 of 25). These functions will not be directly callable after loading.\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "INFO:tensorflow:Assets written to: ./results/networks/api_test_run/api_test_run.model_api_dataset.42/assets\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:tensorflow:Assets written to: ./results/networks/api_test_run/api_test_run.model_api_dataset.42/assets\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "CPU times: user 26.1 s, sys: 2.72 s, total: 28.8 s\n",
-      "Wall time: 15.1 s\n"
-     ]
-    }
-   ],
    "source": [
     "%%time\n",
     "from icenet.model.train import train_model\n",
@@ -1217,7 +777,9 @@
     "    training_verbosity=2,\n",
     "    workers=1\n",
     ")"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -1240,39 +802,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:Loading configuration dataset_config.api_dataset.json\n",
-      "INFO:root:Training dataset path: ./network_datasets/api_dataset/south/train\n",
-      "INFO:root:Validation dataset path: ./network_datasets/api_dataset/south/val\n",
-      "INFO:root:Test dataset path: ./network_datasets/api_dataset/south/test\n",
-      "INFO:root:Loading configuration /data/hpcdata/users/bryald/git/turing/icenet-edsbook/loader.notebook_api_data.json\n",
-      "INFO:root:Loading model from ./results/networks/api_test_run/api_test_run.network_api_dataset.42.h5...\n",
-      "INFO:root:Datasets: 8 train, 8 val and 4 test filenames\n",
-      "INFO:root:Processing test batch 1, item 0 (date 2020-04-01)\n",
-      "INFO:root:Running prediction 2020-04-01\n",
-      "WARNING:root:./results/predict/custom_run_forecast/api_test_run.42 output already exists\n",
-      "INFO:root:Saving 2020-04-01 - forecast output (1, 432, 432, 3)\n",
-      "INFO:root:Processing test batch 1, item 1 (date 2020-04-02)\n",
-      "INFO:root:Running prediction 2020-04-02\n",
-      "WARNING:root:./results/predict/custom_run_forecast/api_test_run.42 output already exists\n",
-      "INFO:root:Saving 2020-04-02 - forecast output (1, 432, 432, 3)\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "CPU times: user 1.8 s, sys: 291 ms, total: 2.1 s\n",
-      "Wall time: 1.25 s\n"
-     ]
-    }
-   ],
    "source": [
     "%%time\n",
     "from icenet.model.predict import predict_forecast\n",
@@ -1292,7 +822,9 @@
     "                 for el in pd.date_range(\"2020-04-01\", \"2020-04-02\")],\n",
     "    test_set=True,\n",
     ")"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -1316,49 +848,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2020-04-01\n",
-      "2020-04-02"
-     ]
-    }
-   ],
    "source": [
     "!printf \"2020-04-01\\n2020-04-02\" | tee predict_dates.csv"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[26-06-24 12:24:05 :WARNING ] - PyTorch not found - not required if not using PyTorch\n",
-      "[26-06-24 12:24:05 :INFO    ] - Loading configuration ./dataset_config.api_dataset.json\n",
-      "[26-06-24 12:24:05 :INFO    ] - Training dataset path: ./network_datasets/api_dataset/south/train\n",
-      "[26-06-24 12:24:05 :INFO    ] - Validation dataset path: ./network_datasets/api_dataset/south/val\n",
-      "[26-06-24 12:24:05 :INFO    ] - Test dataset path: ./network_datasets/api_dataset/south/test\n",
-      "[26-06-24 12:24:05 :INFO    ] - Post-processing 2020-04-01\n",
-      "[26-06-24 12:24:05 :INFO    ] - Post-processing 2020-04-02\n",
-      "[26-06-24 12:24:06 :INFO    ] - Dataset arr shape: (2, 432, 432, 3, 2)\n",
-      "[26-06-24 12:24:06 :INFO    ] - Applying active grid cell masks\n",
-      "[26-06-24 12:24:06 :INFO    ] - Land masking the forecast output\n",
-      "[26-06-24 12:24:06 :INFO    ] - Applying zeros to land mask\n",
-      "[26-06-24 12:24:06 :INFO    ] - Saving to ./results/predict/custom_run_forecast.nc\n"
-     ]
-    }
-   ],
    "source": [
     "!icenet_output -m -o ./results/predict custom_run_forecast api_dataset predict_dates.csv"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -1388,9 +892,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
    "metadata": {},
-   "outputs": [],
    "source": [
     "from icenet.plotting.video import xarray_to_video as xvid\n",
     "from icenet.data.sic.mask import Masks\n",
@@ -1423,7 +925,9 @@
     "\n",
     "    anim = xvid(fc, 15, figsize=4, mask=land_mask, colorbar_label=\"Sea-ice concentration fraction\")\n",
     "    display(HTML(anim.to_jshtml()))"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -1438,3545 +942,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:Inspecting data\n",
-      "INFO:root:Initialising plot\n",
-      "INFO:root:Animating\n",
-      "INFO:root:Not saving plot, will return animation\n",
-      "INFO:matplotlib.animation:Animation.save using <class 'matplotlib.animation.HTMLWriter'>\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2020-04-01T00:00:00.000000000\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<link rel=\"stylesheet\"\n",
-       "href=\"https://maxcdn.bootstrapcdn.com/font-awesome/4.4.0/css/font-awesome.min.css\">\n",
-       "<script language=\"javascript\">\n",
-       "  function isInternetExplorer() {\n",
-       "    ua = navigator.userAgent;\n",
-       "    /* MSIE used to detect old browsers and Trident used to newer ones*/\n",
-       "    return ua.indexOf(\"MSIE \") > -1 || ua.indexOf(\"Trident/\") > -1;\n",
-       "  }\n",
-       "\n",
-       "  /* Define the Animation class */\n",
-       "  function Animation(frames, img_id, slider_id, interval, loop_select_id){\n",
-       "    this.img_id = img_id;\n",
-       "    this.slider_id = slider_id;\n",
-       "    this.loop_select_id = loop_select_id;\n",
-       "    this.interval = interval;\n",
-       "    this.current_frame = 0;\n",
-       "    this.direction = 0;\n",
-       "    this.timer = null;\n",
-       "    this.frames = new Array(frames.length);\n",
-       "\n",
-       "    for (var i=0; i<frames.length; i++)\n",
-       "    {\n",
-       "     this.frames[i] = new Image();\n",
-       "     this.frames[i].src = frames[i];\n",
-       "    }\n",
-       "    var slider = document.getElementById(this.slider_id);\n",
-       "    slider.max = this.frames.length - 1;\n",
-       "    if (isInternetExplorer()) {\n",
-       "        // switch from oninput to onchange because IE <= 11 does not conform\n",
-       "        // with W3C specification. It ignores oninput and onchange behaves\n",
-       "        // like oninput. In contrast, Microsoft Edge behaves correctly.\n",
-       "        slider.setAttribute('onchange', slider.getAttribute('oninput'));\n",
-       "        slider.setAttribute('oninput', null);\n",
-       "    }\n",
-       "    this.set_frame(this.current_frame);\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.get_loop_state = function(){\n",
-       "    var button_group = document[this.loop_select_id].state;\n",
-       "    for (var i = 0; i < button_group.length; i++) {\n",
-       "        var button = button_group[i];\n",
-       "        if (button.checked) {\n",
-       "            return button.value;\n",
-       "        }\n",
-       "    }\n",
-       "    return undefined;\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.set_frame = function(frame){\n",
-       "    this.current_frame = frame;\n",
-       "    document.getElementById(this.img_id).src =\n",
-       "            this.frames[this.current_frame].src;\n",
-       "    document.getElementById(this.slider_id).value = this.current_frame;\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.next_frame = function()\n",
-       "  {\n",
-       "    this.set_frame(Math.min(this.frames.length - 1, this.current_frame + 1));\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.previous_frame = function()\n",
-       "  {\n",
-       "    this.set_frame(Math.max(0, this.current_frame - 1));\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.first_frame = function()\n",
-       "  {\n",
-       "    this.set_frame(0);\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.last_frame = function()\n",
-       "  {\n",
-       "    this.set_frame(this.frames.length - 1);\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.slower = function()\n",
-       "  {\n",
-       "    this.interval /= 0.7;\n",
-       "    if(this.direction > 0){this.play_animation();}\n",
-       "    else if(this.direction < 0){this.reverse_animation();}\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.faster = function()\n",
-       "  {\n",
-       "    this.interval *= 0.7;\n",
-       "    if(this.direction > 0){this.play_animation();}\n",
-       "    else if(this.direction < 0){this.reverse_animation();}\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.anim_step_forward = function()\n",
-       "  {\n",
-       "    this.current_frame += 1;\n",
-       "    if(this.current_frame < this.frames.length){\n",
-       "      this.set_frame(this.current_frame);\n",
-       "    }else{\n",
-       "      var loop_state = this.get_loop_state();\n",
-       "      if(loop_state == \"loop\"){\n",
-       "        this.first_frame();\n",
-       "      }else if(loop_state == \"reflect\"){\n",
-       "        this.last_frame();\n",
-       "        this.reverse_animation();\n",
-       "      }else{\n",
-       "        this.pause_animation();\n",
-       "        this.last_frame();\n",
-       "      }\n",
-       "    }\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.anim_step_reverse = function()\n",
-       "  {\n",
-       "    this.current_frame -= 1;\n",
-       "    if(this.current_frame >= 0){\n",
-       "      this.set_frame(this.current_frame);\n",
-       "    }else{\n",
-       "      var loop_state = this.get_loop_state();\n",
-       "      if(loop_state == \"loop\"){\n",
-       "        this.last_frame();\n",
-       "      }else if(loop_state == \"reflect\"){\n",
-       "        this.first_frame();\n",
-       "        this.play_animation();\n",
-       "      }else{\n",
-       "        this.pause_animation();\n",
-       "        this.first_frame();\n",
-       "      }\n",
-       "    }\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.pause_animation = function()\n",
-       "  {\n",
-       "    this.direction = 0;\n",
-       "    if (this.timer){\n",
-       "      clearInterval(this.timer);\n",
-       "      this.timer = null;\n",
-       "    }\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.play_animation = function()\n",
-       "  {\n",
-       "    this.pause_animation();\n",
-       "    this.direction = 1;\n",
-       "    var t = this;\n",
-       "    if (!this.timer) this.timer = setInterval(function() {\n",
-       "        t.anim_step_forward();\n",
-       "    }, this.interval);\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.reverse_animation = function()\n",
-       "  {\n",
-       "    this.pause_animation();\n",
-       "    this.direction = -1;\n",
-       "    var t = this;\n",
-       "    if (!this.timer) this.timer = setInterval(function() {\n",
-       "        t.anim_step_reverse();\n",
-       "    }, this.interval);\n",
-       "  }\n",
-       "</script>\n",
-       "\n",
-       "<style>\n",
-       ".animation {\n",
-       "    display: inline-block;\n",
-       "    text-align: center;\n",
-       "}\n",
-       "input[type=range].anim-slider {\n",
-       "    width: 374px;\n",
-       "    margin-left: auto;\n",
-       "    margin-right: auto;\n",
-       "}\n",
-       ".anim-buttons {\n",
-       "    margin: 8px 0px;\n",
-       "}\n",
-       ".anim-buttons button {\n",
-       "    padding: 0;\n",
-       "    width: 36px;\n",
-       "}\n",
-       ".anim-state label {\n",
-       "    margin-right: 8px;\n",
-       "}\n",
-       ".anim-state input {\n",
-       "    margin: 0;\n",
-       "    vertical-align: middle;\n",
-       "}\n",
-       "</style>\n",
-       "\n",
-       "<div class=\"animation\">\n",
-       "  <img id=\"_anim_imgea0158e5845d40f1905b1f2511da58b9\">\n",
-       "  <div class=\"anim-controls\">\n",
-       "    <input id=\"_anim_sliderea0158e5845d40f1905b1f2511da58b9\" type=\"range\" class=\"anim-slider\"\n",
-       "           name=\"points\" min=\"0\" max=\"1\" step=\"1\" value=\"0\"\n",
-       "           oninput=\"animea0158e5845d40f1905b1f2511da58b9.set_frame(parseInt(this.value));\">\n",
-       "    <div class=\"anim-buttons\">\n",
-       "      <button title=\"Decrease speed\" aria-label=\"Decrease speed\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.slower()\">\n",
-       "          <i class=\"fa fa-minus\"></i></button>\n",
-       "      <button title=\"First frame\" aria-label=\"First frame\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.first_frame()\">\n",
-       "        <i class=\"fa fa-fast-backward\"></i></button>\n",
-       "      <button title=\"Previous frame\" aria-label=\"Previous frame\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.previous_frame()\">\n",
-       "          <i class=\"fa fa-step-backward\"></i></button>\n",
-       "      <button title=\"Play backwards\" aria-label=\"Play backwards\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.reverse_animation()\">\n",
-       "          <i class=\"fa fa-play fa-flip-horizontal\"></i></button>\n",
-       "      <button title=\"Pause\" aria-label=\"Pause\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.pause_animation()\">\n",
-       "          <i class=\"fa fa-pause\"></i></button>\n",
-       "      <button title=\"Play\" aria-label=\"Play\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.play_animation()\">\n",
-       "          <i class=\"fa fa-play\"></i></button>\n",
-       "      <button title=\"Next frame\" aria-label=\"Next frame\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.next_frame()\">\n",
-       "          <i class=\"fa fa-step-forward\"></i></button>\n",
-       "      <button title=\"Last frame\" aria-label=\"Last frame\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.last_frame()\">\n",
-       "          <i class=\"fa fa-fast-forward\"></i></button>\n",
-       "      <button title=\"Increase speed\" aria-label=\"Increase speed\" onclick=\"animea0158e5845d40f1905b1f2511da58b9.faster()\">\n",
-       "          <i class=\"fa fa-plus\"></i></button>\n",
-       "    </div>\n",
-       "    <form title=\"Repetition mode\" aria-label=\"Repetition mode\" action=\"#n\" name=\"_anim_loop_selectea0158e5845d40f1905b1f2511da58b9\"\n",
-       "          class=\"anim-state\">\n",
-       "      <input type=\"radio\" name=\"state\" value=\"once\" id=\"_anim_radio1_ea0158e5845d40f1905b1f2511da58b9\"\n",
-       "             >\n",
-       "      <label for=\"_anim_radio1_ea0158e5845d40f1905b1f2511da58b9\">Once</label>\n",
-       "      <input type=\"radio\" name=\"state\" value=\"loop\" id=\"_anim_radio2_ea0158e5845d40f1905b1f2511da58b9\"\n",
-       "             checked>\n",
-       "      <label for=\"_anim_radio2_ea0158e5845d40f1905b1f2511da58b9\">Loop</label>\n",
-       "      <input type=\"radio\" name=\"state\" value=\"reflect\" id=\"_anim_radio3_ea0158e5845d40f1905b1f2511da58b9\"\n",
-       "             >\n",
-       "      <label for=\"_anim_radio3_ea0158e5845d40f1905b1f2511da58b9\">Reflect</label>\n",
-       "    </form>\n",
-       "  </div>\n",
-       "</div>\n",
-       "\n",
-       "\n",
-       "<script language=\"javascript\">\n",
-       "  /* Instantiate the Animation class. */\n",
-       "  /* The IDs given should match those used in the template above. */\n",
-       "  (function() {\n",
-       "    var img_id = \"_anim_imgea0158e5845d40f1905b1f2511da58b9\";\n",
-       "    var slider_id = \"_anim_sliderea0158e5845d40f1905b1f2511da58b9\";\n",
-       "    var loop_select_id = \"_anim_loop_selectea0158e5845d40f1905b1f2511da58b9\";\n",
-       "    var frames = new Array(3);\n",
-       "    \n",
-       "  frames[0] = \"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAJYCAYAAAC+ZpjcAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\\\n",
-       "bGliIHZlcnNpb24zLjkuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy80BEi2AAAACXBIWXMAABcS\\\n",
-       "AAAXEgFnn9JSAADxtklEQVR4nOydeZwcVbm/n1PV3bMvSSb7vm+QkIUlgRA2AVmFy3L1IgZU9ApX\\\n",
-       "L6v6E9CreN0Qr14UxStEriJcEdCAsgQStpAACRDIvk72TLaZzN7dVef3R3XVVPd0z/TM1GzJ++TT\\\n",
-       "n3RVnTrnVE9317ff9z3vq7TWGkEQBEEQBCEwjO6egCAIgiAIwrGGCCxBEARBEISAEYElCIIgCIIQ\\\n",
-       "MCKwBEEQBEEQAkYEliAIgiAIQsCIwBIEQRAEQQgYEViCIAiCIAgBIwJLEARBEAQhYERgCYIgCIIg\\\n",
-       "BIwILEEQBEEQhIARgSUIgiAIghAwIrAEQRAEQRACRgSWIAiCIAhCwIjAEgRBEARBCBgRWIIgCIIg\\\n",
-       "CAEjAksQBEEQBCFgRGAJgiAIgiAEjAgsQRAEQRCEgBGBJQiCIAiCEDAisARBEARBEAJGBJYgCIIg\\\n",
-       "CELAiMASBEEQBEEIGBFYgiAIgiAIASMCSxAEQRAEIWBEYAmCIAiCIASMCCxBEARBEISAEYElCIIg\\\n",
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-       "TAIsIYQQQgifSYAlhBBCCOGz/x/Vu4PVwlWjTAAAAABJRU5ErkJggg==\\\n",
-       "\"\n",
-       "\n",
-       "\n",
-       "    /* set a timeout to make sure all the above elements are created before\n",
-       "       the object is initialized. */\n",
-       "    setTimeout(function() {\n",
-       "        animea0158e5845d40f1905b1f2511da58b9 = new Animation(frames, img_id, slider_id, 66.0,\n",
-       "                                 loop_select_id);\n",
-       "    }, 0);\n",
-       "  })()\n",
-       "</script>\n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
    "source": [
     "plot_result(\"results/predict/custom_run_forecast.nc\")"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -5039,3160 +1010,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "INFO:root:Inspecting data\n",
-      "INFO:root:Initialising plot\n",
-      "INFO:root:Animating\n",
-      "INFO:root:Not saving plot, will return animation\n",
-      "INFO:matplotlib.animation:Animation.save using <class 'matplotlib.animation.HTMLWriter'>\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2020-04-01T00:00:00.000000000\n"
-     ]
-    },
-    {
-     "data": {
-      "text/html": [
-       "\n",
-       "<link rel=\"stylesheet\"\n",
-       "href=\"https://maxcdn.bootstrapcdn.com/font-awesome/4.4.0/css/font-awesome.min.css\">\n",
-       "<script language=\"javascript\">\n",
-       "  function isInternetExplorer() {\n",
-       "    ua = navigator.userAgent;\n",
-       "    /* MSIE used to detect old browsers and Trident used to newer ones*/\n",
-       "    return ua.indexOf(\"MSIE \") > -1 || ua.indexOf(\"Trident/\") > -1;\n",
-       "  }\n",
-       "\n",
-       "  /* Define the Animation class */\n",
-       "  function Animation(frames, img_id, slider_id, interval, loop_select_id){\n",
-       "    this.img_id = img_id;\n",
-       "    this.slider_id = slider_id;\n",
-       "    this.loop_select_id = loop_select_id;\n",
-       "    this.interval = interval;\n",
-       "    this.current_frame = 0;\n",
-       "    this.direction = 0;\n",
-       "    this.timer = null;\n",
-       "    this.frames = new Array(frames.length);\n",
-       "\n",
-       "    for (var i=0; i<frames.length; i++)\n",
-       "    {\n",
-       "     this.frames[i] = new Image();\n",
-       "     this.frames[i].src = frames[i];\n",
-       "    }\n",
-       "    var slider = document.getElementById(this.slider_id);\n",
-       "    slider.max = this.frames.length - 1;\n",
-       "    if (isInternetExplorer()) {\n",
-       "        // switch from oninput to onchange because IE <= 11 does not conform\n",
-       "        // with W3C specification. It ignores oninput and onchange behaves\n",
-       "        // like oninput. In contrast, Microsoft Edge behaves correctly.\n",
-       "        slider.setAttribute('onchange', slider.getAttribute('oninput'));\n",
-       "        slider.setAttribute('oninput', null);\n",
-       "    }\n",
-       "    this.set_frame(this.current_frame);\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.get_loop_state = function(){\n",
-       "    var button_group = document[this.loop_select_id].state;\n",
-       "    for (var i = 0; i < button_group.length; i++) {\n",
-       "        var button = button_group[i];\n",
-       "        if (button.checked) {\n",
-       "            return button.value;\n",
-       "        }\n",
-       "    }\n",
-       "    return undefined;\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.set_frame = function(frame){\n",
-       "    this.current_frame = frame;\n",
-       "    document.getElementById(this.img_id).src =\n",
-       "            this.frames[this.current_frame].src;\n",
-       "    document.getElementById(this.slider_id).value = this.current_frame;\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.next_frame = function()\n",
-       "  {\n",
-       "    this.set_frame(Math.min(this.frames.length - 1, this.current_frame + 1));\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.previous_frame = function()\n",
-       "  {\n",
-       "    this.set_frame(Math.max(0, this.current_frame - 1));\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.first_frame = function()\n",
-       "  {\n",
-       "    this.set_frame(0);\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.last_frame = function()\n",
-       "  {\n",
-       "    this.set_frame(this.frames.length - 1);\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.slower = function()\n",
-       "  {\n",
-       "    this.interval /= 0.7;\n",
-       "    if(this.direction > 0){this.play_animation();}\n",
-       "    else if(this.direction < 0){this.reverse_animation();}\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.faster = function()\n",
-       "  {\n",
-       "    this.interval *= 0.7;\n",
-       "    if(this.direction > 0){this.play_animation();}\n",
-       "    else if(this.direction < 0){this.reverse_animation();}\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.anim_step_forward = function()\n",
-       "  {\n",
-       "    this.current_frame += 1;\n",
-       "    if(this.current_frame < this.frames.length){\n",
-       "      this.set_frame(this.current_frame);\n",
-       "    }else{\n",
-       "      var loop_state = this.get_loop_state();\n",
-       "      if(loop_state == \"loop\"){\n",
-       "        this.first_frame();\n",
-       "      }else if(loop_state == \"reflect\"){\n",
-       "        this.last_frame();\n",
-       "        this.reverse_animation();\n",
-       "      }else{\n",
-       "        this.pause_animation();\n",
-       "        this.last_frame();\n",
-       "      }\n",
-       "    }\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.anim_step_reverse = function()\n",
-       "  {\n",
-       "    this.current_frame -= 1;\n",
-       "    if(this.current_frame >= 0){\n",
-       "      this.set_frame(this.current_frame);\n",
-       "    }else{\n",
-       "      var loop_state = this.get_loop_state();\n",
-       "      if(loop_state == \"loop\"){\n",
-       "        this.last_frame();\n",
-       "      }else if(loop_state == \"reflect\"){\n",
-       "        this.first_frame();\n",
-       "        this.play_animation();\n",
-       "      }else{\n",
-       "        this.pause_animation();\n",
-       "        this.first_frame();\n",
-       "      }\n",
-       "    }\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.pause_animation = function()\n",
-       "  {\n",
-       "    this.direction = 0;\n",
-       "    if (this.timer){\n",
-       "      clearInterval(this.timer);\n",
-       "      this.timer = null;\n",
-       "    }\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.play_animation = function()\n",
-       "  {\n",
-       "    this.pause_animation();\n",
-       "    this.direction = 1;\n",
-       "    var t = this;\n",
-       "    if (!this.timer) this.timer = setInterval(function() {\n",
-       "        t.anim_step_forward();\n",
-       "    }, this.interval);\n",
-       "  }\n",
-       "\n",
-       "  Animation.prototype.reverse_animation = function()\n",
-       "  {\n",
-       "    this.pause_animation();\n",
-       "    this.direction = -1;\n",
-       "    var t = this;\n",
-       "    if (!this.timer) this.timer = setInterval(function() {\n",
-       "        t.anim_step_reverse();\n",
-       "    }, this.interval);\n",
-       "  }\n",
-       "</script>\n",
-       "\n",
-       "<style>\n",
-       ".animation {\n",
-       "    display: inline-block;\n",
-       "    text-align: center;\n",
-       "}\n",
-       "input[type=range].anim-slider {\n",
-       "    width: 374px;\n",
-       "    margin-left: auto;\n",
-       "    margin-right: auto;\n",
-       "}\n",
-       ".anim-buttons {\n",
-       "    margin: 8px 0px;\n",
-       "}\n",
-       ".anim-buttons button {\n",
-       "    padding: 0;\n",
-       "    width: 36px;\n",
-       "}\n",
-       ".anim-state label {\n",
-       "    margin-right: 8px;\n",
-       "}\n",
-       ".anim-state input {\n",
-       "    margin: 0;\n",
-       "    vertical-align: middle;\n",
-       "}\n",
-       "</style>\n",
-       "\n",
-       "<div class=\"animation\">\n",
-       "  <img id=\"_anim_img142793516d974016a2bcb7012c0fb64e\">\n",
-       "  <div class=\"anim-controls\">\n",
-       "    <input id=\"_anim_slider142793516d974016a2bcb7012c0fb64e\" type=\"range\" class=\"anim-slider\"\n",
-       "           name=\"points\" min=\"0\" max=\"1\" step=\"1\" value=\"0\"\n",
-       "           oninput=\"anim142793516d974016a2bcb7012c0fb64e.set_frame(parseInt(this.value));\">\n",
-       "    <div class=\"anim-buttons\">\n",
-       "      <button title=\"Decrease speed\" aria-label=\"Decrease speed\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.slower()\">\n",
-       "          <i class=\"fa fa-minus\"></i></button>\n",
-       "      <button title=\"First frame\" aria-label=\"First frame\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.first_frame()\">\n",
-       "        <i class=\"fa fa-fast-backward\"></i></button>\n",
-       "      <button title=\"Previous frame\" aria-label=\"Previous frame\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.previous_frame()\">\n",
-       "          <i class=\"fa fa-step-backward\"></i></button>\n",
-       "      <button title=\"Play backwards\" aria-label=\"Play backwards\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.reverse_animation()\">\n",
-       "          <i class=\"fa fa-play fa-flip-horizontal\"></i></button>\n",
-       "      <button title=\"Pause\" aria-label=\"Pause\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.pause_animation()\">\n",
-       "          <i class=\"fa fa-pause\"></i></button>\n",
-       "      <button title=\"Play\" aria-label=\"Play\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.play_animation()\">\n",
-       "          <i class=\"fa fa-play\"></i></button>\n",
-       "      <button title=\"Next frame\" aria-label=\"Next frame\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.next_frame()\">\n",
-       "          <i class=\"fa fa-step-forward\"></i></button>\n",
-       "      <button title=\"Last frame\" aria-label=\"Last frame\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.last_frame()\">\n",
-       "          <i class=\"fa fa-fast-forward\"></i></button>\n",
-       "      <button title=\"Increase speed\" aria-label=\"Increase speed\" onclick=\"anim142793516d974016a2bcb7012c0fb64e.faster()\">\n",
-       "          <i class=\"fa fa-plus\"></i></button>\n",
-       "    </div>\n",
-       "    <form title=\"Repetition mode\" aria-label=\"Repetition mode\" action=\"#n\" name=\"_anim_loop_select142793516d974016a2bcb7012c0fb64e\"\n",
-       "          class=\"anim-state\">\n",
-       "      <input type=\"radio\" name=\"state\" value=\"once\" id=\"_anim_radio1_142793516d974016a2bcb7012c0fb64e\"\n",
-       "             >\n",
-       "      <label for=\"_anim_radio1_142793516d974016a2bcb7012c0fb64e\">Once</label>\n",
-       "      <input type=\"radio\" name=\"state\" value=\"loop\" id=\"_anim_radio2_142793516d974016a2bcb7012c0fb64e\"\n",
-       "             checked>\n",
-       "      <label for=\"_anim_radio2_142793516d974016a2bcb7012c0fb64e\">Loop</label>\n",
-       "      <input type=\"radio\" name=\"state\" value=\"reflect\" id=\"_anim_radio3_142793516d974016a2bcb7012c0fb64e\"\n",
-       "             >\n",
-       "      <label for=\"_anim_radio3_142793516d974016a2bcb7012c0fb64e\">Reflect</label>\n",
-       "    </form>\n",
-       "  </div>\n",
-       "</div>\n",
-       "\n",
-       "\n",
-       "<script language=\"javascript\">\n",
-       "  /* Instantiate the Animation class. */\n",
-       "  /* The IDs given should match those used in the template above. */\n",
-       "  (function() {\n",
-       "    var img_id = \"_anim_img142793516d974016a2bcb7012c0fb64e\";\n",
-       "    var slider_id = \"_anim_slider142793516d974016a2bcb7012c0fb64e\";\n",
-       "    var loop_select_id = \"_anim_loop_select142793516d974016a2bcb7012c0fb64e\";\n",
-       "    var frames = new Array(3);\n",
-       "    \n",
-       "  frames[0] = \"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAlgAAAJYCAYAAAC+ZpjcAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90\\\n",
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-       "CIdJwBJCCCGEcJgELCGEEEIIh0nAEkIIIYRwmAQsIYQQQgiHScASQgghhHDY/wddHohR3lTiEgAA\\\n",
-       "AABJRU5ErkJggg==\\\n",
-       "\"\n",
-       "\n",
-       "\n",
-       "    /* set a timeout to make sure all the above elements are created before\n",
-       "       the object is initialized. */\n",
-       "    setTimeout(function() {\n",
-       "        anim142793516d974016a2bcb7012c0fb64e = new Animation(frames, img_id, slider_id, 66.0,\n",
-       "                                 loop_select_id);\n",
-       "    }, 0);\n",
-       "  })()\n",
-       "</script>\n"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
    "source": [
     "plot_result(\"results/predict/good_forecast.nc\")"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -8249,42 +1072,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "IceNet version: 0.2.9_dev\n"
-     ]
-    }
-   ],
    "source": [
     "import icenet\n",
     "icenet_version = icenet.__version__\n",
     "print(f'IceNet version: {icenet_version}')"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Last tested: 2024-06-26\n"
-     ]
-    }
-   ],
    "source": [
     "from datetime import date\n",
     "print(f'Last tested: {date.today()}')"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   }
  ],
  "metadata": {

From 884bca11b9969f1009fb9f75fc064a433005d985 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 1 Jul 2024 21:37:28 +0100
Subject: [PATCH 070/141] add conda-lock working with osx-64 -p linux-64

---
 .lock/conda-lock.yml | 8711 ++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 8711 insertions(+)
 create mode 100644 .lock/conda-lock.yml

diff --git a/.lock/conda-lock.yml b/.lock/conda-lock.yml
new file mode 100644
index 0000000..87d552b
--- /dev/null
+++ b/.lock/conda-lock.yml
@@ -0,0 +1,8711 @@
+# This lock file was generated by conda-lock (https://github.com/conda/conda-lock). DO NOT EDIT!
+#
+# A "lock file" contains a concrete list of package versions (with checksums) to be installed. Unlike
+# e.g. `conda env create`, the resulting environment will not change as new package versions become
+# available, unless you explicitly update the lock file.
+#
+# Install this environment as "YOURENV" with:
+#     conda-lock install -n YOURENV --file conda-lock.yml
+# To update a single package to the latest version compatible with the version constraints in the source:
+#     conda-lock lock  --lockfile conda-lock.yml --update PACKAGE
+# To re-solve the entire environment, e.g. after changing a version constraint in the source file:
+#     conda-lock -f .binder/environment.yml --lockfile conda-lock.yml
+version: 1
+metadata:
+  content_hash:
+    osx-64: a68ec31879f335bd8570a232ae52656df5b20a2bbdc5b973c41ab6ecae1ee919
+    linux-64: e07868bd9bf0663ddbdfe323e808dd0a1a321264d23c39769a6fca78a9ba6cd0
+  channels:
+  - url: conda-forge
+    used_env_vars: []
+  platforms:
+  - osx-64
+  - linux-64
+  sources:
+  - .binder/environment.yml
+package:
+- name: _libgcc_mutex
+  version: '0.1'
+  manager: conda
+  platform: linux-64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2
+  hash:
+    md5: d7c89558ba9fa0495403155b64376d81
+    sha256: fe51de6107f9edc7aa4f786a70f4a883943bc9d39b3bb7307c04c41410990726
+  category: main
+  optional: false
+- name: _openmp_mutex
+  version: '4.5'
+  manager: conda
+  platform: linux-64
+  dependencies:
+    _libgcc_mutex: '0.1'
+    libgomp: '>=7.5.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2
+  hash:
+    md5: 73aaf86a425cc6e73fcf236a5a46396d
+    sha256: fbe2c5e56a653bebb982eda4876a9178aedfc2b545f25d0ce9c4c0b508253d22
+  category: main
+  optional: false
+- name: absl-py
+  version: 2.1.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/absl-py-2.1.0-pyhd8ed1ab_0.conda
+  hash:
+    md5: 035d1d58677c13ec93122d9eb6b8803b
+    sha256: 6c84575fe0c3a860c7b6a52cb36dc548c838503c8da0f950a63a64c29b443937
+  category: main
+  optional: false
+- name: absl-py
+  version: 2.1.0
+  manager: conda
+  platform: osx-64
+  dependencies:
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/absl-py-2.1.0-pyhd8ed1ab_0.conda
+  hash:
+    md5: 035d1d58677c13ec93122d9eb6b8803b
+    sha256: 6c84575fe0c3a860c7b6a52cb36dc548c838503c8da0f950a63a64c29b443937
+  category: main
+  optional: false
+- name: aiohttp
+  version: 3.9.5
+  manager: conda
+  platform: linux-64
+  dependencies:
+    aiosignal: '>=1.1.2'
+    async-timeout: '>=4.0,<5.0'
+    attrs: '>=17.3.0'
+    frozenlist: '>=1.1.1'
+    libgcc-ng: '>=12'
+    multidict: '>=4.5,<7.0'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.*
+    yarl: '>=1.0,<2.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.9.5-py310h2372a71_0.conda
+  hash:
+    md5: 00b6dda5bb36ac4226a051db2d406d22
+    sha256: be88033cfaf80d1ea9a2e16af2ca9eb760aa034af5a4a49a348f654ebd73756c
+  category: main
+  optional: false
+- name: aiohttp
+  version: 3.9.5
+  manager: conda
+  platform: osx-64
+  dependencies:
+    aiosignal: '>=1.1.2'
+    async-timeout: '>=4.0,<5.0'
+    attrs: '>=17.3.0'
+    frozenlist: '>=1.1.1'
+    multidict: '>=4.5,<7.0'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.*
+    yarl: '>=1.0,<2.0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/aiohttp-3.9.5-py310hb372a2b_0.conda
+  hash:
+    md5: 9dd1934ed0774abc340c1f81c2bab542
+    sha256: e7dd8b970b8d76fe3968386eb90f5ddbba7dfd1ff2fd86b3df9e05bae46d10b2
+  category: main
+  optional: false
+- name: aiosignal
+  version: 1.3.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    frozenlist: '>=1.1.0'
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.3.1-pyhd8ed1ab_0.tar.bz2
+  hash:
+    md5: d1e1eb7e21a9e2c74279d87dafb68156
+    sha256: 575c742e14c86575986dc867463582a970463da50b77264cdf54df74f5563783
+  category: main
+  optional: false
+- name: aiosignal
+  version: 1.3.1
+  manager: conda
+  platform: osx-64
+  dependencies:
+    frozenlist: '>=1.1.0'
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.3.1-pyhd8ed1ab_0.tar.bz2
+  hash:
+    md5: d1e1eb7e21a9e2c74279d87dafb68156
+    sha256: 575c742e14c86575986dc867463582a970463da50b77264cdf54df74f5563783
+  category: main
+  optional: false
+- name: antlr-python-runtime
+  version: 4.11.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.6'
+  url: https://conda.anaconda.org/conda-forge/noarch/antlr-python-runtime-4.11.1-pyhd8ed1ab_0.tar.bz2
+  hash:
+    md5: 15109c4977d39ad7aa3423f57243e286
+    sha256: 1a2b5dabf00acfa8e34211a2c3b29d261f9eae0511facd24febc1f74095bdaaf
+  category: main
+  optional: false
+- name: antlr-python-runtime
+  version: 4.11.1
+  manager: conda
+  platform: osx-64
+  dependencies:
+    python: '>=3.6'
+  url: https://conda.anaconda.org/conda-forge/noarch/antlr-python-runtime-4.11.1-pyhd8ed1ab_0.tar.bz2
+  hash:
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+    sha256: 1a2b5dabf00acfa8e34211a2c3b29d261f9eae0511facd24febc1f74095bdaaf
+  category: main
+  optional: false
+- name: anyio
+  version: 4.4.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    exceptiongroup: '>=1.0.2'
+    idna: '>=2.8'
+    python: '>=3.8'
+    sniffio: '>=1.1'
+    typing_extensions: '>=4.1'
+  url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
+  hash:
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+    sha256: 84ac9429812495f12939ab4994f2634f7cacd254f6234a0c2c0243daed15a7ee
+  category: main
+  optional: false
+- name: anyio
+  version: 4.4.0
+  manager: conda
+  platform: osx-64
+  dependencies:
+    exceptiongroup: '>=1.0.2'
+    idna: '>=2.8'
+    python: '>=3.8'
+    sniffio: '>=1.1'
+    typing_extensions: '>=4.1'
+  url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
+  hash:
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+    sha256: 84ac9429812495f12939ab4994f2634f7cacd254f6234a0c2c0243daed15a7ee
+  category: main
+  optional: false
+- name: appnope
+  version: 0.1.4
+  manager: conda
+  platform: osx-64
+  dependencies:
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/appnope-0.1.4-pyhd8ed1ab_0.conda
+  hash:
+    md5: cc4834a9ee7cc49ce8d25177c47b10d8
+    sha256: 45ae2d41f4a4dcf8707633d3d7ae376fc62f0c09b1d063c3049c3f6f8c911670
+  category: main
+  optional: false
+- name: argon2-cffi
+  version: 23.1.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    argon2-cffi-bindings: ''
+    python: '>=3.7'
+    typing-extensions: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda
+  hash:
+    md5: 3afef1f55a1366b4d3b6a0d92e2235e4
+    sha256: 130766446f5507bd44df957b6b5c898a8bd98f024bb426ed6cb9ff1ad67fc677
+  category: main
+  optional: false
+- name: argon2-cffi
+  version: 23.1.0
+  manager: conda
+  platform: osx-64
+  dependencies:
+    argon2-cffi-bindings: ''
+    python: '>=3.7'
+    typing-extensions: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/argon2-cffi-23.1.0-pyhd8ed1ab_0.conda
+  hash:
+    md5: 3afef1f55a1366b4d3b6a0d92e2235e4
+    sha256: 130766446f5507bd44df957b6b5c898a8bd98f024bb426ed6cb9ff1ad67fc677
+  category: main
+  optional: false
+- name: argon2-cffi-bindings
+  version: 21.2.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    cffi: '>=1.0.1'
+    libgcc-ng: '>=12'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.*
+  url: https://conda.anaconda.org/conda-forge/linux-64/argon2-cffi-bindings-21.2.0-py310h2372a71_4.conda
+  hash:
+    md5: 68ee85860502d53c8cbfa0e4cef0f6cb
+    sha256: af94cc9b4dcaa164e1cc7e7fa0b9eb56b87ea3dc6e093c8ef6c31cfa02d9ffdf
+  category: main
+  optional: false
+- name: argon2-cffi-bindings
+  version: 21.2.0
+  manager: conda
+  platform: osx-64
+  dependencies:
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+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.*
+  url: https://conda.anaconda.org/conda-forge/osx-64/argon2-cffi-bindings-21.2.0-py310h6729b98_4.conda
+  hash:
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+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.8'
+    python-dateutil: '>=2.7.0'
+    types-python-dateutil: '>=2.8.10'
+  url: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda
+  hash:
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+  category: main
+  optional: false
+- name: arrow
+  version: 1.3.0
+  manager: conda
+  platform: osx-64
+  dependencies:
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+    python-dateutil: '>=2.7.0'
+    types-python-dateutil: '>=2.8.10'
+  url: https://conda.anaconda.org/conda-forge/noarch/arrow-1.3.0-pyhd8ed1ab_0.conda
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+  optional: false
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+  platform: linux-64
+  dependencies:
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+  url: https://conda.anaconda.org/conda-forge/noarch/asciitree-0.3.3-py_2.tar.bz2
+  hash:
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+  optional: false
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+  platform: osx-64
+  dependencies:
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+  url: https://conda.anaconda.org/conda-forge/noarch/asciitree-0.3.3-py_2.tar.bz2
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+  category: main
+  optional: false
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+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.5'
+    six: '>=1.12.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.4.1-pyhd8ed1ab_0.conda
+  hash:
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+  platform: osx-64
+  dependencies:
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+    six: '>=1.12.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/asttokens-2.4.1-pyhd8ed1ab_0.conda
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+  manager: conda
+  platform: linux-64
+  dependencies:
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+    six: '>=1.6.1,<2.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/astunparse-1.6.3-pyhd8ed1ab_0.tar.bz2
+  hash:
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+    six: '>=1.6.1,<2.0'
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+  category: main
+  optional: false
+- name: async-lru
+  version: 2.0.4
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.8'
+    typing_extensions: '>=4.0.0'
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+  category: main
+  optional: false
+- name: async-lru
+  version: 2.0.4
+  manager: conda
+  platform: osx-64
+  dependencies:
+    python: '>=3.8'
+    typing_extensions: '>=4.0.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/async-lru-2.0.4-pyhd8ed1ab_0.conda
+  hash:
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+  manager: conda
+  platform: linux-64
+  dependencies:
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+    typing-extensions: '>=3.6.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/async-timeout-4.0.3-pyhd8ed1ab_0.conda
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+  manager: conda
+  platform: osx-64
+  dependencies:
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+    typing-extensions: '>=3.6.5'
+  url: https://conda.anaconda.org/conda-forge/noarch/async-timeout-4.0.3-pyhd8ed1ab_0.conda
+  hash:
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+  optional: false
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+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.7'
+  url: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
+  hash:
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+  optional: false
+- name: attrs
+  version: 23.2.0
+  manager: conda
+  platform: osx-64
+  dependencies:
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+  url: https://conda.anaconda.org/conda-forge/noarch/attrs-23.2.0-pyh71513ae_0.conda
+  hash:
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+  manager: conda
+  platform: linux-64
+  dependencies:
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+    pytz: ''
+    setuptools: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda
+  hash:
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+  category: main
+  optional: false
+- name: babel
+  version: 2.14.0
+  manager: conda
+  platform: osx-64
+  dependencies:
+    python: '>=3.7'
+    pytz: ''
+    setuptools: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/babel-2.14.0-pyhd8ed1ab_0.conda
+  hash:
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+    sha256: 8584e3da58e92b72641c89ff9b98c51f0d5dbe76e527867804cbdf03ac91d8e6
+  category: main
+  optional: false
+- name: beautifulsoup4
+  version: 4.12.3
+  manager: conda
+  platform: linux-64
+  dependencies:
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From 02955de9efb0c7a577315718bae00d33e1abc69e Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 1 Jul 2024 21:40:22 +0100
Subject: [PATCH 071/141] add notebook reviewers

---
 notebook.ipynb | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/notebook.ipynb b/notebook.ipynb
index 0e22799..7a934fe 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -89,6 +89,8 @@
     "#### Notebook\n",
     "* James Byrne (author), British Antarctic Survey, [@JimCircadian](https://github.com/JimCircadian), [ORCID](https://orcid.org/0000-0003-3731-2377)\n",
     "* Bryn Noel Ubald (author), British Antarctic Survey, [@bnubald](https://github.com/bnubald), [ORCID](https://orcid.org/0000-0002-0206-7140)\n",
+    "* Wei Ji (reviewer), Development Seed, [@weiji14](https://github.com/weiji14), [ORCID](https://orcid.org/0000-0003-2354-1988)\n",
+    "* William Gregory (reviewer), Princeton University, [@William-gregory](https://github.com/William-gregory), [ORCID](https://orcid.org/0000-0001-8176-1642)\n",
     "\n",
     "#### Modelling codebase\n",
     "* James Byrne (Code author)\n",

From 324d9d9cbe78a35c6e937a046cd45f2e5ac4030a Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 1 Jul 2024 21:41:14 +0100
Subject: [PATCH 072/141] add notebook editor

---
 notebook.ipynb | 1 +
 1 file changed, 1 insertion(+)

diff --git a/notebook.ipynb b/notebook.ipynb
index 7a934fe..f56b7e8 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -91,6 +91,7 @@
     "* Bryn Noel Ubald (author), British Antarctic Survey, [@bnubald](https://github.com/bnubald), [ORCID](https://orcid.org/0000-0002-0206-7140)\n",
     "* Wei Ji (reviewer), Development Seed, [@weiji14](https://github.com/weiji14), [ORCID](https://orcid.org/0000-0003-2354-1988)\n",
     "* William Gregory (reviewer), Princeton University, [@William-gregory](https://github.com/William-gregory), [ORCID](https://orcid.org/0000-0001-8176-1642)\n",
+    "* Anne Fouilloux (editor), Simula Research Laboratory, [@annefou](https://github.com/annefou), [ORCID](https://orcid.org/0000-0002-1784-2920)\n",
     "\n",
     "#### Modelling codebase\n",
     "* James Byrne (Code author)\n",

From 169e5478b24e79eb339b94c9b5009d657c18d2da Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 1 Jul 2024 21:45:08 +0100
Subject: [PATCH 073/141] remove empty spaces in the heading section

---
 notebook.ipynb | 6 ------
 1 file changed, 6 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index f56b7e8..b137fa9 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -31,7 +31,6 @@
     " * [6. Visualisation](#-6.-Visualisation) of the prediction output.\n",
     "\n",
     "### Compatible platforms\n",
-    "\n",
     "The `IceNet` library is designed to be run within a Unix environment, and, as such, this notebook has been tested on the following OS platforms:\n",
     "* Linux\n",
     "* macOS (Intel and Apple Silicon)\n",
@@ -72,9 +71,7 @@
     "| TensorFlow  | Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Greg S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Rafal Jozefowicz, Yangqing Jia, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Mike Schuster, Rajat Monga, Sherry Moore, Derek Murray, Chris Olah, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng. TensorFlow: Large-scale machine learning on heterogeneous systems, 2015. Software available from tensorflow.org. |\n",
     "| xarray      | Hoyer, S. & Hamman, J., (2017). xarray: N-D labeled Arrays and Datasets in Python. Journal of Open Research Software. 5(1), p.10. DOI: [https://doi.org/10.5334/jors.148](https://doi.org/10.5334/jors.148) |\n",
     "\n",
-    "\n",
     "#### Data Sources\n",
-    "\n",
     "The data sources used in this notebook rely on the following:\n",
     "* [ERA5](https://doi.org/10.24381/cds.adbb2d47):\n",
     "    Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., Thépaut, J-N. (2023): ERA5 hourly data on single levels from 1940 to present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS), DOI: [10.24381/cds.adbb2d47](https://doi.org/10.24381/cds.adbb2d47) (Accessed on 02-JUN-2024)\n",
@@ -83,7 +80,6 @@
     "* [OSI SAF](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013):\n",
     "    OSI SAF Global sea ice concentration climate data record 1978-2020 (v3.0, 2022), OSI-450-a, doi:[10.15770/EUM_SAF_OSI_0013](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013). EUMETSAT Ocean and Sea Ice Satellite Application Facility. Data extracted from OSI SAF FTP server: (01-JAN-2020 to 30-APR-2020) accessed 02-Jun-2024.\n",
     "\n",
-    "\n",
     "### Contributions\n",
     "\n",
     "#### Notebook\n",
@@ -104,7 +100,6 @@
     "Contact us at either _bryald \\<at\\> bas.ac.uk_ or _jambyr \\<at\\> bas.ac.uk_ for anything else...\n",
     ":::\n",
     "\n",
-    "\n",
     "#### Modelling publications\n",
     "Andersson, T.R., Hosking, J.S., Pérez-Ortiz, M. et al. Seasonal Arctic sea ice forecasting with probabilistic deep learning. Nat Commun 12, 5124 (2021). https://doi.org/10.1038/s41467-021-25257-4\n",
     "\n",
@@ -115,7 +110,6 @@
     ":::\n",
     "\n",
     "#### Source code\n",
-    "\n",
     "There are multiple relevant code bases depending on the usage scenario, but the main python IceNet library is located [here](https://github.com/icenet-ai/icenet). If of interest, other related repositories can be found in the [icenet-ai](https://github.com/icenet-ai/) github organisation.\n",
     "\n",
     "#### Involved organisations\n",

From fd7632f42cebc65d968b3381212e3904805fcc0a Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 1 Jul 2024 22:34:54 +0100
Subject: [PATCH 074/141] add thumbnail.png

---
 images/thumbnail.png | Bin 0 -> 75125 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 create mode 100644 images/thumbnail.png

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From 85faa661b429c361e57e025fb1e7389842d9b39a Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 1 Jul 2024 22:36:50 +0100
Subject: [PATCH 075/141] update readme

---
 README.md | 69 +++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 69 insertions(+)

diff --git a/README.md b/README.md
index 917c9d7..f08c989 100644
--- a/README.md
+++ b/README.md
@@ -9,3 +9,72 @@
 <div align="center">
     <h1>Sea ice forecasting using the IceNet library</h1>
 </div>
+
+<p align="center">
+    <a href="https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/blob/main/LICENSE">
+        <img alt="License" src="https://img.shields.io/badge/License-MIT-yellow.svg">
+    </a>
+    <a href="https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/actions/workflows/render.yaml">
+        <img alt="render" src="https://github.com/eds-book-gallery/ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef/actions/workflows/render.yaml/badge.svg">
+    </a>
+    <a href="https://github.com/alan-turing-institute/environmental-ds-book/issues/239">
+        <img alt="review" src="https://img.shields.io/badge/view-review-purple">
+    </a>
+    <br/>
+</p>
+
+<p align="center">
+    <a href="http://mybinder.org/v2/gh/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/main?labpath=notebook.ipynb">
+        <img alt="binder" src="https://mybinder.org/badge_logo.svg">
+    </a>
+    <a href="https://replay.notebooks.egi.eu/v2/gh/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/main?labpath=notebook.ipynb">
+        <img alt="binder" src="https://img.shields.io/badge/launch-EGI%20binder-F5A252.svg?logo=data:image/png;base64,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">
+    </a>
+</p>
+
+<p align="center">
+    <a href="https://w3id.org/ro-id/c9df67a3-0d77-4029-8556-e62fcc95a35b">
+        <img alt="rohub" src="https://img.shields.io/badge/RoHub-FAIR_Executable_Research_Object-2ea44f?logo=Open+Access&logoColor=blue">
+    </a>
+    <a href="https://zenodo.org/badge/latestdoi/777128102">
+        <img alt="doi" src="https://zenodo.org/badge/777128102.svg">
+    </a>
+</p>
+
+<p align="center">
+<img src="images/thumbnail.png" alt="thumbnail" width="500"/>
+</p>
+
+# How to run
+
+## Running on Binder
+The notebook is designed to be launched from Binder. 
+
+Click the **Launch Binder** button at the top level of the repository
+
+## Running locally
+You may also download the notebook from GitHub to run it locally:
+1. Open your terminal
+
+2. Check your conda install with `conda --version`. If you don't have conda, install it by following these instructions (see [here](https://docs.conda.io/en/latest/miniconda.html))
+
+3. Clone the repository
+    ```bash
+    git clone https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b.git
+    ```
+
+4. Move into the cloned repository
+    ```bash
+    cd 67a1e320-7c47-4ea9-8df8-e868326bc90b
+    ```
+
+5. Create and activate your environment from the `.binder/environment.yml` file
+    ```bash
+    conda env create -f .binder/environment.yml
+    conda activate 67a1e320-7c47-4ea9-8df8-e868326bc90b
+    ```  
+
+6. Launch the jupyter interface of your preference, notebook, `jupyter notebook` or lab `jupyter lab`
+
+# Credits
+The **How to run** section was adapted from the [Project Pythia Cookbook](https://cookbooks.projectpythia.org/) project.
\ No newline at end of file

From 2de84a1f0a561831ce0cbcaa4d2bd827c55fdc04 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 1 Jul 2024 22:37:23 +0100
Subject: [PATCH 076/141] replace how to import references for modelling
 publication

---
 notebook.ipynb | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index b137fa9..b977428 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -101,7 +101,11 @@
     ":::\n",
     "\n",
     "#### Modelling publications\n",
-    "Andersson, T.R., Hosking, J.S., Pérez-Ortiz, M. et al. Seasonal Arctic sea ice forecasting with probabilistic deep learning. Nat Commun 12, 5124 (2021). https://doi.org/10.1038/s41467-021-25257-4\n",
+    "```{bibliography}\n",
+    "  :style: plain\n",
+    "  :list: bullet\n",
+    "  :filter: topic % \"67a1e320-7c47-4ea9-8df8-e868326bc90b\"\n",
+    "```\n",
     "\n",
     ":::{note}\n",
     "The original paper and notebook used a combination of climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration. Since then, the original code has been refactored into a new `icenet` library as showcased in this notebook.\n",

From 0bbc0ae909a736bcf2751218cdb71464a05372e6 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 1 Jul 2024 22:43:45 +0100
Subject: [PATCH 077/141] add how to cite md

---
 notebook.ipynb | 10 ++++++++++
 1 file changed, 10 insertions(+)

diff --git a/notebook.ipynb b/notebook.ipynb
index b977428..9d48cda 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -1059,6 +1059,16 @@
     "* [Library extension](https://github.com/icenet-ai/icenet-notebooks/blob/main/05.library_extension.ipynb): Understand why and how to extend the IceNet library."
    ]
   },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "## Citing this Notebook"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "Please see [CITATION.cff](https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/blob/main/CITATION.cff) for the full citation information. The citation file can be exported to APA or BibTex formats (learn more [here](https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-citation-files))."
+  },
   {
    "cell_type": "markdown",
    "metadata": {},

From 14acdfaf668a8c11725234131ca80db790945315 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 1 Jul 2024 22:46:01 +0100
Subject: [PATCH 078/141] add cell with notebook version

---
 notebook.ipynb | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/notebook.ipynb b/notebook.ipynb
index 9d48cda..bfd482c 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -1099,6 +1099,8 @@
    },
    "source": [
     "from datetime import date\n",
+    "\n",
+    "print('Notebook repository version: v1.0.0')\n",
     "print(f'Last tested: {date.today()}')"
    ],
    "outputs": [],

From 1456e2ecc6ae46a7ed03667e7dce1d42e718d074 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 1 Jul 2024 22:50:34 +0100
Subject: [PATCH 079/141] add concept DOI

---
 CITATION.cff | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/CITATION.cff b/CITATION.cff
index b1dc851..dd374b6 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -14,6 +14,9 @@ authors:
     affiliation: British Antarctic Survey
     orcid: "https://orcid.org/0000-0002-0206-7140"
 identifiers:
+  - type: doi
+    value: 10.5281/zenodo.12613298
+    description: The concept DOI for the collection containing all versions of the notebook.
   - type: doi
     value: 10.1038/s41467-021-25257-4
     description: Original paper on IceNet

From 5fcb8301c60428e99b0d3f4f77a035240f617f07 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 1 Jul 2024 22:51:21 +0100
Subject: [PATCH 080/141] remove commit number

---
 CITATION.cff | 1 -
 1 file changed, 1 deletion(-)

diff --git a/CITATION.cff b/CITATION.cff
index dd374b6..386a372 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -48,6 +48,5 @@ keywords:
   - unet
   - deep learning
 license: MIT
-commit: "4c541eb"
 version: "1.0.0"
 date-released: "2024-06-26"

From 7754c137d594d75642a28c126aa9ff6b70fee3e4 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 1 Jul 2024 22:51:42 +0100
Subject: [PATCH 081/141] remove date-released

---
 CITATION.cff | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/CITATION.cff b/CITATION.cff
index 386a372..bf95bc6 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -48,5 +48,4 @@ keywords:
   - unet
   - deep learning
 license: MIT
-version: "1.0.0"
-date-released: "2024-06-26"
+version: "1.0.0"
\ No newline at end of file

From d7a3d9c68d77891245011bfdba86193778f5e044 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 1 Jul 2024 22:52:57 +0100
Subject: [PATCH 082/141] move version after authors

---
 CITATION.cff | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/CITATION.cff b/CITATION.cff
index bf95bc6..3d341a3 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -1,5 +1,5 @@
 cff-version: 1.2.0
-title: icenet-edsbook
+title: "Sea ice forecasting using the IceNet library (Jupyter Notebook) published in the Environmental Data Science book"
 message: "If you use this software, please cite it as below."
 type: software
 authors:
@@ -13,6 +13,7 @@ authors:
     email: bryald@bas.ac.uk
     affiliation: British Antarctic Survey
     orcid: "https://orcid.org/0000-0002-0206-7140"
+version: v1.0.0
 identifiers:
   - type: doi
     value: 10.5281/zenodo.12613298
@@ -48,4 +49,3 @@ keywords:
   - unet
   - deep learning
 license: MIT
-version: "1.0.0"
\ No newline at end of file

From 5b383f62d0db2538c03ac19b85cbe0bacfd4e4c5 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Mon, 1 Jul 2024 22:53:59 +0100
Subject: [PATCH 083/141] add This EDS book notebook contributors

---
 CITATION.cff | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/CITATION.cff b/CITATION.cff
index 3d341a3..88805a8 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -13,6 +13,8 @@ authors:
     email: bryald@bas.ac.uk
     affiliation: British Antarctic Survey
     orcid: "https://orcid.org/0000-0002-0206-7140"
+  - name: "This EDS book notebook contributors"
+    website: "https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/graphs/contributors"
 version: v1.0.0
 identifiers:
   - type: doi

From c6a6d58ca80ba09d572789f85b575ad101158a7a Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Wed, 3 Jul 2024 09:47:43 +0100
Subject: [PATCH 084/141] add badges and split heading sections

---
 notebook.ipynb | 43 +++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 43 insertions(+)

diff --git a/notebook.ipynb b/notebook.ipynb
index bfd482c..4a78bda 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -7,6 +7,49 @@
    },
    "source": [
     "# Sea ice forecasting using the IceNet library\n",
+    "\n",
+    "{bdg-primary}`Polar`\n",
+    "{bdg-secondary}`Modelling`\n",
+    "{bdg-warning}`Standard`\n",
+    "{bdg-info}`Python`\n",
+    "\n",
+    "<p align=\"left\">\n",
+    "    <a href=\"https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/blob/main/LICENSE\">\n",
+    "        <img alt=\"license\" src=\"https://img.shields.io/badge/license-MIT-yellow.svg\">\n",
+    "    </a>\n",
+    "    <a href=\"https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/actions/workflows/render.yaml\">\n",
+    "        <img alt=\"render\" src=\"https://github.com/eds-book-gallery/ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef/actions/workflows/render.yaml/badge.svg\">\n",
+    "    </a>\n",
+    "    <a href=\"https://github.com/alan-turing-institute/environmental-ds-book/issues/239\">\n",
+    "        <img alt=\"review\" src=\"https://img.shields.io/badge/view-review-purple\">\n",
+    "    </a>\n",
+    "    <br/>\n",
+    "</p>\n",
+    "\n",
+    "<p align=\"left\">\n",
+    "    <a href=\"http://mybinder.org/v2/gh/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/main?labpath=notebook.ipynb\">\n",
+    "        <img alt=\"binder\" src=\"https://mybinder.org/badge_logo.svg\">\n",
+    "    </a>\n",
+    "    <a href=\"https://replay.notebooks.egi.eu/v2/gh/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/main?labpath=notebook.ipynb\">\n",
+    "        <img alt=\"binder\" src=\"https://img.shields.io/badge/launch-EGI%20binder-F5A252.svg?logo=data:image/png;base64,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\">\n",
+    "    </a>\n",
+    "    <br/>\n",
+    "</p>\n",
+    "\n",
+    "<p align=\"left\">\n",
+    "    <a href=\"https://w3id.org/ro-id/c9df67a3-0d77-4029-8556-e62fcc95a35b\">\n",
+    "        <img alt=\"rohub\" src=\"https://img.shields.io/badge/RoHub-FAIR_Executable_Research_Object-2ea44f?logo=Open+Access&logoColor=blue\">\n",
+    "    </a>\n",
+    "    <a href=\"https://zenodo.org/badge/latestdoi/777128102\">\n",
+    "        <img alt=\"doi\" src=\"https://zenodo.org/badge/777128102.svg\">\n",
+    "    </a>\n",
+    "</p>"
+   ]
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
     "\n",
     "## Context\n",
     "### Purpose\n",

From da73b663b5126502375cf75bbe1c976c0e1995e5 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Wed, 3 Jul 2024 10:10:10 +0100
Subject: [PATCH 085/141] set hide-input for import libraries and hide-output
 in model arch

---
 notebook.ipynb | 212 ++++++++++++++++++++++++++++---------------------
 1 file changed, 123 insertions(+), 89 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 4a78bda..9158311 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -3,7 +3,10 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "source": [
     "# Sea ice forecasting using the IceNet library\n",
@@ -47,8 +50,8 @@
    ]
   },
   {
-   "metadata": {},
    "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "\n",
     "## Context\n",
@@ -181,9 +184,21 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "editable": true,
+    "jupyter": {
+     "outputs_hidden": false
+    },
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": [
+     "hide-input"
+    ]
    },
+   "outputs": [],
    "source": [
     "import os\n",
     "import warnings\n",
@@ -204,9 +219,7 @@
     "logging.getLogger('icenet').setLevel(logging.INFO)\n",
     "logging.getLogger('dask').setLevel(logging.ERROR)\n",
     "logging.getLogger('distributed').setLevel(logging.ERROR)"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -217,22 +230,22 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "from icenet.data.sic.mask import Masks\n",
     "from icenet.data.sic.osisaf import SICDownloader"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "%env PYTHONWARNINGS=ignore"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -261,13 +274,19 @@
   },
   {
    "cell_type": "code",
-   "metadata": {},
+   "execution_count": null,
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
+   "outputs": [],
    "source": [
     "masks = Masks(north=False, south=True)\n",
     "masks.generate(save_polarhole_masks=False)"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -457,7 +476,9 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "sic = SICDownloader(\n",
     "    dates=[\n",
@@ -471,9 +492,7 @@
     ")\n",
     "\n",
     "sic.download()"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -524,7 +543,9 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "processing_dates = dict(\n",
     "    train=[pd.to_datetime(el) for el in pd.date_range(\"2020-01-01\", \"2020-01-04\")],\n",
@@ -532,9 +553,7 @@
     "    test=[pd.to_datetime(el) for el in pd.date_range(\"2020-04-01\", \"2020-04-02\")],\n",
     ")\n",
     "processed_name = \"notebook_api_data\""
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -552,18 +571,20 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "from icenet.data.processors.era5 import IceNetERA5PreProcessor # Unused in this demonstrator notebook\n",
     "from icenet.data.processors.meta import IceNetMetaPreProcessor\n",
     "from icenet.data.processors.osi import IceNetOSIPreProcessor"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "osi = IceNetOSIPreProcessor(\n",
     "    [\"siconca\"],                # Absolute normalised variables\n",
@@ -582,9 +603,7 @@
     "    north=False,\n",
     "    south=True,\n",
     ")"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -618,7 +637,9 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "osi.init_source_data(\n",
     "    lag_days=1,\n",
@@ -626,9 +647,7 @@
     "osi.process()\n",
     "\n",
     "meta.process()"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -648,7 +667,9 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "from icenet.data.loaders import IceNetDataLoaderFactory\n",
     "\n",
@@ -668,9 +689,7 @@
     "    output_batch_size=1,\n",
     "    generate_workers=1\n",
     ")"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -681,12 +700,12 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "dl._config"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -697,13 +716,13 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "%%time\n",
     "dl.generate()"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -714,23 +733,23 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "x, y, sw = dl.generate_sample(pd.Timestamp(\"2020-04-01\"))"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "print(f\"type(x): {type(x)}, x.shape: {x.shape}\")\n",
     "print(f\"type(y): {type(y)}, y.shape: {y.shape}\")\n",
     "print(f\"type(sw): {type(sw)}, sw.shape: {sw.shape}\")"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -751,16 +770,16 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "from icenet.data.dataset import IceNetDataSet\n",
     "\n",
     "dataset_config = f\"dataset_config.{dataset_name}.json\"\n",
     "dataset = IceNetDataSet(dataset_config, batch_size=1)\n",
     "strategy = tf.distribute.get_strategy()"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -771,12 +790,12 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "dataset._config"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -787,12 +806,12 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "dataset.get_data_loader()"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -803,7 +822,17 @@
   },
   {
    "cell_type": "code",
-   "metadata": {},
+   "execution_count": null,
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": [
+     "hide-output"
+    ]
+   },
+   "outputs": [],
    "source": [
     "%%time\n",
     "from icenet.model.train import train_model\n",
@@ -821,9 +850,7 @@
     "    training_verbosity=2,\n",
     "    workers=1\n",
     ")"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -846,7 +873,9 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "%%time\n",
     "from icenet.model.predict import predict_forecast\n",
@@ -866,9 +895,7 @@
     "                 for el in pd.date_range(\"2020-04-01\", \"2020-04-02\")],\n",
     "    test_set=True,\n",
     ")"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -892,21 +919,21 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "!printf \"2020-04-01\\n2020-04-02\" | tee predict_dates.csv"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "!icenet_output -m -o ./results/predict custom_run_forecast api_dataset predict_dates.csv"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -936,7 +963,9 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "from icenet.plotting.video import xarray_to_video as xvid\n",
     "from icenet.data.sic.mask import Masks\n",
@@ -969,9 +998,7 @@
     "\n",
     "    anim = xvid(fc, 15, figsize=4, mask=land_mask, colorbar_label=\"Sea-ice concentration fraction\")\n",
     "    display(HTML(anim.to_jshtml()))"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -986,12 +1013,12 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "plot_result(\"results/predict/custom_run_forecast.nc\")"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1054,12 +1081,12 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "plot_result(\"results/predict/good_forecast.nc\")"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1103,14 +1130,18 @@
    ]
   },
   {
-   "metadata": {},
    "cell_type": "markdown",
-   "source": "## Citing this Notebook"
+   "metadata": {},
+   "source": [
+    "## Citing this Notebook"
+   ]
   },
   {
-   "metadata": {},
    "cell_type": "markdown",
-   "source": "Please see [CITATION.cff](https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/blob/main/CITATION.cff) for the full citation information. The citation file can be exported to APA or BibTex formats (learn more [here](https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-citation-files))."
+   "metadata": {},
+   "source": [
+    "Please see [CITATION.cff](https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/blob/main/CITATION.cff) for the full citation information. The citation file can be exported to APA or BibTex formats (learn more [here](https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-citation-files))."
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1126,28 +1157,31 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {},
+   "outputs": [],
    "source": [
     "import icenet\n",
     "icenet_version = icenet.__version__\n",
     "print(f'IceNet version: {icenet_version}')"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
+   "outputs": [],
    "source": [
     "from datetime import date\n",
     "\n",
     "print('Notebook repository version: v1.0.0')\n",
     "print(f'Last tested: {date.today()}')"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   }
  ],
  "metadata": {
@@ -1166,7 +1200,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.14"
+   "version": "3.9.19"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {

From d066a7da45da643636bbeea8145359a44cf43d6b Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Wed, 3 Jul 2024 10:12:48 +0100
Subject: [PATCH 086/141] move acronyms and references

---
 notebook.ipynb | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 9158311..9004bce 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -51,7 +51,13 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "\n",
     "## Context\n",

From e574fd6e69a88e5ca4e39bff2811452915b8159f Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Wed, 3 Jul 2024 10:17:18 +0100
Subject: [PATCH 087/141] fix note rendering

---
 notebook.ipynb | 138 +++++++++++++++++++++++++++++++------------------
 1 file changed, 88 insertions(+), 50 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 9004bce..3206870 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -91,6 +91,45 @@
     "\n",
     "In terms of hardware, this notebook (and IceNet in general) does not require a GPU, however, when attempting a larger training run, the use of a GPU is highly recommended.\n",
     "\n",
+    "### Contributions\n",
+    "\n",
+    "#### Notebook\n",
+    "* James Byrne (author), British Antarctic Survey, [@JimCircadian](https://github.com/JimCircadian), [ORCID](https://orcid.org/0000-0003-3731-2377)\n",
+    "* Bryn Noel Ubald (author), British Antarctic Survey, [@bnubald](https://github.com/bnubald), [ORCID](https://orcid.org/0000-0002-0206-7140)\n",
+    "* Wei Ji (reviewer), Development Seed, [@weiji14](https://github.com/weiji14), [ORCID](https://orcid.org/0000-0003-2354-1988)\n",
+    "* William Gregory (reviewer), Princeton University, [@William-gregory](https://github.com/William-gregory), [ORCID](https://orcid.org/0000-0001-8176-1642)\n",
+    "* Anne Fouilloux (editor), Simula Research Laboratory, [@annefou](https://github.com/annefou), [ORCID](https://orcid.org/0000-0002-1784-2920)\n",
+    "\n",
+    "#### Modelling codebase\n",
+    "* James Byrne (Code author)\n",
+    "* Tom Andersson (Science author)\n",
+    "* Bryn Noel Ubald (Code maintainer and contributor)\n",
+    "\n",
+    ":::{note}\n",
+    "__More in-depth notebooks on using IceNet are available [in this repository](https://github.com/icenet-ai/icenet-notebooks)__, including the use of ensemble modelling, and library extension to use different backends and neural network models.\n",
+    "\n",
+    "Contact us at either _bryald \\<at\\> bas.ac.uk_ or _jambyr \\<at\\> bas.ac.uk_ for anything else...\n",
+    ":::\n",
+    "\n",
+    "#### Modelling publications\n",
+    "```{bibliography}\n",
+    "  :style: plain\n",
+    "  :list: bullet\n",
+    "  :filter: topic % \"67a1e320-7c47-4ea9-8df8-e868326bc90b\"\n",
+    "```\n",
+    "\n",
+    ":::{note}\n",
+    "The original paper and notebook used a combination of climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration. Since then, the original code has been refactored into a new `icenet` library as showcased in this notebook.\n",
+    "\n",
+    "This library supports sea ice forecasting on a daily resolution rather than monthly-averaged. It has been developed significantly since the original paper to operationalise the code, and to that end, there are multiple ways of interacting with the library to help enable development of sea ice forecasting and facilitate model development. More of these interfaces and use-case scenarios are covered in the [icenet-notebooks](https://github.com/icenet-ai/icenet-notebooks) repository.\n",
+    ":::\n",
+    "\n",
+    "#### Source code\n",
+    "There are multiple relevant code bases depending on the usage scenario, but the main python IceNet library is located [here](https://github.com/icenet-ai/icenet). If of interest, other related repositories can be found in the [icenet-ai](https://github.com/icenet-ai/) github organisation.\n",
+    "\n",
+    "#### Involved organisations\n",
+    "The Alan Turing Institute and British Antarctic Survey\n",
+    "\n",
     "### Acronyms\n",
     "\n",
     "<center>\n",
@@ -130,46 +169,7 @@
     "* [ORAS5](https://doi.org/10.48670/moi-00024):\n",
     "    Generated using E.U. Copernicus Marine Service Information;. DOI: [10.48670/moi-00024](https://doi.org/10.48670/moi-00024) (Accessed on 07-JUN-2024)\n",
     "* [OSI SAF](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013):\n",
-    "    OSI SAF Global sea ice concentration climate data record 1978-2020 (v3.0, 2022), OSI-450-a, doi:[10.15770/EUM_SAF_OSI_0013](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013). EUMETSAT Ocean and Sea Ice Satellite Application Facility. Data extracted from OSI SAF FTP server: (01-JAN-2020 to 30-APR-2020) accessed 02-Jun-2024.\n",
-    "\n",
-    "### Contributions\n",
-    "\n",
-    "#### Notebook\n",
-    "* James Byrne (author), British Antarctic Survey, [@JimCircadian](https://github.com/JimCircadian), [ORCID](https://orcid.org/0000-0003-3731-2377)\n",
-    "* Bryn Noel Ubald (author), British Antarctic Survey, [@bnubald](https://github.com/bnubald), [ORCID](https://orcid.org/0000-0002-0206-7140)\n",
-    "* Wei Ji (reviewer), Development Seed, [@weiji14](https://github.com/weiji14), [ORCID](https://orcid.org/0000-0003-2354-1988)\n",
-    "* William Gregory (reviewer), Princeton University, [@William-gregory](https://github.com/William-gregory), [ORCID](https://orcid.org/0000-0001-8176-1642)\n",
-    "* Anne Fouilloux (editor), Simula Research Laboratory, [@annefou](https://github.com/annefou), [ORCID](https://orcid.org/0000-0002-1784-2920)\n",
-    "\n",
-    "#### Modelling codebase\n",
-    "* James Byrne (Code author)\n",
-    "* Tom Andersson (Science author)\n",
-    "* Bryn Noel Ubald (Code maintainer and contributor)\n",
-    "\n",
-    ":::{note}\n",
-    "__More in-depth notebooks on using IceNet are available [in this repository](https://github.com/icenet-ai/icenet-notebooks)__, including the use of ensemble modelling, and library extension to use different backends and neural network models.\n",
-    "\n",
-    "Contact us at either _bryald \\<at\\> bas.ac.uk_ or _jambyr \\<at\\> bas.ac.uk_ for anything else...\n",
-    ":::\n",
-    "\n",
-    "#### Modelling publications\n",
-    "```{bibliography}\n",
-    "  :style: plain\n",
-    "  :list: bullet\n",
-    "  :filter: topic % \"67a1e320-7c47-4ea9-8df8-e868326bc90b\"\n",
-    "```\n",
-    "\n",
-    ":::{note}\n",
-    "The original paper and notebook used a combination of climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration. Since then, the original code has been refactored into a new `icenet` library as showcased in this notebook.\n",
-    "\n",
-    "This library supports sea ice forecasting on a daily resolution rather than monthly-averaged. It has been developed significantly since the original paper to operationalise the code, and to that end, there are multiple ways of interacting with the library to help enable development of sea ice forecasting and facilitate model development. More of these interfaces and use-case scenarios are covered in the [icenet-notebooks](https://github.com/icenet-ai/icenet-notebooks) repository.\n",
-    ":::\n",
-    "\n",
-    "#### Source code\n",
-    "There are multiple relevant code bases depending on the usage scenario, but the main python IceNet library is located [here](https://github.com/icenet-ai/icenet). If of interest, other related repositories can be found in the [icenet-ai](https://github.com/icenet-ai/) github organisation.\n",
-    "\n",
-    "#### Involved organisations\n",
-    "The Alan Turing Institute and British Antarctic Survey"
+    "    OSI SAF Global sea ice concentration climate data record 1978-2020 (v3.0, 2022), OSI-450-a, doi:[10.15770/EUM_SAF_OSI_0013](http://dx.doi.org/10.15770/EUM_SAF_OSI_0013). EUMETSAT Ocean and Sea Ice Satellite Application Facility. Data extracted from OSI SAF FTP server: (01-JAN-2020 to 30-APR-2020) accessed 02-Jun-2024."
    ]
   },
   {
@@ -318,7 +318,13 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     ":::{note}\n",
     "Since both the ERA5 and ORAS5 data downloads require registration before download, this demonstrator will only download and use observed sea ice concentration data for training.\n",
@@ -465,7 +471,13 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "The sea-ice concentration data use for training is obtained from [OSI SAF](https://osi-saf.eumetsat.int/products/sea-ice-products).\n",
     "\n",
@@ -473,7 +485,7 @@
     "\n",
     "You will notice a familiar interface as with the `ERA5Downloader` class with the `SICDownloader` class, with similar input arguments.\n",
     "\n",
-    ":::note\n",
+    ":::{note}\n",
     "In a similar manner to the Masks data download above, the OSI SAF data is downloaded over an FTP server which is blocked and not accessible via Binder, hence, the final datafile that the next cell would output for these range of dates is included in the repository.\n",
     "\n",
     "It does not change the workflow or the code, the class will simply skip over the date ranges that have already been downloaded.\n",
@@ -951,11 +963,19 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "Now that we have a prediction, we can visualise the binary sea ice concentration using some of the built-in tools in IceNet that utilise `cartopy` and `matplotlib`.\n",
     "\n",
-    "(Note: There are also some scripts in the [icenet-pipeline](https://github.com/icenet-ai/icenet-pipeline) repository that enable plotting common results such as `produce_op_assets.sh`)"
+    ":::{note}\n",
+    "There are also some scripts in the [icenet-pipeline](https://github.com/icenet-ai/icenet-pipeline) repository that enable plotting common results such as `produce_op_assets.sh`)\n",
+    ":::"
    ]
   },
   {
@@ -1008,11 +1028,17 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "Now, we can use the built in plotting tool to visualise our forecast.\n",
     "\n",
-    ":::note\n",
+    ":::{note}\n",
     "Since this is a demonstrator notebook and due to the resource limitations on Binder, we have not trained our network for a prolonged period of time or for a large date range, but the plot below shows indicative results binary sea ice concentration.\n",
     ":::"
    ]
@@ -1028,7 +1054,13 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "___\n",
     "### Improving results\n",
@@ -1076,11 +1108,17 @@
   },
   {
    "cell_type": "markdown",
-   "metadata": {},
+   "metadata": {
+    "editable": true,
+    "slideshow": {
+     "slide_type": ""
+    },
+    "tags": []
+   },
    "source": [
     "This is the result after making the above changes.\n",
     "\n",
-    ":::note\n",
+    ":::{note}\n",
     "Since the training runs are non-deterministic (when run on GPUs, seeds do not always define determinism), the result you obtain when running with the same parameters are not necessarily the same, or at the very least, not an exact match.\n",
     ":::"
    ]

From 83327721c397ab6acddeceff4ebe59ab4443c636 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Wed, 3 Jul 2024 10:40:13 +0100
Subject: [PATCH 088/141] capitalize Python

---
 notebook.ipynb | 149 ++++++++++++++++++++++---------------------------
 1 file changed, 67 insertions(+), 82 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 3206870..a2c4320 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -59,20 +59,19 @@
     "tags": []
    },
    "source": [
-    "\n",
     "## Context\n",
     "### Purpose\n",
     "This notebook demonstrates the use of the [IceNet library](https://pypi.org/project/icenet/) for sea-ice forecasting trained using climate reanalysis and observational data.\n",
     "\n",
     "### Description\n",
-    "[IceNet](https://github.com/icenet-ai/icenet/) is a python library that provides the ability to download, process, train and predict from end to end. Users can interact with IceNet either via the python interface or via a set of command-line interfaces (CLI) which provide a high-level interface that covers the above abilities.\n",
+    "[IceNet](https://github.com/icenet-ai/icenet/) is a Python library that provides the ability to download, process, train and predict from end to end. Users can interact with IceNet either via the Python interface or via a set of command-line interfaces (CLI) which provide a high-level interface that covers the above abilities.\n",
     "\n",
-    "This notebook demonstrates the use of the python library api for forecasting sea ice for a reduced dataset to demonstrate its capabilities. The final output of interest are maps of sea ice concentration.\n",
+    "This notebook demonstrates the use of the Python library api for forecasting sea ice for a reduced dataset to demonstrate its capabilities. The final output of interest are maps of sea ice concentration.\n",
     "\n",
     "### Modelling approach\n",
     "IceNet is a probabilistic, deep learning sea ice forecasting system. It utilises ensemble modelling of [U-Net](https://link.springer.com/chapter/10.1007/978-3-319-24574-4_28) networks to generate daily forecasts of sea ice condition, trained on climate reanalysis and sea ice observational data (the built-in downloaders within IceNet are extensible). The original IceNet research model, published in Nature Communications ([Seasonal Arctic sea ice forecasting with probabilistic deep learning](https://www.nature.com/articles/s41467-021-25257-4)) was trained on climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration maps.\n",
     "\n",
-    "The python library ([IceNet](https://github.com/icenet-ai/icenet/)) showcased in this notebook is a heavily refactored version of the original research code from the original publication that has been developed for operational forecasting that utilises daily inputs and is able to generate daily forecast outputs for a variable forecast time period. The core U-Net architecture is implemented using Tensorflow, however, the library architecture allows other backend libraries to be utilised and wrapped around the IceNet library ecosystem.\n",
+    "The Python library ([IceNet](https://github.com/icenet-ai/icenet/)) showcased in this notebook is a heavily refactored version of the original research code from the original publication that has been developed for operational forecasting that utilises daily inputs and is able to generate daily forecast outputs for a variable forecast time period. The core U-Net architecture is implemented using Tensorflow, however, the library architecture allows other backend libraries to be utilised and wrapped around the IceNet library ecosystem.\n",
     "\n",
     "### Highlights\n",
     " * [1. Setup](#-1.-Setup) the environment and project structure.\n",
@@ -125,7 +124,7 @@
     ":::\n",
     "\n",
     "#### Source code\n",
-    "There are multiple relevant code bases depending on the usage scenario, but the main python IceNet library is located [here](https://github.com/icenet-ai/icenet). If of interest, other related repositories can be found in the [icenet-ai](https://github.com/icenet-ai/) github organisation.\n",
+    "There are multiple relevant code bases depending on the usage scenario, but the main Python IceNet library is located [here](https://github.com/icenet-ai/icenet). If of interest, other related repositories can be found in the [icenet-ai](https://github.com/icenet-ai/) github organisation.\n",
     "\n",
     "#### Involved organisations\n",
     "The Alan Turing Institute and British Antarctic Survey\n",
@@ -254,8 +253,8 @@
    ]
   },
   {
-   "cell_type": "markdown",
    "metadata": {},
+   "cell_type": "markdown",
    "source": [
     "___\n",
     "# 2. Download\n",
@@ -264,8 +263,8 @@
    ]
   },
   {
-   "cell_type": "markdown",
    "metadata": {},
+   "cell_type": "markdown",
    "source": [
     "### Masked regions\n",
     "\n",
@@ -279,31 +278,23 @@
    ]
   },
   {
+   "metadata": {},
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {
-    "editable": true,
-    "slideshow": {
-     "slide_type": ""
-    },
-    "tags": []
-   },
    "outputs": [],
+   "execution_count": null,
    "source": [
     "masks = Masks(north=False, south=True)\n",
     "masks.generate(save_polarhole_masks=False)"
    ]
   },
   {
-   "cell_type": "markdown",
    "metadata": {},
-   "source": [
-    "## Climate and Ocean data"
-   ]
+   "cell_type": "markdown",
+   "source": "## Climate and Ocean data"
   },
   {
-   "cell_type": "markdown",
    "metadata": {},
+   "cell_type": "markdown",
    "source": [
     "Climate and ocean data can be obtained from the [Climate Data Store (CDS)](https://cds.climate.copernicus.eu/). Due to resource limitations, we omit their use in this notebook. However, this section gives an example of they could be downloaded.\n",
     "\n",
@@ -316,67 +307,6 @@
     "Please see the above links for more details on these datasets."
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "editable": true,
-    "slideshow": {
-     "slide_type": ""
-    },
-    "tags": []
-   },
-   "source": [
-    ":::{note}\n",
-    "Since both the ERA5 and ORAS5 data downloads require registration before download, this demonstrator will only download and use observed sea ice concentration data for training.\n",
-    ":::\n",
-    "\n",
-    "### ERA5 Downloader\n",
-    "\n",
-    "The downloader implementation of this data in IceNet utilises the CDS API which requires registration and configuration of an API key before downloading. The registration is free, please see [the official CDS API how-to](https://cds.climate.copernicus.eu/api-how-to) for more instructions on how to set this up.\n",
-    "\n",
-    "Once the key is configured correctly, you can utilise the `ERA5Downloader` class, for example, to download climate variables and use it for training the model in addition to the sea ice concentration data that is downloaded further below.\n",
-    "\n",
-    "\n",
-    "```python\n",
-    "import pandas as pd\n",
-    "from icenet.data.interfaces.cds import ERA5Downloader\n",
-    "\n",
-    "era5 = ERA5Downloader(\n",
-    "    var_names=[\"tas\", \"zg\", \"uas\", \"vas\"],      # Name of variables to download\n",
-    "    dates=[                                     # Dates to download the variable data for\n",
-    "        pd.to_datetime(date).date()\n",
-    "        for date in pd.date_range(\"2020-01-01\", \"2020-04-30\", freq=\"D\")\n",
-    "    ],\n",
-    "    path=\"./data\",                              # Location to download data to (default is `./data`)\n",
-    "    delete_tempfiles=True,                      # Whether to delete temporary downloaded files\n",
-    "    levels=[None, [250, 500], None, None],      # The levels at which to obtain the variables for (e.g. for zg, it is the pressure levels)\n",
-    "    max_threads=4,                              # Maximum number of concurrent downloads\n",
-    "    north=False,                                # Boolean: Whether require data across northern hemisphere\n",
-    "    south=True,                                 # Boolean: Whether require data across southern hemisphere\n",
-    "    use_toolbox=False)                          # Experimental, alternative download method\n",
-    "era5.download()                                 # Start downloading\n",
-    "```\n",
-    "\n",
-    "A reference for understanding the variable names used above can be found [here](https://clipc-services.ceda.ac.uk/dreq/mipVars.html). These variable names are mapped to their equivalent ERA5 names within IceNet. For example, `uas` and `vas` are near-surface eastward and northward wind speed components in `m/s`. The variable mapping within Icenet for ERA5Downloader are:\n",
-    "\n",
-    "<center>\n",
-    "\n",
-    "| Variable name | Definition                              | Units |\n",
-    "|---------------|:-------------------------------------   |-------|\n",
-    "| tas           | Near Surface Air Temperature (at 2m)    | K     |\n",
-    "| ta            | Air Temperature                         | K     |\n",
-    "| tos           | Sea Surface Temperature                 | K     |\n",
-    "| psl           | Sea Level Pressure at mean sea level    | Pa    |\n",
-    "| zg            | Geopotential Height                     | m     |\n",
-    "| hus           | Specific Humidity                       | -     |\n",
-    "| rlds          | Surface Downwelling Longwave Radiation  | W/m^2 |\n",
-    "| rsds          | Surface Downwelling Shortwave Radiation | W/m^2 |\n",
-    "| uas           | Eastward Near-Surface Wind at 10m       | m/s   |\n",
-    "| vas           | Eastward Near-Surface Wind at 10m       | m/s   |\n",
-    "\n",
-    "</center>"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -667,6 +597,61 @@
     "meta.process()"
    ]
   },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    ":::{note}\n",
+    "Since both the ERA5 and ORAS5 data downloads require registration before download, this demonstrator will only download and use observed sea ice concentration data for training.\n",
+    ":::\n",
+    "\n",
+    "### ERA5 Downloader\n",
+    "\n",
+    "The downloader implementation of this data in IceNet utilises the CDS API which requires registration and configuration of an API key before downloading. The registration is free, please see [the official CDS API how-to](https://cds.climate.copernicus.eu/api-how-to) for more instructions on how to set this up.\n",
+    "\n",
+    "Once the key is configured correctly, you can utilise the `ERA5Downloader` class, for example, to download climate variables and use it for training the model in addition to the sea ice concentration data that is downloaded further below.\n",
+    "\n",
+    "\n",
+    "```python\n",
+    "import pandas as pd\n",
+    "from icenet.data.interfaces.cds import ERA5Downloader\n",
+    "\n",
+    "era5 = ERA5Downloader(\n",
+    "    var_names=[\"tas\", \"zg\", \"uas\", \"vas\"],      # Name of variables to download\n",
+    "    dates=[                                     # Dates to download the variable data for\n",
+    "        pd.to_datetime(date).date()\n",
+    "        for date in pd.date_range(\"2020-01-01\", \"2020-04-30\", freq=\"D\")\n",
+    "    ],\n",
+    "    path=\"./data\",                              # Location to download data to (default is `./data`)\n",
+    "    delete_tempfiles=True,                      # Whether to delete temporary downloaded files\n",
+    "    levels=[None, [250, 500], None, None],      # The levels at which to obtain the variables for (e.g. for zg, it is the pressure levels)\n",
+    "    max_threads=4,                              # Maximum number of concurrent downloads\n",
+    "    north=False,                                # Boolean: Whether require data across northern hemisphere\n",
+    "    south=True,                                 # Boolean: Whether require data across southern hemisphere\n",
+    "    use_toolbox=False)                          # Experimental, alternative download method\n",
+    "era5.download()                                 # Start downloading\n",
+    "```\n",
+    "\n",
+    "A reference for understanding the variable names used above can be found [here](https://clipc-services.ceda.ac.uk/dreq/mipVars.html). These variable names are mapped to their equivalent ERA5 names within IceNet. For example, `uas` and `vas` are near-surface eastward and northward wind speed components in `m/s`. The variable mapping within Icenet for ERA5Downloader are:\n",
+    "\n",
+    "<center>\n",
+    "\n",
+    "| Variable name | Definition                              | Units |\n",
+    "|---------------|:-------------------------------------   |-------|\n",
+    "| tas           | Near Surface Air Temperature (at 2m)    | K     |\n",
+    "| ta            | Air Temperature                         | K     |\n",
+    "| tos           | Sea Surface Temperature                 | K     |\n",
+    "| psl           | Sea Level Pressure at mean sea level    | Pa    |\n",
+    "| zg            | Geopotential Height                     | m     |\n",
+    "| hus           | Specific Humidity                       | -     |\n",
+    "| rlds          | Surface Downwelling Longwave Radiation  | W/m^2 |\n",
+    "| rsds          | Surface Downwelling Shortwave Radiation | W/m^2 |\n",
+    "| uas           | Eastward Near-Surface Wind at 10m       | m/s   |\n",
+    "| vas           | Eastward Near-Surface Wind at 10m       | m/s   |\n",
+    "\n",
+    "</center>"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -1138,7 +1123,7 @@
    "source": [
     "## Summary\n",
     "\n",
-    "This notebook has demonstrated the use of the IceNet library to programmatically generate sea-ice forecasts via the `IceNet` python interface, across all stages of a machine learning workflow, from source data download to forecast visualisation. It demonstrated this by:\n",
+    "This notebook has demonstrated the use of the IceNet library to programmatically generate sea-ice forecasts via the `IceNet` Python interface, across all stages of a machine learning workflow, from source data download to forecast visualisation. It demonstrated this by:\n",
     "\n",
     "* Showing usage of the IceNet library to download different climate data variables ([ERA5](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview)) and sea ice concentration maps ([OSI SAF](https://osi-saf.eumetsat.int/)) from different data sources via a similar api interface. (The ERA5 code was shown, but not run due to need for a free personal API key having been setup by the user)\n",
     "* Processing of downloaded data to include normalisation and data caching to speed up the training.\n",

From 7a4a5034b6131826ba4235b855e2209433f29414 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Wed, 3 Jul 2024 10:40:44 +0100
Subject: [PATCH 089/141] typo in output

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index a2c4320..39be414 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -66,7 +66,7 @@
     "### Description\n",
     "[IceNet](https://github.com/icenet-ai/icenet/) is a Python library that provides the ability to download, process, train and predict from end to end. Users can interact with IceNet either via the Python interface or via a set of command-line interfaces (CLI) which provide a high-level interface that covers the above abilities.\n",
     "\n",
-    "This notebook demonstrates the use of the Python library api for forecasting sea ice for a reduced dataset to demonstrate its capabilities. The final output of interest are maps of sea ice concentration.\n",
+    "This notebook demonstrates the use of the Python library api for forecasting sea ice for a reduced dataset to demonstrate its capabilities. The final outputs of interest are maps of sea ice concentration.\n",
     "\n",
     "### Modelling approach\n",
     "IceNet is a probabilistic, deep learning sea ice forecasting system. It utilises ensemble modelling of [U-Net](https://link.springer.com/chapter/10.1007/978-3-319-24574-4_28) networks to generate daily forecasts of sea ice condition, trained on climate reanalysis and sea ice observational data (the built-in downloaders within IceNet are extensible). The original IceNet research model, published in Nature Communications ([Seasonal Arctic sea ice forecasting with probabilistic deep learning](https://www.nature.com/articles/s41467-021-25257-4)) was trained on climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration maps.\n",

From 29b9613440306a49778008e2888ddbff090dd2ac Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Wed, 3 Jul 2024 10:41:29 +0100
Subject: [PATCH 090/141] plural to sea ice conditions

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 39be414..0ac2ff0 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -69,7 +69,7 @@
     "This notebook demonstrates the use of the Python library api for forecasting sea ice for a reduced dataset to demonstrate its capabilities. The final outputs of interest are maps of sea ice concentration.\n",
     "\n",
     "### Modelling approach\n",
-    "IceNet is a probabilistic, deep learning sea ice forecasting system. It utilises ensemble modelling of [U-Net](https://link.springer.com/chapter/10.1007/978-3-319-24574-4_28) networks to generate daily forecasts of sea ice condition, trained on climate reanalysis and sea ice observational data (the built-in downloaders within IceNet are extensible). The original IceNet research model, published in Nature Communications ([Seasonal Arctic sea ice forecasting with probabilistic deep learning](https://www.nature.com/articles/s41467-021-25257-4)) was trained on climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration maps.\n",
+    "IceNet is a probabilistic, deep learning sea ice forecasting system. It utilises ensemble modelling of [U-Net](https://link.springer.com/chapter/10.1007/978-3-319-24574-4_28) networks to generate daily forecasts of sea ice conditions, trained on climate reanalysis and sea ice observational data (the built-in downloaders within IceNet are extensible). The original IceNet research model, published in Nature Communications ([Seasonal Arctic sea ice forecasting with probabilistic deep learning](https://www.nature.com/articles/s41467-021-25257-4)) was trained on climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration maps.\n",
     "\n",
     "The Python library ([IceNet](https://github.com/icenet-ai/icenet/)) showcased in this notebook is a heavily refactored version of the original research code from the original publication that has been developed for operational forecasting that utilises daily inputs and is able to generate daily forecast outputs for a variable forecast time period. The core U-Net architecture is implemented using Tensorflow, however, the library architecture allows other backend libraries to be utilised and wrapped around the IceNet library ecosystem.\n",
     "\n",

From 6c5a46feaf3ed96e2c703f0287066ce6a6efd0f9 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Wed, 3 Jul 2024 10:42:26 +0100
Subject: [PATCH 091/141] fix typo in windows sentence

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 0ac2ff0..1634b75 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -86,7 +86,7 @@
     "* Linux\n",
     "* macOS (Intel and Apple Silicon)\n",
     "\n",
-    "Windows: although [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) should work, but it is untested, and is not a supported platform.\n",
+    "Windows: although [WSL2](https://learn.microsoft.com/en-us/windows/wsl/install) should work, it is untested and is not a supported platform.\n",
     "\n",
     "In terms of hardware, this notebook (and IceNet in general) does not require a GPU, however, when attempting a larger training run, the use of a GPU is highly recommended.\n",
     "\n",

From b63aa9c80e2f068c380ba5fb29d80dc3eaa4b489 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Wed, 3 Jul 2024 10:49:45 +0100
Subject: [PATCH 092/141] fix typos

---
 notebook.ipynb | 28 ++++++++++++++--------------
 1 file changed, 14 insertions(+), 14 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 1634b75..698c94d 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -120,14 +120,14 @@
     ":::{note}\n",
     "The original paper and notebook used a combination of climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration. Since then, the original code has been refactored into a new `icenet` library as showcased in this notebook.\n",
     "\n",
-    "This library supports sea ice forecasting on a daily resolution rather than monthly-averaged. It has been developed significantly since the original paper to operationalise the code, and to that end, there are multiple ways of interacting with the library to help enable development of sea ice forecasting and facilitate model development. More of these interfaces and use-case scenarios are covered in the [icenet-notebooks](https://github.com/icenet-ai/icenet-notebooks) repository.\n",
+    "This library supports sea ice forecasting on a daily resolution rather than monthly-averaged. It has been developed significantly since the original paper to operationalise the code, and to that end, there are multiple ways of interacting with the library to help enable the development of sea ice forecasting and facilitate model development. More of these interfaces and use-case scenarios are covered in the [icenet-notebooks](https://github.com/icenet-ai/icenet-notebooks) repository.\n",
     ":::\n",
     "\n",
     "#### Source code\n",
     "There are multiple relevant code bases depending on the usage scenario, but the main Python IceNet library is located [here](https://github.com/icenet-ai/icenet). If of interest, other related repositories can be found in the [icenet-ai](https://github.com/icenet-ai/) github organisation.\n",
     "\n",
     "#### Involved organisations\n",
-    "The Alan Turing Institute and British Antarctic Survey\n",
+    "The Alan Turing Institute and the British Antarctic Survey\n",
     "\n",
     "### Acronyms\n",
     "\n",
@@ -271,7 +271,7 @@
     "We start here with generating the masks for training/prediction. This includes regions where sea ice does not form such as land regions, and also, the unobserved [polar hole](https://blogs.egu.eu/divisions/cr/2016/10/14/image-of-the-week-the-polar-hole/) region.\n",
     "\n",
     ":::note\n",
-    "This data downloaded from OSI SAF over an FTP server which is blocked and not accessible via Binder, hence, the final datafile that the next cell would output for these range of dates is included in the repository.\n",
+    "This data is downloaded from OSI SAF over an FTP server which is blocked and not accessible via Binder, hence, the final datafile that the next cell would output for this range of dates is included in the repository.\n",
     "\n",
     "It does not change the workflow or the code, the class will simply skip over the date ranges that have already been downloaded.\n",
     ":::"
@@ -296,9 +296,9 @@
    "metadata": {},
    "cell_type": "markdown",
    "source": [
-    "Climate and ocean data can be obtained from the [Climate Data Store (CDS)](https://cds.climate.copernicus.eu/). Due to resource limitations, we omit their use in this notebook. However, this section gives an example of they could be downloaded.\n",
+    "Climate and ocean data can be obtained from the [Climate Data Store (CDS)](https://cds.climate.copernicus.eu/). Due to resource limitations, we omit their use in this notebook. However, this section gives an example of how they could be downloaded.\n",
     "\n",
-    "* The climate data used for training is from [ERA5](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview) reanalysis which covers the global climate since 1940 to the present time.\n",
+    "* The climate data used for training is from [ERA5](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview) reanalysis which covers the global climate from 1940 to the present time.\n",
     "\n",
     "* Ocean data can be downloaded from an ensemble of models, including [ORAS5](https://data.marine.copernicus.eu/product/GLOBAL_MULTIYEAR_PHY_ENS_001_031/description) which also uses a reanalysis approach and contains global ocean and sea-ice reanalysis data.\n",
     "\n",
@@ -409,14 +409,14 @@
     "tags": []
    },
    "source": [
-    "The sea-ice concentration data use for training is obtained from [OSI SAF](https://osi-saf.eumetsat.int/products/sea-ice-products).\n",
+    "The sea-ice concentration data used for training is obtained from [OSI SAF](https://osi-saf.eumetsat.int/products/sea-ice-products).\n",
     "\n",
     "The SIC is defined as the fraction of a grid cell that is covered in sea-ice.\n",
     "\n",
-    "You will notice a familiar interface as with the `ERA5Downloader` class with the `SICDownloader` class, with similar input arguments.\n",
+    "You will notice a familiar interface with the `ERA5Downloader` class with the `SICDownloader` class, with similar input arguments.\n",
     "\n",
     ":::{note}\n",
-    "In a similar manner to the Masks data download above, the OSI SAF data is downloaded over an FTP server which is blocked and not accessible via Binder, hence, the final datafile that the next cell would output for these range of dates is included in the repository.\n",
+    "In a similar manner to the Masks data download above, the OSI SAF data is downloaded over an FTP server which is blocked and not accessible via Binder, hence, the final datafile that the next cell would output for this range of dates is included in the repository.\n",
     "\n",
     "It does not change the workflow or the code, the class will simply skip over the date ranges that have already been downloaded.\n",
     ":::"
@@ -486,7 +486,7 @@
     "\n",
     "Similarly to the downloaders, each data producer (be it a `Downloader` or `Generator`) has a respective `Processor` that converts the `./data/` products into a normalised, preprocessed dataset under `./processed/`.\n",
     "\n",
-    "Firstly, to make life a bit easier, we set up some variables. In this case we're creating a train/validate/test split out of the 2020 data in a fairly naive manner."
+    "Firstly, to make life a bit easier, we set up some variables. In this case, we're creating a train/validate/test split out of the 2020 data in a fairly naive manner."
    ]
   },
   {
@@ -761,7 +761,7 @@
     "___\n",
     "# 4. Train\n",
     "\n",
-    "For single runs we can programmatically call `train_model` which defines the training process from start to finish. If we wanted to run mutliple models with different initialisation states (called ensemble modelling) to obtain some level of model uncertainty, it is recommended to use the [`model-ensembler`](https://github.com/JimCircadian/model-ensembler) tool which works outside of the API and is capable of controlling multiple CLI submissions. Customising an ensemble can be achieved through looking at the configuration in [the pipeline repository](https://github.com/icenet-ai/icenet-pipeline?tab=readme-ov-file#configuration). That said, if workflow system integration (e.g. [Airflow](https://airflow.apache.org/)) is desired, integrating via this method is the way to go."
+    "For single runs, we can programmatically call `train_model` which defines the training process from start to finish. If we wanted to run multiple models with different initialisation states (called ensemble modelling) to obtain some level of model uncertainty, it is recommended to use the [`model-ensembler`](https://github.com/JimCircadian/model-ensembler) tool which works outside of the API and is capable of controlling multiple CLI submissions. Customising an ensemble can be achieved by looking at the configuration in [the pipeline repository](https://github.com/icenet-ai/icenet-pipeline?tab=readme-ov-file#configuration). That said, if workflow system integration (e.g. [Airflow](https://airflow.apache.org/)) is desired, integrating via this method is the way to go."
    ]
   },
   {
@@ -1024,7 +1024,7 @@
     "Now, we can use the built in plotting tool to visualise our forecast.\n",
     "\n",
     ":::{note}\n",
-    "Since this is a demonstrator notebook and due to the resource limitations on Binder, we have not trained our network for a prolonged period of time or for a large date range, but the plot below shows indicative results binary sea ice concentration.\n",
+    "Since this is a demonstrator notebook and due to the resource limitations on Binder, we have not trained our network for a prolonged period of time or for a large date range, but the plot below shows indicative results of binary sea ice concentration.\n",
     ":::"
    ]
   },
@@ -1104,7 +1104,7 @@
     "This is the result after making the above changes.\n",
     "\n",
     ":::{note}\n",
-    "Since the training runs are non-deterministic (when run on GPUs, seeds do not always define determinism), the result you obtain when running with the same parameters are not necessarily the same, or at the very least, not an exact match.\n",
+    "Since the training runs are non-deterministic (when run on GPUs, seeds do not always define determinism), the results you obtain when running with the same parameters are not necessarily the same, or at the very least, not an exact match.\n",
     ":::"
    ]
   },
@@ -1125,7 +1125,7 @@
     "\n",
     "This notebook has demonstrated the use of the IceNet library to programmatically generate sea-ice forecasts via the `IceNet` Python interface, across all stages of a machine learning workflow, from source data download to forecast visualisation. It demonstrated this by:\n",
     "\n",
-    "* Showing usage of the IceNet library to download different climate data variables ([ERA5](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview)) and sea ice concentration maps ([OSI SAF](https://osi-saf.eumetsat.int/)) from different data sources via a similar api interface. (The ERA5 code was shown, but not run due to need for a free personal API key having been setup by the user)\n",
+    "* Showing usage of the IceNet library to download different climate data variables ([ERA5](https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels?tab=overview)) and sea ice concentration maps ([OSI SAF](https://osi-saf.eumetsat.int/)) from different data sources via a similar API interface. (The ERA5 code was shown, but not run due to the need for a free personal API key having been setup by the user)\n",
     "* Processing of downloaded data to include normalisation and data caching to speed up the training.\n",
     "* Showing the use of a high-level interface to the IceNet U-Net model to train on different data sources and generate predictions of binary sea ice concentration.\n",
     "* Visualising the predictions using the plotting tools within the IceNet library.\n",
@@ -1136,7 +1136,7 @@
     "\n",
     "For the training model generated, the accuracy of the results depends on the data used as training inputs (in this demonstrator notebook, only a limited subset of the OSI SAF SIC data is used due to resource limitations on Binder).\n",
     "\n",
-    "On less resource constricted systems, as elucidated above, it is possible to use other data downloaders that include variables which relate to sea ice formation to improve prediction results while including a larger date range as available from the different data sources. For day to day forecast generation, a subset of the OSI SAF (1940-present) and ERA5 datasets (1979-present) are utilised for training.\n",
+    "On less resource-constricted systems, as elucidated above, it is possible to use other data downloaders that include variables which relate to sea ice formation to improve prediction results while including a larger date range as available from the different data sources. For day to day forecast generation, a subset of the OSI SAF (1940-present) and ERA5 datasets (1979-present) are utilised for training.\n",
     "\n",
     "For more details, the [original paper](https://www.nature.com/articles/s41467-021-25257-4) is a recommended read. A more up-to-date paper considering the latest IceNet implementation changes since the publication of the original paper is currently in progress."
    ]

From 3364140a28a63917ffabb56317bc65c88b8c29ff Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Wed, 3 Jul 2024 12:59:48 +0100
Subject: [PATCH 093/141] fix heading levels

---
 notebook.ipynb | 188 ++++++++++++++++++++++++-------------------------
 1 file changed, 93 insertions(+), 95 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 698c94d..7d5b955 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -74,12 +74,12 @@
     "The Python library ([IceNet](https://github.com/icenet-ai/icenet/)) showcased in this notebook is a heavily refactored version of the original research code from the original publication that has been developed for operational forecasting that utilises daily inputs and is able to generate daily forecast outputs for a variable forecast time period. The core U-Net architecture is implemented using Tensorflow, however, the library architecture allows other backend libraries to be utilised and wrapped around the IceNet library ecosystem.\n",
     "\n",
     "### Highlights\n",
-    " * [1. Setup](#-1.-Setup) the environment and project structure.\n",
-    " * [2. Download](#-2.-Download) sea ice concentration data as training data.\n",
-    " * [3. Process](#-3.-Process) downloaded data, and generate cached datasets to speed up training.\n",
-    " * [4. Train](#-4.-Train) the neural network and generate checkpoint and model output.\n",
-    " * [5. Predict](#-5.-Predict) for defined dates.\n",
-    " * [6. Visualisation](#-6.-Visualisation) of the prediction output.\n",
+    " * [1. Setup](##-1.-Setup) the environment and project structure.\n",
+    " * [2. Download](##-2.-Download) sea ice concentration data as training data.\n",
+    " * [3. Process](##-3.-Process) downloaded data, and generate cached datasets to speed up training.\n",
+    " * [4. Train](##-4.-Train) the neural network and generate checkpoint and model output.\n",
+    " * [5. Predict](##-5.-Predict) for defined dates.\n",
+    " * [6. Visualisation](##-6.-Visualisation) of the prediction output.\n",
     "\n",
     "### Compatible platforms\n",
     "The `IceNet` library is designed to be run within a Unix environment, and, as such, this notebook has been tested on the following OS platforms:\n",
@@ -176,7 +176,7 @@
    "metadata": {},
    "source": [
     "___\n",
-    "# 1. Setup"
+    "## 1. Setup"
    ]
   },
   {
@@ -189,7 +189,6 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {
     "collapsed": false,
     "editable": true,
@@ -203,7 +202,6 @@
      "hide-input"
     ]
    },
-   "outputs": [],
    "source": [
     "import os\n",
     "import warnings\n",
@@ -224,7 +222,9 @@
     "logging.getLogger('icenet').setLevel(logging.INFO)\n",
     "logging.getLogger('dask').setLevel(logging.ERROR)\n",
     "logging.getLogger('distributed').setLevel(logging.ERROR)"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -235,29 +235,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "from icenet.data.sic.mask import Masks\n",
     "from icenet.data.sic.osisaf import SICDownloader"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "%env PYTHONWARNINGS=ignore"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "metadata": {},
    "cell_type": "markdown",
    "source": [
     "___\n",
-    "# 2. Download\n",
+    "## 2. Download\n",
     "\n",
     "In this section, we download all required data with our extended date range. All downloaders inherit a `download` method from the `Downloader` class in [`icenet.data.producers`](https://github.com/icenet-ai/icenet/blob/main/icenet/data/producers.py), which also contains two other data producing classes `Generator` (which Masks inherits from) and `Processor` (used in the next section), each providing abstract implementations that multiple classes derive from."
    ]
@@ -280,17 +280,17 @@
   {
    "metadata": {},
    "cell_type": "code",
-   "outputs": [],
-   "execution_count": null,
    "source": [
     "masks = Masks(north=False, south=True)\n",
     "masks.generate(save_polarhole_masks=False)"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "metadata": {},
    "cell_type": "markdown",
-   "source": "## Climate and Ocean data"
+   "source": "### Climate and Ocean data"
   },
   {
    "metadata": {},
@@ -323,7 +323,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### ORAS5 Downloader\n",
+    "#### ORAS5 Downloader\n",
     "\n",
     "The ORAS5 Downloader uses the Copernicus Marine toolbox which requires [registration](https://data.marine.copernicus.eu/register).\n",
     "\n",
@@ -395,9 +395,7 @@
   {
    "cell_type": "markdown",
    "metadata": {},
-   "source": [
-    "## Sea-ice concentration (SIC) data"
-   ]
+   "source": "### Sea-ice concentration (SIC) data"
   },
   {
    "cell_type": "markdown",
@@ -424,9 +422,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "sic = SICDownloader(\n",
     "    dates=[\n",
@@ -440,7 +436,9 @@
     ")\n",
     "\n",
     "sic.download()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -482,7 +480,7 @@
    "metadata": {},
    "source": [
     "___\n",
-    "# 3. Process\n",
+    "## 3. Process\n",
     "\n",
     "Similarly to the downloaders, each data producer (be it a `Downloader` or `Generator`) has a respective `Processor` that converts the `./data/` products into a normalised, preprocessed dataset under `./processed/`.\n",
     "\n",
@@ -491,9 +489,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "processing_dates = dict(\n",
     "    train=[pd.to_datetime(el) for el in pd.date_range(\"2020-01-01\", \"2020-01-04\")],\n",
@@ -501,7 +497,9 @@
     "    test=[pd.to_datetime(el) for el in pd.date_range(\"2020-04-01\", \"2020-04-02\")],\n",
     ")\n",
     "processed_name = \"notebook_api_data\""
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -519,20 +517,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "from icenet.data.processors.era5 import IceNetERA5PreProcessor # Unused in this demonstrator notebook\n",
     "from icenet.data.processors.meta import IceNetMetaPreProcessor\n",
     "from icenet.data.processors.osi import IceNetOSIPreProcessor"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "osi = IceNetOSIPreProcessor(\n",
     "    [\"siconca\"],                # Absolute normalised variables\n",
@@ -551,7 +547,9 @@
     "    north=False,\n",
     "    south=True,\n",
     ")"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -585,9 +583,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "osi.init_source_data(\n",
     "    lag_days=1,\n",
@@ -595,7 +591,9 @@
     "osi.process()\n",
     "\n",
     "meta.process()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "metadata": {},
@@ -670,9 +668,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "from icenet.data.loaders import IceNetDataLoaderFactory\n",
     "\n",
@@ -692,7 +688,9 @@
     "    output_batch_size=1,\n",
     "    generate_workers=1\n",
     ")"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -703,12 +701,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "dl._config"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -719,13 +717,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "%%time\n",
     "dl.generate()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -736,30 +734,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "x, y, sw = dl.generate_sample(pd.Timestamp(\"2020-04-01\"))"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "print(f\"type(x): {type(x)}, x.shape: {x.shape}\")\n",
     "print(f\"type(y): {type(y)}, y.shape: {y.shape}\")\n",
     "print(f\"type(sw): {type(sw)}, sw.shape: {sw.shape}\")"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "___\n",
-    "# 4. Train\n",
+    "## 4. Train\n",
     "\n",
     "For single runs, we can programmatically call `train_model` which defines the training process from start to finish. If we wanted to run multiple models with different initialisation states (called ensemble modelling) to obtain some level of model uncertainty, it is recommended to use the [`model-ensembler`](https://github.com/JimCircadian/model-ensembler) tool which works outside of the API and is capable of controlling multiple CLI submissions. Customising an ensemble can be achieved by looking at the configuration in [the pipeline repository](https://github.com/icenet-ai/icenet-pipeline?tab=readme-ov-file#configuration). That said, if workflow system integration (e.g. [Airflow](https://airflow.apache.org/)) is desired, integrating via this method is the way to go."
    ]
@@ -773,16 +771,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "from icenet.data.dataset import IceNetDataSet\n",
     "\n",
     "dataset_config = f\"dataset_config.{dataset_name}.json\"\n",
     "dataset = IceNetDataSet(dataset_config, batch_size=1)\n",
     "strategy = tf.distribute.get_strategy()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -793,12 +791,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "dataset._config"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -809,12 +807,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "dataset.get_data_loader()"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -825,7 +823,6 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {
     "editable": true,
     "slideshow": {
@@ -835,7 +832,6 @@
      "hide-output"
     ]
    },
-   "outputs": [],
    "source": [
     "%%time\n",
     "from icenet.model.train import train_model\n",
@@ -853,7 +849,9 @@
     "    training_verbosity=2,\n",
     "    workers=1\n",
     ")"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -867,7 +865,7 @@
    "metadata": {},
    "source": [
     "___\n",
-    "# 5. Predict\n",
+    "## 5. Predict\n",
     "\n",
     "In much the same manner as with `train_model`, the `predict_forecast` method acts as a convenient entry point workflow system integration, CLI entry as well as an overridable method upon which to base custom implementations. Using the method directly relies on loading from a prepared (but perhaps not cached) dataset.\n",
     "\n",
@@ -876,9 +874,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "%%time\n",
     "from icenet.model.predict import predict_forecast\n",
@@ -898,7 +894,9 @@
     "                 for el in pd.date_range(\"2020-04-01\", \"2020-04-02\")],\n",
     "    test_set=True,\n",
     ")"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -922,28 +920,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "!printf \"2020-04-01\\n2020-04-02\" | tee predict_dates.csv"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "!icenet_output -m -o ./results/predict custom_run_forecast api_dataset predict_dates.csv"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "___\n",
-    "# 6. Visualisation"
+    "## 6. Visualisation"
    ]
   },
   {
@@ -974,9 +972,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "from icenet.plotting.video import xarray_to_video as xvid\n",
     "from icenet.data.sic.mask import Masks\n",
@@ -1009,7 +1005,9 @@
     "\n",
     "    anim = xvid(fc, 15, figsize=4, mask=land_mask, colorbar_label=\"Sea-ice concentration fraction\")\n",
     "    display(HTML(anim.to_jshtml()))"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -1030,12 +1028,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "plot_result(\"results/predict/custom_run_forecast.nc\")"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -1110,12 +1108,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "plot_result(\"results/predict/good_forecast.nc\")"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "markdown",
@@ -1186,31 +1184,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
-   "outputs": [],
    "source": [
     "import icenet\n",
     "icenet_version = icenet.__version__\n",
     "print(f'IceNet version: {icenet_version}')"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "cell_type": "code",
-   "execution_count": null,
    "metadata": {
     "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     }
    },
-   "outputs": [],
    "source": [
     "from datetime import date\n",
     "\n",
     "print('Notebook repository version: v1.0.0')\n",
     "print(f'Last tested: {date.today()}')"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   }
  ],
  "metadata": {

From 144e2d39e560d66a74d80fd3d89a8de462e2252c Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Wed, 3 Jul 2024 13:09:19 +0100
Subject: [PATCH 094/141] fix load library heading

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 7d5b955..11858c5 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -183,7 +183,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Load libraries\n",
+    "### Load libraries\n",
     "Load some of the common libraries required."
    ]
   },

From 32f7c19748ef715cbb3958fbf370ae0343a5304c Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Wed, 3 Jul 2024 19:23:28 +0100
Subject: [PATCH 095/141] Fix swapped OSI-SAF & ERA5 available year @bnubald

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 11858c5..4224d47 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -1134,7 +1134,7 @@
     "\n",
     "For the training model generated, the accuracy of the results depends on the data used as training inputs (in this demonstrator notebook, only a limited subset of the OSI SAF SIC data is used due to resource limitations on Binder).\n",
     "\n",
-    "On less resource-constricted systems, as elucidated above, it is possible to use other data downloaders that include variables which relate to sea ice formation to improve prediction results while including a larger date range as available from the different data sources. For day to day forecast generation, a subset of the OSI SAF (1940-present) and ERA5 datasets (1979-present) are utilised for training.\n",
+    "On less resource-constricted systems, as elucidated above, it is possible to use other data downloaders that include variables which relate to sea ice formation to improve prediction results while including a larger date range as available from the different data sources. For day to day forecast generation, a subset of the OSI SAF (1978-present) and ERA5 datasets (1940-present) are utilised for training.\n",
     "\n",
     "For more details, the [original paper](https://www.nature.com/articles/s41467-021-25257-4) is a recommended read. A more up-to-date paper considering the latest IceNet implementation changes since the publication of the original paper is currently in progress."
    ]

From a743418076401c6e2636321b14c376e6ce418623 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Wed, 3 Jul 2024 19:24:35 +0100
Subject: [PATCH 096/141] add .bumpversion file

---
 .bumpversion.cfg | 12 ++++++++++++
 1 file changed, 12 insertions(+)
 create mode 100644 .bumpversion.cfg

diff --git a/.bumpversion.cfg b/.bumpversion.cfg
new file mode 100644
index 0000000..3dd6671
--- /dev/null
+++ b/.bumpversion.cfg
@@ -0,0 +1,12 @@
+[bumpversion]
+current_version = v1.0.0
+commit = True
+tag = True
+parse = (v(?P<major>\d+))(.(?P<minor>\d+))(.(?P<patch>\d+))
+serialize = v{major}.{minor}.{patch}
+
+[bumpversion:file:CITATION.cff]
+
+[bumpversion:file:notebook.ipynb]
+search = "print('Notebook repository version: {current_version}')\n"
+replace = "print('Notebook repository version: {new_version}')\n"

From a7a239961c7f0499b6d4bb6fa5c53cf1aa47dd1e Mon Sep 17 00:00:00 2001
From: Sebastian Luna-Valero <sebastian-luna-valero@users.noreply.github.com>
Date: Tue, 10 Sep 2024 09:22:40 +0200
Subject: [PATCH 097/141] Pin notebook and jupyter_server

xref: https://discourse.jupyter.org/t/notebook-7-on-mybinder-org-and-repo2docker/
---
 .binder/environment.yml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/.binder/environment.yml b/.binder/environment.yml
index fcec8da..841f349 100644
--- a/.binder/environment.yml
+++ b/.binder/environment.yml
@@ -7,10 +7,11 @@ dependencies:
   - copernicusmarine
   - ipykernel
   - jupyterlab
+  - notebook=6
+  - jupyter_server=1
   - libnetcdf
   - nbdime
   - netcdf4=1.6.0
-  - notebook
   - pip
   - python<3.12
   - "tensorflow<2.16=cpu*"

From cc5156ed43603e9751f5e39bc65e0af9e4e24454 Mon Sep 17 00:00:00 2001
From: acoca <acocac@gmail.com>
Date: Tue, 10 Sep 2024 10:45:12 +0100
Subject: [PATCH 098/141] =?UTF-8?q?Bump=20version:=20v1.0.0=20=E2=86=92=20?=
 =?UTF-8?q?v1.0.1?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .bumpversion.cfg | 2 +-
 CITATION.cff     | 2 +-
 notebook.ipynb   | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/.bumpversion.cfg b/.bumpversion.cfg
index 3dd6671..f040343 100644
--- a/.bumpversion.cfg
+++ b/.bumpversion.cfg
@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = v1.0.0
+current_version = v1.0.1
 commit = True
 tag = True
 parse = (v(?P<major>\d+))(.(?P<minor>\d+))(.(?P<patch>\d+))
diff --git a/CITATION.cff b/CITATION.cff
index 88805a8..05f32d8 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -15,7 +15,7 @@ authors:
     orcid: "https://orcid.org/0000-0002-0206-7140"
   - name: "This EDS book notebook contributors"
     website: "https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/graphs/contributors"
-version: v1.0.0
+version: v1.0.1
 identifiers:
   - type: doi
     value: 10.5281/zenodo.12613298
diff --git a/notebook.ipynb b/notebook.ipynb
index 4224d47..22fa2c5 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -1204,7 +1204,7 @@
    "source": [
     "from datetime import date\n",
     "\n",
-    "print('Notebook repository version: v1.0.0')\n",
+    "print('Notebook repository version: v1.0.1')\n",
     "print(f'Last tested: {date.today()}')"
    ],
    "outputs": [],

From a2563e76becdedacfab0001da45658ac3c736696 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 14:09:40 +0000
Subject: [PATCH 099/141] rm badges

---
 notebook.ipynb | 41 +----------------------------------------
 1 file changed, 1 insertion(+), 40 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 22fa2c5..a8c9f13 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -8,46 +8,7 @@
      "outputs_hidden": false
     }
    },
-   "source": [
-    "# Sea ice forecasting using the IceNet library\n",
-    "\n",
-    "{bdg-primary}`Polar`\n",
-    "{bdg-secondary}`Modelling`\n",
-    "{bdg-warning}`Standard`\n",
-    "{bdg-info}`Python`\n",
-    "\n",
-    "<p align=\"left\">\n",
-    "    <a href=\"https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/blob/main/LICENSE\">\n",
-    "        <img alt=\"license\" src=\"https://img.shields.io/badge/license-MIT-yellow.svg\">\n",
-    "    </a>\n",
-    "    <a href=\"https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/actions/workflows/render.yaml\">\n",
-    "        <img alt=\"render\" src=\"https://github.com/eds-book-gallery/ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef/actions/workflows/render.yaml/badge.svg\">\n",
-    "    </a>\n",
-    "    <a href=\"https://github.com/alan-turing-institute/environmental-ds-book/issues/239\">\n",
-    "        <img alt=\"review\" src=\"https://img.shields.io/badge/view-review-purple\">\n",
-    "    </a>\n",
-    "    <br/>\n",
-    "</p>\n",
-    "\n",
-    "<p align=\"left\">\n",
-    "    <a href=\"http://mybinder.org/v2/gh/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/main?labpath=notebook.ipynb\">\n",
-    "        <img alt=\"binder\" src=\"https://mybinder.org/badge_logo.svg\">\n",
-    "    </a>\n",
-    "    <a href=\"https://replay.notebooks.egi.eu/v2/gh/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/main?labpath=notebook.ipynb\">\n",
-    "        <img alt=\"binder\" src=\"https://img.shields.io/badge/launch-EGI%20binder-F5A252.svg?logo=data:image/png;base64,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\">\n",
-    "    </a>\n",
-    "    <br/>\n",
-    "</p>\n",
-    "\n",
-    "<p align=\"left\">\n",
-    "    <a href=\"https://w3id.org/ro-id/c9df67a3-0d77-4029-8556-e62fcc95a35b\">\n",
-    "        <img alt=\"rohub\" src=\"https://img.shields.io/badge/RoHub-FAIR_Executable_Research_Object-2ea44f?logo=Open+Access&logoColor=blue\">\n",
-    "    </a>\n",
-    "    <a href=\"https://zenodo.org/badge/latestdoi/777128102\">\n",
-    "        <img alt=\"doi\" src=\"https://zenodo.org/badge/777128102.svg\">\n",
-    "    </a>\n",
-    "</p>"
-   ]
+   "source": "# Sea ice forecasting using the IceNet library"
   },
   {
    "cell_type": "markdown",

From 05b0f35212924d289b4b5c1a49cb190bd5be64c5 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 14:31:18 +0000
Subject: [PATCH 100/141] set myst

---
 myst.yml | 117 +++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 117 insertions(+)
 create mode 100644 myst.yml

diff --git a/myst.yml b/myst.yml
new file mode 100644
index 0000000..5ca9724
--- /dev/null
+++ b/myst.yml
@@ -0,0 +1,117 @@
+# See docs at: https://mystmd.org/guide/frontmatter
+version: 1
+extends:
+  - https://raw.githubusercontent.com/eds-book/edsbook-config/main/edsbook.yml
+project:
+  id: 67a1e320-7c47-4ea9-8df8-e868326bc90b
+  title: Sea ice forecasting using the IceNet library (Jupyter Notebook) published in the Environmental Data Science book
+  short_title: Daily sea ice forecasting (IceNet)
+  abstract: IceNet is a python library that provides the ability to download, process, train and predict from end to end. Users can interact with IceNet either via the python interface or via a set of command-line interfaces (CLI) which provide a high-level interface that covers the above abilities. This project demonstrates the use of the python library API for forecasting sea ice for a reduced dataset to demonstrate the end-to-end capabilities of IceNet, from source data download to forecast generation.
+  authors:
+    - id: jbyrne
+      name: James Byrne
+      orcid: 0000-0003-3731-2377
+      url: https://github.com/JimCircadian
+      roles:
+        - Investigation
+        - Software
+        - Visualization
+      affiliations:
+        - bas
+    - id: bnubald
+      name: Bryn Noel Ubald
+      orcid: 0000-0002-0206-7140
+      corresponding: true
+      email: bryald@bas.ac.uk
+      url: https://github.com/bnubald
+      roles:
+        - Investigation
+        - Software
+        - Visualization
+      affiliations:
+        - bas
+  reviewers:
+    - id: wji
+      name: Wei Ji
+      orcid: https://orcid.org/0000-0003-2354-1988
+      url: https://github.com/weiji14
+      roles:
+        - Writing – review & editing
+      affiliations:
+        - devseed
+    - id: wgregory
+      name: William Gregory
+      orcid: https://orcid.org/0000-0001-8176-1642
+      url: https://github.com/William-gregory
+      roles:
+        - Writing – review & editing
+      affiliations:
+        - princeton
+  editors:
+    - id: acoca
+      name: Alejandro Coca-Castro
+      orcid: 0000-0002-9264-1539
+      url: https://github.com/acocac
+      roles:
+        - Writing – review & editing
+      affiliations:
+        - turing
+  affiliations:
+    - id: bas
+      name: British Antarctic Survey
+      department: AI Lab
+    - id: devseed
+      name: Development Seed
+    - id: princeton
+      name: Princeton University
+    - id: turing
+      name: The Alan Turing Institute
+      department: Environment & Sustainability
+  subject: Oceanography
+  keywords:
+    - sea-ice
+    - forecast
+    - cryosphere
+    - antarctic
+    - arctic
+    - ice
+    - machine learning
+    - unet
+    - deep learning
+  venue:
+    title: Environmental Data Science Book
+    short_title: EDS Book
+    url: https://www.edsbook.org
+  issue:
+    name: Standard
+  thumbnail: images/thumbnail.png
+  requirements:
+    - environment.yml
+  doi: 10.5281/zenodo.12613298
+  github: https://github.com/eds-book/435f534c-e49b-43c3-9bd6-3393100bef3f
+  jupyter:
+    binder:
+      repo: eds-book/435f534c-e49b-43c3-9bd6-3393100bef3f
+  # To autogenerate a Table of Contents, run "jupyter book init --write-toc"
+  open_access: true
+  license:
+    content: CC-BY-4.0
+    code: MIT
+  date: 2024-07-01
+  toc:
+    - file: notebook.ipynb
+  exports:
+    - format: pdf
+      template: curvenote
+      article: notebook.ipynb
+      output: exports/notebook.pdf
+    - format: cff
+      type: software
+      version: v2.0.0
+      license: MIT
+      license-url: https://opensource.org/license/MIT
+  bibliography:
+    - references.bib
+
+site:
+  template: book-theme
\ No newline at end of file

From 0af22abe9c1e7661e76611c6dae41093ecd6d902 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 14:32:30 +0000
Subject: [PATCH 101/141] fix repo id

---
 myst.yml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/myst.yml b/myst.yml
index 5ca9724..0065604 100644
--- a/myst.yml
+++ b/myst.yml
@@ -88,10 +88,10 @@ project:
   requirements:
     - environment.yml
   doi: 10.5281/zenodo.12613298
-  github: https://github.com/eds-book/435f534c-e49b-43c3-9bd6-3393100bef3f
+  github: https://github.com/eds-book/67a1e320-7c47-4ea9-8df8-e868326bc90b
   jupyter:
     binder:
-      repo: eds-book/435f534c-e49b-43c3-9bd6-3393100bef3f
+      repo: eds-book/67a1e320-7c47-4ea9-8df8-e868326bc90b
   # To autogenerate a Table of Contents, run "jupyter book init --write-toc"
   open_access: true
   license:

From b712c4eaaa831d32a798870f964d90b9c0bc8b12 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 14:33:08 +0000
Subject: [PATCH 102/141] rm contributions section

---
 notebook.ipynb | 12 ------------
 1 file changed, 12 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index a8c9f13..d155dba 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -53,18 +53,6 @@
     "\n",
     "### Contributions\n",
     "\n",
-    "#### Notebook\n",
-    "* James Byrne (author), British Antarctic Survey, [@JimCircadian](https://github.com/JimCircadian), [ORCID](https://orcid.org/0000-0003-3731-2377)\n",
-    "* Bryn Noel Ubald (author), British Antarctic Survey, [@bnubald](https://github.com/bnubald), [ORCID](https://orcid.org/0000-0002-0206-7140)\n",
-    "* Wei Ji (reviewer), Development Seed, [@weiji14](https://github.com/weiji14), [ORCID](https://orcid.org/0000-0003-2354-1988)\n",
-    "* William Gregory (reviewer), Princeton University, [@William-gregory](https://github.com/William-gregory), [ORCID](https://orcid.org/0000-0001-8176-1642)\n",
-    "* Anne Fouilloux (editor), Simula Research Laboratory, [@annefou](https://github.com/annefou), [ORCID](https://orcid.org/0000-0002-1784-2920)\n",
-    "\n",
-    "#### Modelling codebase\n",
-    "* James Byrne (Code author)\n",
-    "* Tom Andersson (Science author)\n",
-    "* Bryn Noel Ubald (Code maintainer and contributor)\n",
-    "\n",
     ":::{note}\n",
     "__More in-depth notebooks on using IceNet are available [in this repository](https://github.com/icenet-ai/icenet-notebooks)__, including the use of ensemble modelling, and library extension to use different backends and neural network models.\n",
     "\n",

From ec0a268a55b726ff5c848eb52da86a1182fff0ef Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 14:37:43 +0000
Subject: [PATCH 103/141] change admonition types

---
 notebook.ipynb | 13 ++-----------
 1 file changed, 2 insertions(+), 11 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index d155dba..375ef4f 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -51,22 +51,13 @@
     "\n",
     "In terms of hardware, this notebook (and IceNet in general) does not require a GPU, however, when attempting a larger training run, the use of a GPU is highly recommended.\n",
     "\n",
-    "### Contributions\n",
-    "\n",
-    ":::{note}\n",
+    ":::{seealso}\n",
     "__More in-depth notebooks on using IceNet are available [in this repository](https://github.com/icenet-ai/icenet-notebooks)__, including the use of ensemble modelling, and library extension to use different backends and neural network models.\n",
     "\n",
     "Contact us at either _bryald \\<at\\> bas.ac.uk_ or _jambyr \\<at\\> bas.ac.uk_ for anything else...\n",
     ":::\n",
     "\n",
-    "#### Modelling publications\n",
-    "```{bibliography}\n",
-    "  :style: plain\n",
-    "  :list: bullet\n",
-    "  :filter: topic % \"67a1e320-7c47-4ea9-8df8-e868326bc90b\"\n",
-    "```\n",
-    "\n",
-    ":::{note}\n",
+    ":::{important}\n",
     "The original paper and notebook used a combination of climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration. Since then, the original code has been refactored into a new `icenet` library as showcased in this notebook.\n",
     "\n",
     "This library supports sea ice forecasting on a daily resolution rather than monthly-averaged. It has been developed significantly since the original paper to operationalise the code, and to that end, there are multiple ways of interacting with the library to help enable the development of sea ice forecasting and facilitate model development. More of these interfaces and use-case scenarios are covered in the [icenet-notebooks](https://github.com/icenet-ai/icenet-notebooks) repository.\n",

From d0e9dce6d8d7cd9acf8505e5fa2586b8063cb974 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 14:41:46 +0000
Subject: [PATCH 104/141] set references

---
 references.bib | 29 +++++++++++++++++++++++++++++
 1 file changed, 29 insertions(+)
 create mode 100644 references.bib

diff --git a/references.bib b/references.bib
new file mode 100644
index 0000000..9fe239d
--- /dev/null
+++ b/references.bib
@@ -0,0 +1,29 @@
+@misc{cocacastro2024_icenetnb,
+  author       = {Coca-Castro, Alejandro and
+                  This EDS book notebook contributors},
+  title        = {{Sea ice forecasting using IceNet (Jupyter
+                   Notebook) published in the Environmental Data
+                   Science book}},
+  month        = mar,
+  year         = {2024},
+  publisher    = {Zenodo},
+  version      = {v1.0.5},
+  doi          = {10.5281/zenodo.10808514},
+  url          = {https://doi.org/10.5281/zenodo.10808514},
+  topic = {67a1e320-7c47-4ea9-8df8-e868326bc90b}
+}
+
+@article{Andersson2021,
+   abstract = {Anthropogenic warming has led to an unprecedented year-round reduction in Arctic sea ice extent. This has far-reaching consequences for indigenous and local communities, polar ecosystems, and global climate, motivating the need for accurate seasonal sea ice forecasts. While physics-based dynamical models can successfully forecast sea ice concentration several weeks ahead, they struggle to outperform simple statistical benchmarks at longer lead times. We present a probabilistic, deep learning sea ice forecasting system, IceNet. The system has been trained on climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration maps. We show that IceNet advances the range of accurate sea ice forecasts, outperforming a state-of-the-art dynamical model in seasonal forecasts of summer sea ice, particularly for extreme sea ice events. This step-change in sea ice forecasting ability brings us closer to conservation tools that mitigate risks associated with rapid sea ice loss.},
+   author = {Tom R Andersson and J Scott Hosking and María Pérez-Ortiz and Brooks Paige and Andrew Elliott and Chris Russell and Stephen Law and Daniel C Jones and Jeremy Wilkinson and Tony Phillips and James Byrne and Steffen Tietsche and Beena Balan Sarojini and Eduardo Blanchard-Wrigglesworth and Yevgeny Aksenov and Rod Downie and Emily Shuckburgh},
+   doi = {10.1038/s41467-021-25257-4},
+   issn = {2041-1723},
+   issue = {1},
+   journal = {Nature Communications},
+   pages = {5124},
+   title = {Seasonal Arctic sea ice forecasting with probabilistic deep learning},
+   volume = {12},
+   url = {https://doi.org/10.1038/s41467-021-25257-4},
+   year = {2021},
+   topic = {ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef, 67a1e320-7c47-4ea9-8df8-e868326bc90b}
+}
\ No newline at end of file

From 68bb17d90d844afd6436f4e67a63cacaf677ce6b Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 14:42:11 +0000
Subject: [PATCH 105/141] set citations

---
 notebook.ipynb | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 375ef4f..2aecd05 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -58,7 +58,7 @@
     ":::\n",
     "\n",
     ":::{important}\n",
-    "The original paper and notebook used a combination of climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration. Since then, the original code has been refactored into a new `icenet` library as showcased in this notebook.\n",
+    "The original paper {cite:p}`Andersson2021` and notebook {cite:p}`cocacastro2024_icenetnb` used a combination of climate simulations and observational data to forecast the next 6 months of monthly-averaged sea ice concentration. Since then, the original code has been refactored into a new `icenet` library as showcased in this notebook.\n",
     "\n",
     "This library supports sea ice forecasting on a daily resolution rather than monthly-averaged. It has been developed significantly since the original paper to operationalise the code, and to that end, there are multiple ways of interacting with the library to help enable the development of sea ice forecasting and facilitate model development. More of these interfaces and use-case scenarios are covered in the [icenet-notebooks](https://github.com/icenet-ai/icenet-notebooks) repository.\n",
     ":::\n",

From 07b986ec87cdcaf04acebb52ec98e4122d522188 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 14:47:42 +0000
Subject: [PATCH 106/141] update gh org

---
 .github/workflows/build.yaml   | 3 +--
 .github/workflows/preview.yaml | 8 ++++----
 .github/workflows/test.yaml    | 2 +-
 3 files changed, 6 insertions(+), 7 deletions(-)

diff --git a/.github/workflows/build.yaml b/.github/workflows/build.yaml
index 8b8d2a3..3cefe13 100644
--- a/.github/workflows/build.yaml
+++ b/.github/workflows/build.yaml
@@ -4,13 +4,12 @@ on:
   push:
     branches:
       - main
-      - preparation
       - postprint
 
 jobs:
   build-and-push:
     runs-on: ubuntu-latest
-    if: github.repository_owner == 'eds-book-gallery'
+    if: github.repository_owner == 'eds-book'
     steps:
     # For biggish images, github actions runs out of disk space.
     # So we cleanup some unwanted things in the disk image, and reclaim that space for our docker use
diff --git a/.github/workflows/preview.yaml b/.github/workflows/preview.yaml
index d65d4e4..5a1037d 100644
--- a/.github/workflows/preview.yaml
+++ b/.github/workflows/preview.yaml
@@ -3,14 +3,14 @@ name: Preview
 on:
   workflow_run:
     workflows: ["Build and push container image"]
-    branches: [preparation, postprint]
+    branches: [postprint]
     types: [completed]
-      
+
 # This job installs dependencies, build the jupyter notebook, and pushes it to `preview`, a new `branch`
 jobs:
   on-success:
     runs-on: ubuntu-latest
-    if: ${{ github.repository_owner == 'eds-book-gallery' && github.event.workflow_run.conclusion == 'success' }}
+    if: ${{ github.repository_owner == 'eds-book' && github.event.workflow_run.conclusion == 'success' }}
     defaults:
       run:
         shell: bash -l {0}
@@ -68,7 +68,7 @@ jobs:
          force: true
   on-failure:
     runs-on: ubuntu-latest
-    if: ${{ github.repository_owner == 'eds-book-gallery' && github.event.workflow_run.conclusion == 'failure' }}
+    if: ${{ github.repository_owner == 'eds-book' && github.event.workflow_run.conclusion == 'failure' }}
     steps:
       - name: Check conditions meet
         run: echo 'The triggering workflow failed'
\ No newline at end of file
diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index 69140db..1f7cb64 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -6,7 +6,7 @@ on:
 jobs:
   test-build:
     runs-on: ubuntu-latest
-    if: github.repository_owner == 'eds-book-gallery'
+    if: github.repository_owner == 'eds-book'
     steps:
 
     # For biggish images, github actions runs out of disk space.

From 77a473f9652f36b454378c4a05349f66110eddb3 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 14:47:51 +0000
Subject: [PATCH 107/141] set deploy workflow

---
 .github/workflows/deploy.yml | 52 ++++++++++++++++++++++++++++++++++++
 1 file changed, 52 insertions(+)
 create mode 100644 .github/workflows/deploy.yml

diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml
new file mode 100644
index 0000000..40e2be2
--- /dev/null
+++ b/.github/workflows/deploy.yml
@@ -0,0 +1,52 @@
+# This file was created automatically with `myst init --gh-pages` 🪄 💚
+
+name: MyST GitHub Pages Deploy
+on:
+  workflow_run:
+    workflows: ["Execute Notebook"]
+    branches: main
+    types:
+      - completed
+
+env:
+  # `BASE_URL` determines the website is served from, including CSS & JS assets
+  # You may need to change this to `BASE_URL: ''`
+  BASE_URL: /${{ github.event.repository.name }}
+
+# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
+permissions:
+  contents: read
+  pages: write
+  id-token: write
+# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued.
+# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete.
+concurrency:
+  group: 'pages'
+  cancel-in-progress: false
+jobs:
+  deploy:
+    environment:
+      name: github-pages
+      url: ${{ steps.deployment.outputs.page_url }}
+    runs-on: ubuntu-latest
+    if: github.repository_owner == 'eds-book'
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          ref: render
+      - name: Setup Pages
+        uses: actions/configure-pages@v3
+      - uses: actions/setup-node@v4
+        with:
+          node-version: 18.x
+      - name: Install MyST Markdown
+        run: npm install -g mystmd
+      - name: Build HTML Assets
+        run: myst build --html
+      - name: Upload artifact
+        uses: actions/upload-pages-artifact@v3
+        with:
+          path: './_build/html'
+      - name: Deploy to GitHub Pages
+        id: deployment
+        uses: actions/deploy-pages@v4

From 096e0b4aa1d024037122ab877a8e0192a70cac87 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 14:48:03 +0000
Subject: [PATCH 108/141] set execute workflow

---
 .../workflows/{render.yaml => execute.yaml}   | 32 +++++++++++++++----
 1 file changed, 26 insertions(+), 6 deletions(-)
 rename .github/workflows/{render.yaml => execute.yaml} (73%)

diff --git a/.github/workflows/render.yaml b/.github/workflows/execute.yaml
similarity index 73%
rename from .github/workflows/render.yaml
rename to .github/workflows/execute.yaml
index cde78a4..60287e9 100644
--- a/.github/workflows/render.yaml
+++ b/.github/workflows/execute.yaml
@@ -1,4 +1,4 @@
-name: Render
+name: Execute Notebook
 
 on:
   workflow_run:
@@ -6,14 +6,35 @@ on:
     branches: main
     types:
       - completed
-      
+
+env:
+  # `BASE_URL` determines the website is served from, including CSS & JS assets
+  # You may need to change this to `BASE_URL: ''`
+  BASE_URL: /${{ github.event.repository.name }}
+
+# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
+permissions: write-all
+
+# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued.
+# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete.
+concurrency:
+  group: 'pages'
+  cancel-in-progress: false
+
 # This job installs dependencies, build the jupyter notebook, and pushes it to `render`, a new `branch`
 jobs:
   build:
     name: ${{ matrix.os }}
     runs-on: ${{ matrix.os }}
+    environment:
+      name: github-pages
+      url: ${{ steps.deployment.outputs.page_url }}
+
+#    permissions:
+#      id-token: write
+#      pages: write
 
-    if: github.repository_owner == 'eds-book-gallery'
+    if: github.repository_owner == 'eds-book'
     strategy:
       fail-fast: false
       matrix:
@@ -27,7 +48,7 @@ jobs:
       - name: Get properties from the config file
         id: config_file
         uses: notiz-dev/github-action-json-property@release
-        with: 
+        with:
           path: '.github/config.json'
           prop_path: 'notebook_name'
       # Set quay image
@@ -60,7 +81,6 @@ jobs:
           ls
           git config --local user.email "41898282+github-actions[bot]@users.noreply.github.com"
           git config --local user.name "github-actions[bot]"
-          git rm \* ':!${{steps.config_file.outputs.prop}}'
           git add ${{steps.config_file.outputs.prop}}
           git commit -m 'update'
       - name: Push
@@ -68,4 +88,4 @@ jobs:
         with:
          github_token: ${{ secrets.GITHUB_TOKEN }}
          branch: render
-         force: true
+         force: true
\ No newline at end of file

From 8c3ff81d777a539dcdfe80b8336d72e0900db87f Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 14:48:31 +0000
Subject: [PATCH 109/141] set myst.yml in bumpversion

---
 .bumpversion.cfg | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.bumpversion.cfg b/.bumpversion.cfg
index f040343..e695118 100644
--- a/.bumpversion.cfg
+++ b/.bumpversion.cfg
@@ -5,7 +5,7 @@ tag = True
 parse = (v(?P<major>\d+))(.(?P<minor>\d+))(.(?P<patch>\d+))
 serialize = v{major}.{minor}.{patch}
 
-[bumpversion:file:CITATION.cff]
+[bumpversion:file:myst.yml]
 
 [bumpversion:file:notebook.ipynb]
 search = "print('Notebook repository version: {current_version}')\n"

From 0c797200f3a716fdf0242830935bdcea35c5e36f Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 14:50:09 +0000
Subject: [PATCH 110/141] change gh for CITATION.cff

---
 notebook.ipynb | 4 +---
 1 file changed, 1 insertion(+), 3 deletions(-)

diff --git a/notebook.ipynb b/notebook.ipynb
index 2aecd05..fb3ff7a 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -1106,9 +1106,7 @@
   {
    "cell_type": "markdown",
    "metadata": {},
-   "source": [
-    "Please see [CITATION.cff](https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/blob/main/CITATION.cff) for the full citation information. The citation file can be exported to APA or BibTex formats (learn more [here](https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-citation-files))."
-   ]
+   "source": "Please see [CITATION.cff](https://github.com/eds-book/67a1e320-7c47-4ea9-8df8-e868326bc90b/blob/main/CITATION.cff) for the full citation information. The citation file can be exported to APA or BibTex formats (learn more [here](https://docs.github.com/en/repositories/managing-your-repositorys-settings-and-features/customizing-your-repository/about-citation-files))."
   },
   {
    "cell_type": "markdown",

From 91ed9bbc547843a6011f3b9d91e7d82d4120a1f0 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 14:50:30 +0000
Subject: [PATCH 111/141] fix url to edsbook logo

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index f08c989..83ddf1c 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,7 @@
 </div>
 
 <p align="center">
-<img src="https://github.com/alan-turing-institute/environmental-ds-book/blob/master/book/figures/logo/logo.png?raw=True" alt="thumbnail" width="200"/>
+<img src="https://github.com/alan-turing-institute/environmental-ds-book/blob/main/book/figures/logo/logo.png?raw=True" alt="thumbnail" width="200"/>
 </p>
 
 <div align="center">

From 8f8565c1a003d697f6390eb112eafe9889b239e3 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 14:51:42 +0000
Subject: [PATCH 112/141] set _gallery_info.yml

---
 _gallery_info.yml | 10 ++++++++++
 1 file changed, 10 insertions(+)
 create mode 100644 _gallery_info.yml

diff --git a/_gallery_info.yml b/_gallery_info.yml
new file mode 100644
index 0000000..9bc65c3
--- /dev/null
+++ b/_gallery_info.yml
@@ -0,0 +1,10 @@
+thumbnail: images/thumbnail.png
+tags:
+  domains:
+    - Cryosphere
+  type:
+    - Exploration
+  issue:
+    - Standard
+  language:
+    - Python
\ No newline at end of file

From 217f35d022804051c2d5ff563a1eb874f13e68a9 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 14:52:22 +0000
Subject: [PATCH 113/141] add review in additional information

---
 notebook.ipynb | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/notebook.ipynb b/notebook.ipynb
index fb3ff7a..3aa73bd 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -1113,6 +1113,9 @@
    "metadata": {},
    "source": [
     "## Additional information\n",
+    "\n",
+    "**Review**: This notebook has been reviewed by one or more members of the Environmental Data Science book community. The open review is available [here](https://github.com/alan-turing-institute/environmental-ds-book/issues/239).\n",
+    "\n",
     "**Codebase**: [IceNet v0.2.9a1](https://github.com/icenet-ai/icenet/tree/0bac48fbc6447d937498b2c7240a2bd946430700).\n",
     "\n",
     "**License**: The code in this notebook is licensed under the MIT License. The Environmental Data Science book is licensed under the Creative Commons by Attribution 4.0 license. See further details [here](https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/blob/main/LICENSE).\n",

From 28c813d891126df4ef10b3aff763da079bc03228 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 14:53:08 +0000
Subject: [PATCH 114/141] =?UTF-8?q?Bump=20version:=20v1.0.1=20=E2=86=92=20?=
 =?UTF-8?q?v2.0.0?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .bumpversion.cfg | 2 +-
 notebook.ipynb   | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/.bumpversion.cfg b/.bumpversion.cfg
index e695118..8a5020a 100644
--- a/.bumpversion.cfg
+++ b/.bumpversion.cfg
@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = v1.0.1
+current_version = v2.0.0
 commit = True
 tag = True
 parse = (v(?P<major>\d+))(.(?P<minor>\d+))(.(?P<patch>\d+))
diff --git a/notebook.ipynb b/notebook.ipynb
index 3aa73bd..180f52f 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -1145,7 +1145,7 @@
    "source": [
     "from datetime import date\n",
     "\n",
-    "print('Notebook repository version: v1.0.1')\n",
+    "print('Notebook repository version: v2.0.0')\n",
     "print(f'Last tested: {date.today()}')"
    ],
    "outputs": [],

From 534ce275f0da17b2c5fc00258dc70f21e8a465d7 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 14:53:46 +0000
Subject: [PATCH 115/141] generate CITATION.cff from myst acocac 53 minutes ago

---
 CITATION.cff | 66 +++++++++++++++++++++++++---------------------------
 1 file changed, 32 insertions(+), 34 deletions(-)

diff --git a/CITATION.cff b/CITATION.cff
index 05f32d8..3c77a2f 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -1,45 +1,39 @@
 cff-version: 1.2.0
-title: "Sea ice forecasting using the IceNet library (Jupyter Notebook) published in the Environmental Data Science book"
-message: "If you use this software, please cite it as below."
-type: software
+message: Please cite the following works when using this project.
+abstract: >-
+  IceNet is a python library that provides the ability to download, process,
+  train and predict from end to end. Users can interact with IceNet either via
+  the python interface or via a set of command-line interfaces (CLI) which
+  provide a high-level interface that covers the above abilities. This project
+  demonstrates the use of the python library API for forecasting sea ice for a
+  reduced dataset to demonstrate the end-to-end capabilities of IceNet, from
+  source data download to forecast generation.
+title: >-
+  Sea ice forecasting using the IceNet library (Jupyter Notebook) published in
+  the Environmental Data Science book
 authors:
-  - given-names: James
-    family-names: Byrne
-    email: jambyr@bas.ac.uk
+  - family-names: Byrne
+    given-names: James
     affiliation: British Antarctic Survey
-    orcid: "https://orcid.org/0000-0003-3731-2377"
-  - given-names: Bryn Noel
-    family-names: Ubald
+    orcid: 0000-0003-3731-2377
+    website: https://github.com/JimCircadian
+  - family-names: Ubald
+    given-names: Bryn Noel
+    affiliation: British Antarctic Survey
+    orcid: 0000-0002-0206-7140
     email: bryald@bas.ac.uk
+    website: https://github.com/bnubald
+date-released: '2024-07-01'
+contact:
+  - family-names: Ubald
+    given-names: Bryn Noel
     affiliation: British Antarctic Survey
-    orcid: "https://orcid.org/0000-0002-0206-7140"
-  - name: "This EDS book notebook contributors"
-    website: "https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/graphs/contributors"
-version: v1.0.1
+    orcid: 0000-0002-0206-7140
+    email: bryald@bas.ac.uk
+    website: https://github.com/bnubald
 identifiers:
   - type: doi
     value: 10.5281/zenodo.12613298
-    description: The concept DOI for the collection containing all versions of the notebook.
-  - type: doi
-    value: 10.1038/s41467-021-25257-4
-    description: Original paper on IceNet
-repository-code: >-
-  https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b
-url: "https://icenet.ai/"
-repository: "https://github.com/icenet-ai/icenet"
-abstract: >-
-  IceNet is a python library that provides the ability to
-  download, process, train and predict from end to end.
-  Users can interact with IceNet either via the python
-  interface or via a set of command-line interfaces (CLI)
-  which provide a high-level interface that covers the above
-  abilities.
-
-
-  This project demonstrates the use of the python library
-  API for forecasting sea ice for a reduced dataset to
-  demonstrate the end-to-end capabilities of IceNet, from
-  source data download to forecast generation.
 keywords:
   - sea-ice
   - forecast
@@ -51,3 +45,7 @@ keywords:
   - unet
   - deep learning
 license: MIT
+license-url: https://opensource.org/license/MIT
+repository: https://github.com/eds-book/67a1e320-7c47-4ea9-8df8-e868326bc90b
+type: software
+version: v2.0.0

From 645b8016e4bccf72c03e030beec75f0b36227eb9 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 15:11:59 +0000
Subject: [PATCH 116/141] change subject

---
 myst.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/myst.yml b/myst.yml
index 0065604..647c41b 100644
--- a/myst.yml
+++ b/myst.yml
@@ -67,7 +67,7 @@ project:
     - id: turing
       name: The Alan Turing Institute
       department: Environment & Sustainability
-  subject: Oceanography
+  subject: Cryosphere
   keywords:
     - sea-ice
     - forecast

From b0dd9056537633d4bba6809782c7602c6d0bbe5e Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sat, 15 Mar 2025 15:50:50 +0000
Subject: [PATCH 117/141] set modelling type

---
 _gallery_info.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_gallery_info.yml b/_gallery_info.yml
index 9bc65c3..6307035 100644
--- a/_gallery_info.yml
+++ b/_gallery_info.yml
@@ -3,7 +3,7 @@ tags:
   domains:
     - Cryosphere
   type:
-    - Exploration
+    - Modelling
   issue:
     - Standard
   language:

From b638791b21fca39f809a669a719b1e72014d505e Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Thu, 20 Mar 2025 08:41:44 +0000
Subject: [PATCH 118/141] fix editor

---
 myst.yml | 15 +++++++--------
 1 file changed, 7 insertions(+), 8 deletions(-)

diff --git a/myst.yml b/myst.yml
index 647c41b..d1001f6 100644
--- a/myst.yml
+++ b/myst.yml
@@ -48,14 +48,14 @@ project:
       affiliations:
         - princeton
   editors:
-    - id: acoca
-      name: Alejandro Coca-Castro
-      orcid: 0000-0002-9264-1539
-      url: https://github.com/acocac
+    - id: annefou
+      name: Anne Fouilloux
+      orcid: 0000-0002-1784-2920
+      url: https://github.com/annefou
       roles:
         - Writing – review & editing
       affiliations:
-        - turing
+        - simula
   affiliations:
     - id: bas
       name: British Antarctic Survey
@@ -64,9 +64,8 @@ project:
       name: Development Seed
     - id: princeton
       name: Princeton University
-    - id: turing
-      name: The Alan Turing Institute
-      department: Environment & Sustainability
+    - id: simula
+      name: Simula Research Laboratory
   subject: Cryosphere
   keywords:
     - sea-ice

From c4363e2309bf72a5c65c4512db4a2d293d2120d1 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Thu, 20 Mar 2025 08:42:32 +0000
Subject: [PATCH 119/141] fix id editor

---
 myst.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/myst.yml b/myst.yml
index d1001f6..ca83a50 100644
--- a/myst.yml
+++ b/myst.yml
@@ -48,7 +48,7 @@ project:
       affiliations:
         - princeton
   editors:
-    - id: annefou
+    - id: afouilloux
       name: Anne Fouilloux
       orcid: 0000-0002-1784-2920
       url: https://github.com/annefou

From 6b36074ecb2dfe5b25f13797906030ad75f3ed1c Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Thu, 20 Mar 2025 08:55:39 +0000
Subject: [PATCH 120/141] change issue type

---
 _gallery_info.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_gallery_info.yml b/_gallery_info.yml
index 6307035..e7e6450 100644
--- a/_gallery_info.yml
+++ b/_gallery_info.yml
@@ -5,6 +5,6 @@ tags:
   type:
     - Modelling
   issue:
-    - Standard
+    - Special Issue
   language:
     - Python
\ No newline at end of file

From b915a99fb4737e6c50b7f3cabf01f82c7f833711 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Thu, 20 Mar 2025 08:55:57 +0000
Subject: [PATCH 121/141] Revert "change issue type"

This reverts commit 6b36074ecb2dfe5b25f13797906030ad75f3ed1c.
---
 _gallery_info.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/_gallery_info.yml b/_gallery_info.yml
index e7e6450..6307035 100644
--- a/_gallery_info.yml
+++ b/_gallery_info.yml
@@ -5,6 +5,6 @@ tags:
   type:
     - Modelling
   issue:
-    - Special Issue
+    - Standard
   language:
     - Python
\ No newline at end of file

From e019f0a914abe4672f76b957d82a1953ca43953a Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Thu, 27 Mar 2025 08:55:51 +0000
Subject: [PATCH 122/141] update keywords

---
 CITATION.cff | 13 ++++---------
 myst.yml     | 13 ++++---------
 2 files changed, 8 insertions(+), 18 deletions(-)

diff --git a/CITATION.cff b/CITATION.cff
index 3c77a2f..277e685 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -35,15 +35,10 @@ identifiers:
   - type: doi
     value: 10.5281/zenodo.12613298
 keywords:
-  - sea-ice
-  - forecast
-  - cryosphere
-  - antarctic
-  - arctic
-  - ice
-  - machine learning
-  - unet
-  - deep learning
+  - Sea-ice
+  - Modelling
+  - Standard
+  - Python
 license: MIT
 license-url: https://opensource.org/license/MIT
 repository: https://github.com/eds-book/67a1e320-7c47-4ea9-8df8-e868326bc90b
diff --git a/myst.yml b/myst.yml
index ca83a50..72f5672 100644
--- a/myst.yml
+++ b/myst.yml
@@ -68,15 +68,10 @@ project:
       name: Simula Research Laboratory
   subject: Cryosphere
   keywords:
-    - sea-ice
-    - forecast
-    - cryosphere
-    - antarctic
-    - arctic
-    - ice
-    - machine learning
-    - unet
-    - deep learning
+    - Sea-ice
+    - Modelling
+    - Standard
+    - Python
   venue:
     title: Environmental Data Science Book
     short_title: EDS Book

From 34c461c86e0649fb0c05b39a688ca28b1ec247bc Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Thu, 27 Mar 2025 08:55:57 +0000
Subject: [PATCH 123/141] update subject

---
 myst.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/myst.yml b/myst.yml
index 72f5672..9353640 100644
--- a/myst.yml
+++ b/myst.yml
@@ -66,7 +66,7 @@ project:
       name: Princeton University
     - id: simula
       name: Simula Research Laboratory
-  subject: Cryosphere
+  subject: Sea-Ice
   keywords:
     - Sea-ice
     - Modelling

From 55f31bfa435d388907b8b6487f4227f27ead5715 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Thu, 27 Mar 2025 08:56:05 +0000
Subject: [PATCH 124/141] rm gallery file

---
 _gallery_info.yml | 10 ----------
 1 file changed, 10 deletions(-)
 delete mode 100644 _gallery_info.yml

diff --git a/_gallery_info.yml b/_gallery_info.yml
deleted file mode 100644
index 6307035..0000000
--- a/_gallery_info.yml
+++ /dev/null
@@ -1,10 +0,0 @@
-thumbnail: images/thumbnail.png
-tags:
-  domains:
-    - Cryosphere
-  type:
-    - Modelling
-  issue:
-    - Standard
-  language:
-    - Python
\ No newline at end of file

From 93f7a511b981fdd2cd2786d2df5335241ca37ee6 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Mon, 21 Apr 2025 21:59:05 +0100
Subject: [PATCH 125/141] update subject and keywords

---
 CITATION.cff | 2 +-
 myst.yml     | 4 ++--
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/CITATION.cff b/CITATION.cff
index 277e685..fde3294 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -35,7 +35,7 @@ identifiers:
   - type: doi
     value: 10.5281/zenodo.12613298
 keywords:
-  - Sea-ice
+  - Cryosphere
   - Modelling
   - Standard
   - Python
diff --git a/myst.yml b/myst.yml
index 9353640..c2460df 100644
--- a/myst.yml
+++ b/myst.yml
@@ -66,9 +66,9 @@ project:
       name: Princeton University
     - id: simula
       name: Simula Research Laboratory
-  subject: Sea-Ice
+  subject: Cryosphere
   keywords:
-    - Sea-ice
+    - Cryosphere
     - Modelling
     - Standard
     - Python

From ba132d0f15327158ee99f0e983005774f16e96b0 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Mon, 19 May 2025 21:28:28 +0100
Subject: [PATCH 126/141] em old config

---
 .github/config.json | 5 -----
 1 file changed, 5 deletions(-)
 delete mode 100644 .github/config.json

diff --git a/.github/config.json b/.github/config.json
deleted file mode 100644
index ed76244..0000000
--- a/.github/config.json
+++ /dev/null
@@ -1,5 +0,0 @@
-{
-    "notebook_name": "notebook.ipynb",
-    "kernel": "python",
-    "quay_image": "edsbook/67a1e320-7c47-4ea9-8df8-e868326bc90b"
-}
\ No newline at end of file

From 11cda148c3fa887568817fb802a9faa40e333db7 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Mon, 19 May 2025 21:28:36 +0100
Subject: [PATCH 127/141] rm old actions

---
 .github/workflows/build.yaml   | 48 ------------------
 .github/workflows/deploy.yml   | 52 -------------------
 .github/workflows/execute.yaml | 91 ----------------------------------
 .github/workflows/preview.yaml | 74 ---------------------------
 4 files changed, 265 deletions(-)
 delete mode 100644 .github/workflows/build.yaml
 delete mode 100644 .github/workflows/deploy.yml
 delete mode 100644 .github/workflows/execute.yaml
 delete mode 100644 .github/workflows/preview.yaml

diff --git a/.github/workflows/build.yaml b/.github/workflows/build.yaml
deleted file mode 100644
index 3cefe13..0000000
--- a/.github/workflows/build.yaml
+++ /dev/null
@@ -1,48 +0,0 @@
-name: Build and push container image
-
-on:
-  push:
-    branches:
-      - main
-      - postprint
-
-jobs:
-  build-and-push:
-    runs-on: ubuntu-latest
-    if: github.repository_owner == 'eds-book'
-    steps:
-    # For biggish images, github actions runs out of disk space.
-    # So we cleanup some unwanted things in the disk image, and reclaim that space for our docker use
-    # https://github.com/actions/virtual-environments/issues/2606#issuecomment-772683150
-    # and https://github.com/easimon/maximize-build-space/blob/b4d02c14493a9653fe7af06cc89ca5298071c66e/action.yml#L104
-    # This gives us a total of about 52G of free space, which should be enough for now
-    - name: cleanup disk space
-      run: |
-        sudo rm -rf /usr/local/lib/android /usr/share/dotnet /opt/ghc
-        df -h
-
-    - name: Checkout files in repo
-      uses: actions/checkout@main
-
-    # Set quay image
-    - name: Get properties from the config file
-      id: config_quay
-      uses: notiz-dev/github-action-json-property@release
-      with:
-        path: '.github/config.json'
-        prop_path: 'quay_image'
-
-    - name: Build and push the image to quay.io
-      uses: jupyterhub/repo2docker-action@master
-      with:
-        # Make sure username & password/token pair matches your registry credentials
-        DOCKER_USERNAME: ${{ secrets.QUAY_USERNAME }}
-        DOCKER_PASSWORD: ${{ secrets.QUAY_PASSWORD }}
-        DOCKER_REGISTRY: "quay.io"
-
-        # Uncomment and modify the following line with your image name, otherwise no push will happen
-        IMAGE_NAME: ${{steps.config_quay.outputs.prop}}
-
-    # Lets us monitor disks getting full as images get bigger over time
-    - name: Show how much disk space is left
-      run: df -h
\ No newline at end of file
diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml
deleted file mode 100644
index 40e2be2..0000000
--- a/.github/workflows/deploy.yml
+++ /dev/null
@@ -1,52 +0,0 @@
-# This file was created automatically with `myst init --gh-pages` 🪄 💚
-
-name: MyST GitHub Pages Deploy
-on:
-  workflow_run:
-    workflows: ["Execute Notebook"]
-    branches: main
-    types:
-      - completed
-
-env:
-  # `BASE_URL` determines the website is served from, including CSS & JS assets
-  # You may need to change this to `BASE_URL: ''`
-  BASE_URL: /${{ github.event.repository.name }}
-
-# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
-permissions:
-  contents: read
-  pages: write
-  id-token: write
-# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued.
-# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete.
-concurrency:
-  group: 'pages'
-  cancel-in-progress: false
-jobs:
-  deploy:
-    environment:
-      name: github-pages
-      url: ${{ steps.deployment.outputs.page_url }}
-    runs-on: ubuntu-latest
-    if: github.repository_owner == 'eds-book'
-    steps:
-      - uses: actions/checkout@v4
-        with:
-          ref: render
-      - name: Setup Pages
-        uses: actions/configure-pages@v3
-      - uses: actions/setup-node@v4
-        with:
-          node-version: 18.x
-      - name: Install MyST Markdown
-        run: npm install -g mystmd
-      - name: Build HTML Assets
-        run: myst build --html
-      - name: Upload artifact
-        uses: actions/upload-pages-artifact@v3
-        with:
-          path: './_build/html'
-      - name: Deploy to GitHub Pages
-        id: deployment
-        uses: actions/deploy-pages@v4
diff --git a/.github/workflows/execute.yaml b/.github/workflows/execute.yaml
deleted file mode 100644
index 60287e9..0000000
--- a/.github/workflows/execute.yaml
+++ /dev/null
@@ -1,91 +0,0 @@
-name: Execute Notebook
-
-on:
-  workflow_run:
-    workflows: ["Build and push container image"]
-    branches: main
-    types:
-      - completed
-
-env:
-  # `BASE_URL` determines the website is served from, including CSS & JS assets
-  # You may need to change this to `BASE_URL: ''`
-  BASE_URL: /${{ github.event.repository.name }}
-
-# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
-permissions: write-all
-
-# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued.
-# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete.
-concurrency:
-  group: 'pages'
-  cancel-in-progress: false
-
-# This job installs dependencies, build the jupyter notebook, and pushes it to `render`, a new `branch`
-jobs:
-  build:
-    name: ${{ matrix.os }}
-    runs-on: ${{ matrix.os }}
-    environment:
-      name: github-pages
-      url: ${{ steps.deployment.outputs.page_url }}
-
-#    permissions:
-#      id-token: write
-#      pages: write
-
-    if: github.repository_owner == 'eds-book'
-    strategy:
-      fail-fast: false
-      matrix:
-        os: ["ubuntu-latest"]
-    defaults:
-      run:
-        shell: bash -l {0}
-    steps:
-      - uses: actions/checkout@v2
-      # Set notebook name
-      - name: Get properties from the config file
-        id: config_file
-        uses: notiz-dev/github-action-json-property@release
-        with:
-          path: '.github/config.json'
-          prop_path: 'notebook_name'
-      # Set quay image
-      - name: Get properties from the config file
-        id: config_quay
-        uses: notiz-dev/github-action-json-property@release
-        with:
-          path: '.github/config.json'
-          prop_path: 'quay_image'
-      # Set kernel name
-      - name: Get properties from the config file
-        id: config_kernel
-        uses: notiz-dev/github-action-json-property@release
-        with:
-          path: '.github/config.json'
-          prop_path: 'kernel'
-      # Render the notebook
-      - name: Run the build process with Docker
-        uses: addnab/docker-run-action@v3
-        with:
-            image: quay.io/${{steps.config_quay.outputs.prop}}:latest
-            options: --user root -v ${{ github.workspace }}:/tmp
-            shell: bash
-            run: |
-                v=$(jupyter kernelspec list | awk '{print $1}' | egrep ${{steps.config_kernel.outputs.prop}})
-                jupyter-nbconvert --to notebook --ExecutePreprocessor.kernel_name="$v" --inplace --execute ${{steps.config_file.outputs.prop}}
-                cp ${{steps.config_file.outputs.prop}}  /tmp
-      - name: Commit
-        run: |
-          ls
-          git config --local user.email "41898282+github-actions[bot]@users.noreply.github.com"
-          git config --local user.name "github-actions[bot]"
-          git add ${{steps.config_file.outputs.prop}}
-          git commit -m 'update'
-      - name: Push
-        uses: ad-m/github-push-action@master
-        with:
-         github_token: ${{ secrets.GITHUB_TOKEN }}
-         branch: render
-         force: true
\ No newline at end of file
diff --git a/.github/workflows/preview.yaml b/.github/workflows/preview.yaml
deleted file mode 100644
index 5a1037d..0000000
--- a/.github/workflows/preview.yaml
+++ /dev/null
@@ -1,74 +0,0 @@
-name: Preview
-
-on:
-  workflow_run:
-    workflows: ["Build and push container image"]
-    branches: [postprint]
-    types: [completed]
-
-# This job installs dependencies, build the jupyter notebook, and pushes it to `preview`, a new `branch`
-jobs:
-  on-success:
-    runs-on: ubuntu-latest
-    if: ${{ github.repository_owner == 'eds-book' && github.event.workflow_run.conclusion == 'success' }}
-    defaults:
-      run:
-        shell: bash -l {0}
-    steps:
-      - name: Check conditions meet
-        run: echo 'The triggering workflow passed'
-      - uses: actions/checkout@v2
-        with:
-          ref: postprint
-      # Set notebook name
-      - name: Get properties from the config file
-        id: config_file
-        uses: notiz-dev/github-action-json-property@release
-        with:
-          path: '.github/config.json'
-          prop_path: 'notebook_name'
-      # Set quay image
-      - name: Get properties from the config file
-        id: config_quay
-        uses: notiz-dev/github-action-json-property@release
-        with:
-          path: '.github/config.json'
-          prop_path: 'quay_image'
-      # Set kernel name
-      - name: Get properties from the config file
-        id: config_kernel
-        uses: notiz-dev/github-action-json-property@release
-        with:
-          path: '.github/config.json'
-          prop_path: 'kernel'
-      # Render the notebook
-      - name: Run the build process with Docker
-        uses: addnab/docker-run-action@v3
-        with:
-            image: quay.io/${{steps.config_quay.outputs.prop}}:latest
-            options: --user root -v ${{ github.workspace }}:/tmp
-            shell: bash
-            run: |
-                v=$(jupyter kernelspec list | awk '{print $1}' | egrep ${{steps.config_kernel.outputs.prop}})
-                jupyter-nbconvert --to notebook --ExecutePreprocessor.kernel_name="$v" --inplace --execute ${{steps.config_file.outputs.prop}}
-                cp ${{steps.config_file.outputs.prop}}  /tmp
-      - name: Commit
-        run: |
-          ls
-          git config --local user.email "41898282+github-actions[bot]@users.noreply.github.com"
-          git config --local user.name "github-actions[bot]"
-          git rm \* ':!${{steps.config_file.outputs.prop}}'
-          git add ${{steps.config_file.outputs.prop}}
-          git commit -m 'update'
-      - name: Push
-        uses: ad-m/github-push-action@master
-        with:
-         github_token: ${{ secrets.GITHUB_TOKEN }}
-         branch: preview
-         force: true
-  on-failure:
-    runs-on: ubuntu-latest
-    if: ${{ github.repository_owner == 'eds-book' && github.event.workflow_run.conclusion == 'failure' }}
-    steps:
-      - name: Check conditions meet
-        run: echo 'The triggering workflow failed'
\ No newline at end of file

From bec19ca9716e95986b4b91c240c83d223d6205a7 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Mon, 19 May 2025 21:28:44 +0100
Subject: [PATCH 128/141] update actions

---
 .github/workflows/binder.yaml        | 27 +++----------------
 .github/workflows/monthly-build.yaml | 12 +++++++++
 .github/workflows/publish.yaml       | 18 +++++++++++++
 .github/workflows/test.yaml          | 40 ++--------------------------
 4 files changed, 35 insertions(+), 62 deletions(-)
 create mode 100644 .github/workflows/monthly-build.yaml
 create mode 100644 .github/workflows/publish.yaml

diff --git a/.github/workflows/binder.yaml b/.github/workflows/binder.yaml
index d5571b3..92ac38e 100644
--- a/.github/workflows/binder.yaml
+++ b/.github/workflows/binder.yaml
@@ -1,30 +1,9 @@
-# Reference https://mybinder.readthedocs.io/en/latest/howto/gh-actions-badges.html
-name: Test this PR on Binder Badge
+name: test-binder
+
 on:
   pull_request_target:
     types: [opened]
 
-permissions:
-  pull-requests:
-    write
-
 jobs:
   binder:
-    runs-on: ubuntu-latest
-    steps:
-    - name: comment on PR with Binder link
-      uses: actions/github-script@v3
-      with:
-        github-token: ${{secrets.GITHUB_TOKEN}}
-        script: |
-          var PR_HEAD_USERREPO = process.env.PR_HEAD_USERREPO;
-          var PR_HEAD_REF = process.env.PR_HEAD_REF;
-          github.issues.createComment({
-            issue_number: context.issue.number,
-            owner: context.repo.owner,
-            repo: context.repo.repo,
-            body: `[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/${PR_HEAD_USERREPO}/${PR_HEAD_REF}) :point_left: Test this PR on Binder`
-          })
-      env:
-        PR_HEAD_REF: ${{ github.event.pull_request.head.ref }}
-        PR_HEAD_USERREPO: ${{ github.event.pull_request.head.repo.full_name }}
+    uses: eds-book/notebooks-workflows/.github/workflows/binder.yaml@main
\ No newline at end of file
diff --git a/.github/workflows/monthly-build.yaml b/.github/workflows/monthly-build.yaml
new file mode 100644
index 0000000..16d3588
--- /dev/null
+++ b/.github/workflows/monthly-build.yaml
@@ -0,0 +1,12 @@
+name: monthly-build
+
+on:
+  schedule:
+    - cron: "0 9 1 * *" # At 09:00 UTC on the 1st of each month
+
+jobs:
+  build-and-execute:
+    uses: eds-book/notebooks-workflows/.github/workflows/build.yaml@main
+    secrets:
+      QUAY_USERNAME: ${{ secrets.QUAY_USERNAME }}
+      QUAY_PASSWORD: ${{ secrets.QUAY_PASSWORD }}
\ No newline at end of file
diff --git a/.github/workflows/publish.yaml b/.github/workflows/publish.yaml
new file mode 100644
index 0000000..26a4c8d
--- /dev/null
+++ b/.github/workflows/publish.yaml
@@ -0,0 +1,18 @@
+name: publish
+
+on:
+  push:
+    branches: [main, postprint]
+    paths-ignore:
+      - 'README.md'
+
+jobs:
+  build-and-execute:
+    uses: eds-book/notebooks-workflows/.github/workflows/build.yaml@main
+    secrets:
+      QUAY_USERNAME: ${{ secrets.QUAY_USERNAME }}
+      QUAY_PASSWORD: ${{ secrets.QUAY_PASSWORD }}
+
+  deploy:
+    needs: build-and-execute
+    uses: eds-book/notebooks-workflows/.github/workflows/deploy.yaml@main
\ No newline at end of file
diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml
index 1f7cb64..257f8b3 100644
--- a/.github/workflows/test.yaml
+++ b/.github/workflows/test.yaml
@@ -1,44 +1,8 @@
-name: Test container image build
+name: test-container
 
 on:
   pull_request:
 
 jobs:
   test-build:
-    runs-on: ubuntu-latest
-    if: github.repository_owner == 'eds-book'
-    steps:
-
-    # For biggish images, github actions runs out of disk space.
-    # So we cleanup some unwanted things in the disk image, and reclaim that space for our docker use
-    # https://github.com/actions/virtual-environments/issues/2606#issuecomment-772683150
-    # and https://github.com/easimon/maximize-build-space/blob/b4d02c14493a9653fe7af06cc89ca5298071c66e/action.yml#L104
-    # This gives us a total of about 52G of free space, which should be enough for now
-    - name: cleanup disk space
-      run: |
-        sudo rm -rf /usr/local/lib/android /usr/share/dotnet /opt/ghc
-        df -h
-
-    - name: checkout files in repo
-      uses: actions/checkout@main
-
-      # Set quay image name
-    - name: Get properties from the config file
-      id: config_file
-      uses: notiz-dev/github-action-json-property@release
-      with:
-        path: '.github/config.json'
-        prop_path: 'quay_image'
-
-    - name: Build the image and push it if `NO_PUSH` disabled
-      uses: jupyterhub/repo2docker-action@master
-      with: # make sure username & password/token matches your registry
-        NO_PUSH: "true"
-        DOCKER_REGISTRY: "quay.io"
-
-        # Uncomment and modify the following line with your image name. a
-        IMAGE_NAME: ${{steps.config_quay.outputs.prop}}
-
-    # Lets us monitor disks getting full as images get bigger over time
-    - name: Show how much disk space is left
-      run: df -h
+    uses: eds-book/notebooks-workflows/.github/workflows/test.yaml@main
\ No newline at end of file

From fd1eeac45e73d6781770308eeb02259566e4efd1 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Mon, 19 May 2025 21:29:57 +0100
Subject: [PATCH 129/141] fix url review

---
 CITATION.cff | 5 +++--
 myst.yml     | 4 ++++
 2 files changed, 7 insertions(+), 2 deletions(-)

diff --git a/CITATION.cff b/CITATION.cff
index fde3294..e4a7996 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -32,8 +32,9 @@ contact:
     email: bryald@bas.ac.uk
     website: https://github.com/bnubald
 identifiers:
-  - type: doi
-    value: 10.5281/zenodo.12613298
+  - description: Open review report for this notebook
+    type: url
+    value: https://github.com/eds-book/notebooks-reviews/issues/8
 keywords:
   - Cryosphere
   - Modelling
diff --git a/myst.yml b/myst.yml
index c2460df..cfd71c6 100644
--- a/myst.yml
+++ b/myst.yml
@@ -104,6 +104,10 @@ project:
       version: v2.0.0
       license: MIT
       license-url: https://opensource.org/license/MIT
+      identifiers:
+        - description: "Open review report for this notebook"
+          type: url
+          value: "https://github.com/eds-book/notebooks-reviews/issues/8"
   bibliography:
     - references.bib
 

From a547063b347e093ad17dd4129e59159325f15abf Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Mon, 19 May 2025 21:33:04 +0100
Subject: [PATCH 130/141] set YYYY.MM.patch versioning

---
 .bumpversion.cfg | 6 +++---
 myst.yml         | 2 +-
 notebook.ipynb   | 2 +-
 3 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/.bumpversion.cfg b/.bumpversion.cfg
index 8a5020a..b6e254f 100644
--- a/.bumpversion.cfg
+++ b/.bumpversion.cfg
@@ -1,9 +1,9 @@
 [bumpversion]
-current_version = v2.0.0
+current_version = 2025.05.0
 commit = True
 tag = True
-parse = (v(?P<major>\d+))(.(?P<minor>\d+))(.(?P<patch>\d+))
-serialize = v{major}.{minor}.{patch}
+parse = (v(?P<year>\d+))(.(?P<month>\d+))(.(?P<patch>\d+))
+serialize = v{year}.{month}.{patch}
 
 [bumpversion:file:myst.yml]
 
diff --git a/myst.yml b/myst.yml
index cfd71c6..37110cb 100644
--- a/myst.yml
+++ b/myst.yml
@@ -101,7 +101,7 @@ project:
       output: exports/notebook.pdf
     - format: cff
       type: software
-      version: v2.0.0
+      version: v2025.05.0
       license: MIT
       license-url: https://opensource.org/license/MIT
       identifiers:
diff --git a/notebook.ipynb b/notebook.ipynb
index 180f52f..81a514f 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -1145,7 +1145,7 @@
    "source": [
     "from datetime import date\n",
     "\n",
-    "print('Notebook repository version: v2.0.0')\n",
+    "print('Notebook repository version: v2025.05.0')\n",
     "print(f'Last tested: {date.today()}')"
    ],
    "outputs": [],

From e15270d7001cce7e0df0c339de8add7eec7487ba Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Mon, 19 May 2025 21:33:50 +0100
Subject: [PATCH 131/141] change url to github for authors,reviewers and editor

---
 myst.yml | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/myst.yml b/myst.yml
index 37110cb..ca64961 100644
--- a/myst.yml
+++ b/myst.yml
@@ -11,7 +11,7 @@ project:
     - id: jbyrne
       name: James Byrne
       orcid: 0000-0003-3731-2377
-      url: https://github.com/JimCircadian
+      github: JimCircadian
       roles:
         - Investigation
         - Software
@@ -23,7 +23,7 @@ project:
       orcid: 0000-0002-0206-7140
       corresponding: true
       email: bryald@bas.ac.uk
-      url: https://github.com/bnubald
+      github: bnubald
       roles:
         - Investigation
         - Software
@@ -34,7 +34,7 @@ project:
     - id: wji
       name: Wei Ji
       orcid: https://orcid.org/0000-0003-2354-1988
-      url: https://github.com/weiji14
+      github: weiji14
       roles:
         - Writing – review & editing
       affiliations:
@@ -42,7 +42,7 @@ project:
     - id: wgregory
       name: William Gregory
       orcid: https://orcid.org/0000-0001-8176-1642
-      url: https://github.com/William-gregory
+      github: William-gregory
       roles:
         - Writing – review & editing
       affiliations:
@@ -51,7 +51,7 @@ project:
     - id: afouilloux
       name: Anne Fouilloux
       orcid: 0000-0002-1784-2920
-      url: https://github.com/annefou
+      github: annefou
       roles:
         - Writing – review & editing
       affiliations:

From e0e7dfd0d8ddc7546211e501e35b11c08011e0ae Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Mon, 19 May 2025 21:34:19 +0100
Subject: [PATCH 132/141] update CITATION.cff

---
 CITATION.cff | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/CITATION.cff b/CITATION.cff
index e4a7996..dda3a67 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -16,13 +16,11 @@ authors:
     given-names: James
     affiliation: British Antarctic Survey
     orcid: 0000-0003-3731-2377
-    website: https://github.com/JimCircadian
   - family-names: Ubald
     given-names: Bryn Noel
     affiliation: British Antarctic Survey
     orcid: 0000-0002-0206-7140
     email: bryald@bas.ac.uk
-    website: https://github.com/bnubald
 date-released: '2024-07-01'
 contact:
   - family-names: Ubald
@@ -30,7 +28,6 @@ contact:
     affiliation: British Antarctic Survey
     orcid: 0000-0002-0206-7140
     email: bryald@bas.ac.uk
-    website: https://github.com/bnubald
 identifiers:
   - description: Open review report for this notebook
     type: url
@@ -44,4 +41,4 @@ license: MIT
 license-url: https://opensource.org/license/MIT
 repository: https://github.com/eds-book/67a1e320-7c47-4ea9-8df8-e868326bc90b
 type: software
-version: v2.0.0
+version: v2025.05.0

From 5efd4702b4b4d5a5f7bd3369f76bdf58718ba4f7 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Mon, 19 May 2025 21:51:58 +0100
Subject: [PATCH 133/141] set README as index

---
 myst.yml | 1 +
 1 file changed, 1 insertion(+)

diff --git a/myst.yml b/myst.yml
index ca64961..990996a 100644
--- a/myst.yml
+++ b/myst.yml
@@ -93,6 +93,7 @@ project:
     code: MIT
   date: 2024-07-01
   toc:
+    - file: README.md
     - file: notebook.ipynb
   exports:
     - format: pdf

From ed25df8379d9770319831a21224929b165230e12 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Mon, 19 May 2025 21:55:07 +0100
Subject: [PATCH 134/141] clean readme

---
 README.md | 55 +++++++++++++------------------------------------------
 1 file changed, 13 insertions(+), 42 deletions(-)

diff --git a/README.md b/README.md
index 83ddf1c..d09c6bb 100644
--- a/README.md
+++ b/README.md
@@ -1,58 +1,32 @@
-<div align="center">
-    <h6>Environmental Data Science Book</h6>
-</div>
+# Sea ice forecasting using the IceNet library
 
 <p align="center">
-<img src="https://github.com/alan-turing-institute/environmental-ds-book/blob/main/book/figures/logo/logo.png?raw=True" alt="thumbnail" width="200"/>
-</p>
-
-<div align="center">
-    <h1>Sea ice forecasting using the IceNet library</h1>
-</div>
-
-<p align="center">
-    <a href="https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/blob/main/LICENSE">
-        <img alt="License" src="https://img.shields.io/badge/License-MIT-yellow.svg">
-    </a>
-    <a href="https://github.com/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/actions/workflows/render.yaml">
-        <img alt="render" src="https://github.com/eds-book-gallery/ac327c3a-5264-40a2-8c6e-1e8d7c4b37ef/actions/workflows/render.yaml/badge.svg">
-    </a>
-    <a href="https://github.com/alan-turing-institute/environmental-ds-book/issues/239">
-        <img alt="review" src="https://img.shields.io/badge/view-review-purple">
-    </a>
-    <br/>
-</p>
-
-<p align="center">
-    <a href="http://mybinder.org/v2/gh/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/main?labpath=notebook.ipynb">
-        <img alt="binder" src="https://mybinder.org/badge_logo.svg">
+    <a href="https://github.com/eds-book/67a1e320-7c47-4ea9-8df8-e868326bc90b/actions/workflows/monthly-build.yaml/badge.svg">
+        <img alt="Continuous integration badge" src="https://github.com/eds-book/67a1e320-7c47-4ea9-8df8-e868326bc90b/actions/workflows/monthly-build.yaml/badge.svg">
     </a>
-    <a href="https://replay.notebooks.egi.eu/v2/gh/eds-book-gallery/67a1e320-7c47-4ea9-8df8-e868326bc90b/main?labpath=notebook.ipynb">
-        <img alt="binder" src="https://img.shields.io/badge/launch-EGI%20binder-F5A252.svg?logo=data:image/png;base64,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">
-    </a>
-</p>
-
-<p align="center">
-    <a href="https://w3id.org/ro-id/c9df67a3-0d77-4029-8556-e62fcc95a35b">
-        <img alt="rohub" src="https://img.shields.io/badge/RoHub-FAIR_Executable_Research_Object-2ea44f?logo=Open+Access&logoColor=blue">
+    <a href="http://mybinder.org/v2/gh/eds-book/67a1e320-7c47-4ea9-8df8-e868326bc90b/main?labpath=notebook.ipynb">
+        <img alt="Binder" src="https://mybinder.org/badge_logo.svg">
     </a>
-    <a href="https://zenodo.org/badge/latestdoi/777128102">
+    <a href="https://doi.org/10.5281/zenodo.12613298">
         <img alt="doi" src="https://zenodo.org/badge/777128102.svg">
     </a>
+    <a href="https://github.com/eds-book/notebooks-reviews/issues/7">
+        <img alt="notebook review" src="https://img.shields.io/badge/view-review-purple">
+    </a>
 </p>
 
 <p align="center">
 <img src="images/thumbnail.png" alt="thumbnail" width="500"/>
 </p>
 
-# How to run
+## How to run
 
-## Running on Binder
+### Running on Binder
 The notebook is designed to be launched from Binder. 
 
 Click the **Launch Binder** button at the top level of the repository
 
-## Running locally
+### Running locally
 You may also download the notebook from GitHub to run it locally:
 1. Open your terminal
 
@@ -74,7 +48,4 @@ You may also download the notebook from GitHub to run it locally:
     conda activate 67a1e320-7c47-4ea9-8df8-e868326bc90b
     ```  
 
-6. Launch the jupyter interface of your preference, notebook, `jupyter notebook` or lab `jupyter lab`
-
-# Credits
-The **How to run** section was adapted from the [Project Pythia Cookbook](https://cookbooks.projectpythia.org/) project.
\ No newline at end of file
+6. Launch the jupyter interface of your preference, notebook, `jupyter notebook` or lab `jupyter lab`
\ No newline at end of file

From 3d4e858614511015b1734b3d751a587cc64fdb65 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Mon, 19 May 2025 21:55:14 +0100
Subject: [PATCH 135/141] fix url review

---
 CITATION.cff | 2 +-
 myst.yml     | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/CITATION.cff b/CITATION.cff
index dda3a67..6f3f123 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -31,7 +31,7 @@ contact:
 identifiers:
   - description: Open review report for this notebook
     type: url
-    value: https://github.com/eds-book/notebooks-reviews/issues/8
+    value: https://github.com/eds-book/notebooks-reviews/issues/7
 keywords:
   - Cryosphere
   - Modelling
diff --git a/myst.yml b/myst.yml
index 990996a..6e9f6c6 100644
--- a/myst.yml
+++ b/myst.yml
@@ -108,7 +108,7 @@ project:
       identifiers:
         - description: "Open review report for this notebook"
           type: url
-          value: "https://github.com/eds-book/notebooks-reviews/issues/8"
+          value: "https://github.com/eds-book/notebooks-reviews/issues/7"
   bibliography:
     - references.bib
 

From 25b1f3bf6382d8750082e2bfc458ade4908f22ee Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Mon, 19 May 2025 21:59:00 +0100
Subject: [PATCH 136/141] fix versioning

---
 .bumpversion.cfg | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.bumpversion.cfg b/.bumpversion.cfg
index b6e254f..163d2f3 100644
--- a/.bumpversion.cfg
+++ b/.bumpversion.cfg
@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 2025.05.0
+current_version = v2025.05.0
 commit = True
 tag = True
 parse = (v(?P<year>\d+))(.(?P<month>\d+))(.(?P<patch>\d+))

From 37cecc998dfd6f6ee980075db4ae7475b3dc45db Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Tue, 20 May 2025 08:21:50 +0100
Subject: [PATCH 137/141] rm autogenerate comment

---
 myst.yml | 1 -
 1 file changed, 1 deletion(-)

diff --git a/myst.yml b/myst.yml
index 6e9f6c6..58b1051 100644
--- a/myst.yml
+++ b/myst.yml
@@ -86,7 +86,6 @@ project:
   jupyter:
     binder:
       repo: eds-book/67a1e320-7c47-4ea9-8df8-e868326bc90b
-  # To autogenerate a Table of Contents, run "jupyter book init --write-toc"
   open_access: true
   license:
     content: CC-BY-4.0

From bc75591f08d660a6a16bd131557167bdccb907dc Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Sun, 8 Jun 2025 11:44:23 +0100
Subject: [PATCH 138/141] update conda lock

---
 .lock/conda-lock.yml | 10272 ++++++++++++++++++++++++++++++-----------
 1 file changed, 7453 insertions(+), 2819 deletions(-)

diff --git a/.lock/conda-lock.yml b/.lock/conda-lock.yml
index 87d552b..f6e5b68 100644
--- a/.lock/conda-lock.yml
+++ b/.lock/conda-lock.yml
@@ -5,7 +5,7 @@
 # available, unless you explicitly update the lock file.
 #
 # Install this environment as "YOURENV" with:
-#     conda-lock install -n YOURENV --file conda-lock.yml
+#     conda-lock install -n YOURENV conda-lock.yml
 # To update a single package to the latest version compatible with the version constraints in the source:
 #     conda-lock lock  --lockfile conda-lock.yml --update PACKAGE
 # To re-solve the entire environment, e.g. after changing a version constraint in the source file:
@@ -13,14 +13,16 @@
 version: 1
 metadata:
   content_hash:
-    osx-64: a68ec31879f335bd8570a232ae52656df5b20a2bbdc5b973c41ab6ecae1ee919
-    linux-64: e07868bd9bf0663ddbdfe323e808dd0a1a321264d23c39769a6fca78a9ba6cd0
+    osx-64: 58a3937d91a99d6c763dd829d502b3a11abe5c90c9aad54581b3f0b057143806
+    linux-64: aed2431ede450083cd1ae954c504a8a1f37cce643e97e606958f0c3ecbb8046c
+    osx-arm64: 96d67051237989eb84c9a8019bbbd1c747a5c73a44d0eb05bc733f72e0400ed1
   channels:
   - url: conda-forge
     used_env_vars: []
   platforms:
   - osx-64
   - linux-64
+  - osx-arm64
   sources:
   - .binder/environment.yml
 package:
@@ -49,148 +51,343 @@ package:
   category: main
   optional: false
 - name: absl-py
-  version: 2.1.0
+  version: 2.3.0
   manager: conda
   platform: linux-64
   dependencies:
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/absl-py-2.1.0-pyhd8ed1ab_0.conda
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/absl-py-2.3.0-pyhd8ed1ab_0.conda
   hash:
-    md5: 035d1d58677c13ec93122d9eb6b8803b
-    sha256: 6c84575fe0c3a860c7b6a52cb36dc548c838503c8da0f950a63a64c29b443937
+    md5: 6ec4201043eb00aefffeef8fbb46444a
+    sha256: 4ced297d5e6baeaa45437c6cf960642f8ab630cddcf3ac9055252f86923c7a47
   category: main
   optional: false
 - name: absl-py
-  version: 2.1.0
+  version: 2.3.0
   manager: conda
   platform: osx-64
   dependencies:
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/absl-py-2.1.0-pyhd8ed1ab_0.conda
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/absl-py-2.3.0-pyhd8ed1ab_0.conda
+  hash:
+    md5: 6ec4201043eb00aefffeef8fbb46444a
+    sha256: 4ced297d5e6baeaa45437c6cf960642f8ab630cddcf3ac9055252f86923c7a47
+  category: main
+  optional: false
+- name: absl-py
+  version: 2.3.0
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/absl-py-2.3.0-pyhd8ed1ab_0.conda
+  hash:
+    md5: 6ec4201043eb00aefffeef8fbb46444a
+    sha256: 4ced297d5e6baeaa45437c6cf960642f8ab630cddcf3ac9055252f86923c7a47
+  category: main
+  optional: false
+- name: aiofiles
+  version: 22.1.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.6'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiofiles-22.1.0-pyhd8ed1ab_0.tar.bz2
+  hash:
+    md5: a88c206fdb78e34adb1c4081f5f838dd
+    sha256: abc19fcb120907a45515980a2660e003b89d7143c21f95354f7f08dfa432603e
+  category: main
+  optional: false
+- name: aiofiles
+  version: 22.1.0
+  manager: conda
+  platform: osx-64
+  dependencies:
+    python: '>=3.6'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiofiles-22.1.0-pyhd8ed1ab_0.tar.bz2
+  hash:
+    md5: a88c206fdb78e34adb1c4081f5f838dd
+    sha256: abc19fcb120907a45515980a2660e003b89d7143c21f95354f7f08dfa432603e
+  category: main
+  optional: false
+- name: aiofiles
+  version: 22.1.0
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    python: '>=3.6'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiofiles-22.1.0-pyhd8ed1ab_0.tar.bz2
+  hash:
+    md5: a88c206fdb78e34adb1c4081f5f838dd
+    sha256: abc19fcb120907a45515980a2660e003b89d7143c21f95354f7f08dfa432603e
+  category: main
+  optional: false
+- name: aiohappyeyeballs
+  version: 2.6.1
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.6.1-pyhd8ed1ab_0.conda
+  hash:
+    md5: 18fd895e0e775622906cdabfc3cf0fb4
+    sha256: 7842ddc678e77868ba7b92a726b437575b23aaec293bca0d40826f1026d90e27
+  category: main
+  optional: false
+- name: aiohappyeyeballs
+  version: 2.6.1
+  manager: conda
+  platform: osx-64
+  dependencies:
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.6.1-pyhd8ed1ab_0.conda
+  hash:
+    md5: 18fd895e0e775622906cdabfc3cf0fb4
+    sha256: 7842ddc678e77868ba7b92a726b437575b23aaec293bca0d40826f1026d90e27
+  category: main
+  optional: false
+- name: aiohappyeyeballs
+  version: 2.6.1
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiohappyeyeballs-2.6.1-pyhd8ed1ab_0.conda
   hash:
-    md5: 035d1d58677c13ec93122d9eb6b8803b
-    sha256: 6c84575fe0c3a860c7b6a52cb36dc548c838503c8da0f950a63a64c29b443937
+    md5: 18fd895e0e775622906cdabfc3cf0fb4
+    sha256: 7842ddc678e77868ba7b92a726b437575b23aaec293bca0d40826f1026d90e27
   category: main
   optional: false
 - name: aiohttp
-  version: 3.9.5
+  version: 3.12.8
   manager: conda
   platform: linux-64
   dependencies:
+    __glibc: '>=2.17,<3.0.a0'
+    aiohappyeyeballs: '>=2.5.0'
     aiosignal: '>=1.1.2'
-    async-timeout: '>=4.0,<5.0'
+    async-timeout: '>=4.0,<6.0'
     attrs: '>=17.3.0'
     frozenlist: '>=1.1.1'
-    libgcc-ng: '>=12'
+    libgcc: '>=13'
     multidict: '>=4.5,<7.0'
+    propcache: '>=0.2.0'
     python: '>=3.10,<3.11.0a0'
     python_abi: 3.10.*
-    yarl: '>=1.0,<2.0'
-  url: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.9.5-py310h2372a71_0.conda
+    yarl: '>=1.17.0,<2.0'
+  url: https://conda.anaconda.org/conda-forge/linux-64/aiohttp-3.12.8-py310h89163eb_0.conda
   hash:
-    md5: 00b6dda5bb36ac4226a051db2d406d22
-    sha256: be88033cfaf80d1ea9a2e16af2ca9eb760aa034af5a4a49a348f654ebd73756c
+    md5: e23c62f9860734888d9f8b573df81500
+    sha256: 9e010e533c52f1f6de0a5b2856e453515e7d1a80bbf299573eab3428f7642f67
   category: main
   optional: false
 - name: aiohttp
-  version: 3.9.5
+  version: 3.12.8
   manager: conda
   platform: osx-64
   dependencies:
+    __osx: '>=10.13'
+    aiohappyeyeballs: '>=2.5.0'
+    aiosignal: '>=1.1.2'
+    async-timeout: '>=4.0,<6.0'
+    attrs: '>=17.3.0'
+    frozenlist: '>=1.1.1'
+    multidict: '>=4.5,<7.0'
+    propcache: '>=0.2.0'
+    python: '>=3.10,<3.11.0a0'
+    python_abi: 3.10.*
+    yarl: '>=1.17.0,<2.0'
+  url: https://conda.anaconda.org/conda-forge/osx-64/aiohttp-3.12.8-py310h8e2f543_0.conda
+  hash:
+    md5: 442fe95ce93c53888b9816d27fc5f95e
+    sha256: 983f1a0556a3bdf49d1f0006900c44ccb1e76a0aa1c88aad47bbe814db859d5b
+  category: main
+  optional: false
+- name: aiohttp
+  version: 3.12.8
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    __osx: '>=11.0'
+    aiohappyeyeballs: '>=2.5.0'
     aiosignal: '>=1.1.2'
-    async-timeout: '>=4.0,<5.0'
+    async-timeout: '>=4.0,<6.0'
     attrs: '>=17.3.0'
     frozenlist: '>=1.1.1'
     multidict: '>=4.5,<7.0'
+    propcache: '>=0.2.0'
     python: '>=3.10,<3.11.0a0'
     python_abi: 3.10.*
-    yarl: '>=1.0,<2.0'
-  url: https://conda.anaconda.org/conda-forge/osx-64/aiohttp-3.9.5-py310hb372a2b_0.conda
+    yarl: '>=1.17.0,<2.0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/aiohttp-3.12.8-py310hc74094e_0.conda
   hash:
-    md5: 9dd1934ed0774abc340c1f81c2bab542
-    sha256: e7dd8b970b8d76fe3968386eb90f5ddbba7dfd1ff2fd86b3df9e05bae46d10b2
+    md5: a17f3057864e84c594452e066a715696
+    sha256: e9f89c2d701fe5913f20fed26eb83b069ee08a3b51f424d21505f641568efa11
   category: main
   optional: false
 - name: aiosignal
-  version: 1.3.1
+  version: 1.3.2
   manager: conda
   platform: linux-64
   dependencies:
     frozenlist: '>=1.1.0'
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.3.1-pyhd8ed1ab_0.tar.bz2
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.3.2-pyhd8ed1ab_0.conda
   hash:
-    md5: d1e1eb7e21a9e2c74279d87dafb68156
-    sha256: 575c742e14c86575986dc867463582a970463da50b77264cdf54df74f5563783
+    md5: 1a3981115a398535dbe3f6d5faae3d36
+    sha256: 7de8ced1918bbdadecf8e1c1c68237fe5709c097bd9e0d254f4cad118f4345d0
   category: main
   optional: false
 - name: aiosignal
-  version: 1.3.1
+  version: 1.3.2
   manager: conda
   platform: osx-64
   dependencies:
     frozenlist: '>=1.1.0'
-    python: '>=3.7'
-  url: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.3.1-pyhd8ed1ab_0.tar.bz2
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.3.2-pyhd8ed1ab_0.conda
+  hash:
+    md5: 1a3981115a398535dbe3f6d5faae3d36
+    sha256: 7de8ced1918bbdadecf8e1c1c68237fe5709c097bd9e0d254f4cad118f4345d0
+  category: main
+  optional: false
+- name: aiosignal
+  version: 1.3.2
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    frozenlist: '>=1.1.0'
+    python: '>=3.9'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiosignal-1.3.2-pyhd8ed1ab_0.conda
   hash:
-    md5: d1e1eb7e21a9e2c74279d87dafb68156
-    sha256: 575c742e14c86575986dc867463582a970463da50b77264cdf54df74f5563783
+    md5: 1a3981115a398535dbe3f6d5faae3d36
+    sha256: 7de8ced1918bbdadecf8e1c1c68237fe5709c097bd9e0d254f4cad118f4345d0
   category: main
   optional: false
-- name: antlr-python-runtime
-  version: 4.11.1
+- name: aiosqlite
+  version: 0.20.0
   manager: conda
   platform: linux-64
   dependencies:
-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/antlr-python-runtime-4.11.1-pyhd8ed1ab_0.tar.bz2
+    python: '>=3.9'
+    typing-extensions: '>=3.7.2'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiosqlite-0.20.0-pyhaa4b35c_1.conda
   hash:
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-    sha256: 1a2b5dabf00acfa8e34211a2c3b29d261f9eae0511facd24febc1f74095bdaaf
+    md5: f4dcae514c7e1f1e70299d3e4ab57c8c
+    sha256: 636f28e042d52cbcc4ab7a26fcf5e20543fc3f4949e9e3241e305a4266e780db
   category: main
   optional: false
-- name: antlr-python-runtime
-  version: 4.11.1
+- name: aiosqlite
+  version: 0.20.0
   manager: conda
   platform: osx-64
   dependencies:
-    python: '>=3.6'
-  url: https://conda.anaconda.org/conda-forge/noarch/antlr-python-runtime-4.11.1-pyhd8ed1ab_0.tar.bz2
+    python: '>=3.9'
+    typing-extensions: '>=3.7.2'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiosqlite-0.20.0-pyhaa4b35c_1.conda
+  hash:
+    md5: f4dcae514c7e1f1e70299d3e4ab57c8c
+    sha256: 636f28e042d52cbcc4ab7a26fcf5e20543fc3f4949e9e3241e305a4266e780db
+  category: main
+  optional: false
+- name: aiosqlite
+  version: 0.20.0
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    python: '>=3.9'
+    typing-extensions: '>=3.7.2'
+  url: https://conda.anaconda.org/conda-forge/noarch/aiosqlite-0.20.0-pyhaa4b35c_1.conda
+  hash:
+    md5: f4dcae514c7e1f1e70299d3e4ab57c8c
+    sha256: 636f28e042d52cbcc4ab7a26fcf5e20543fc3f4949e9e3241e305a4266e780db
+  category: main
+  optional: false
+- name: annotated-types
+  version: 0.7.0
+  manager: conda
+  platform: linux-64
+  dependencies:
+    python: '>=3.9'
+    typing-extensions: '>=4.0.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
+  hash:
+    md5: 2934f256a8acfe48f6ebb4fce6cde29c
+    sha256: e0ea1ba78fbb64f17062601edda82097fcf815012cf52bb704150a2668110d48
+  category: main
+  optional: false
+- name: annotated-types
+  version: 0.7.0
+  manager: conda
+  platform: osx-64
+  dependencies:
+    python: '>=3.9'
+    typing-extensions: '>=4.0.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
+  hash:
+    md5: 2934f256a8acfe48f6ebb4fce6cde29c
+    sha256: e0ea1ba78fbb64f17062601edda82097fcf815012cf52bb704150a2668110d48
+  category: main
+  optional: false
+- name: annotated-types
+  version: 0.7.0
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    python: '>=3.9'
+    typing-extensions: '>=4.0.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/annotated-types-0.7.0-pyhd8ed1ab_1.conda
   hash:
-    md5: 15109c4977d39ad7aa3423f57243e286
-    sha256: 1a2b5dabf00acfa8e34211a2c3b29d261f9eae0511facd24febc1f74095bdaaf
+    md5: 2934f256a8acfe48f6ebb4fce6cde29c
+    sha256: e0ea1ba78fbb64f17062601edda82097fcf815012cf52bb704150a2668110d48
   category: main
   optional: false
 - name: anyio
-  version: 4.4.0
+  version: 3.7.1
   manager: conda
   platform: linux-64
   dependencies:
-    exceptiongroup: '>=1.0.2'
+    exceptiongroup: ''
     idna: '>=2.8'
-    python: '>=3.8'
+    python: '>=3.7'
     sniffio: '>=1.1'
-    typing_extensions: '>=4.1'
-  url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
+    typing_extensions: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/anyio-3.7.1-pyhd8ed1ab_0.conda
   hash:
-    md5: 1fa97c6e8db1f82c64ff17a5efc4ae8e
-    sha256: 84ac9429812495f12939ab4994f2634f7cacd254f6234a0c2c0243daed15a7ee
+    md5: 7b517e7a6f0790337906c055aa97ca49
+    sha256: 62637ac498bcf47783cbf4f48e9b09e4e2f5a6ad42f43ca8f632c353827b94f4
   category: main
   optional: false
 - name: anyio
-  version: 4.4.0
+  version: 3.7.1
   manager: conda
   platform: osx-64
   dependencies:
-    exceptiongroup: '>=1.0.2'
+    exceptiongroup: ''
     idna: '>=2.8'
-    python: '>=3.8'
+    python: '>=3.7'
+    sniffio: '>=1.1'
+    typing_extensions: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/anyio-3.7.1-pyhd8ed1ab_0.conda
+  hash:
+    md5: 7b517e7a6f0790337906c055aa97ca49
+    sha256: 62637ac498bcf47783cbf4f48e9b09e4e2f5a6ad42f43ca8f632c353827b94f4
+  category: main
+  optional: false
+- name: anyio
+  version: 3.7.1
+  manager: conda
+  platform: osx-arm64
+  dependencies:
+    exceptiongroup: ''
+    idna: '>=2.8'
+    python: '>=3.7'
     sniffio: '>=1.1'
-    typing_extensions: '>=4.1'
-  url: https://conda.anaconda.org/conda-forge/noarch/anyio-4.4.0-pyhd8ed1ab_0.conda
+    typing_extensions: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/anyio-3.7.1-pyhd8ed1ab_0.conda
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-  url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.6.1-pyhff2d567_0.conda
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-  url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2024.6.1-pyhff2d567_0.conda
+    python: '>=3.9'
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+  url: https://conda.anaconda.org/conda-forge/noarch/fsspec-2025.5.1-pyhd8ed1ab_0.conda
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   category: main
   optional: false
+- name: gast
+  version: 0.4.0
+  manager: conda
+  platform: osx-arm64
+  dependencies:
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+  url: https://conda.anaconda.org/conda-forge/noarch/gast-0.4.0-pyh9f0ad1d_0.tar.bz2
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   category: main
   optional: false
+- name: giflib
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+  manager: conda
+  platform: osx-arm64
+  dependencies: {}
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/giflib-5.2.2-h93a5062_0.conda
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   platform: linux-64
   dependencies:
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+    python: '>=3.9'
     smmap: '>=3.0.1,<6'
-  url: https://conda.anaconda.org/conda-forge/noarch/gitdb-4.0.11-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/gitdb-4.0.12-pyhd8ed1ab_0.conda
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   category: main
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+    python: '>=3.9'
+    smmap: '>=3.0.1,<6'
+  url: https://conda.anaconda.org/conda-forge/noarch/gitdb-4.0.12-pyhd8ed1ab_0.conda
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     smmap: '>=3.0.1,<6'
-  url: https://conda.anaconda.org/conda-forge/noarch/gitdb-4.0.11-pyhd8ed1ab_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/gitdb-4.0.12-pyhd8ed1ab_0.conda
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+  url: https://conda.anaconda.org/conda-forge/noarch/gitpython-3.1.44-pyhff2d567_0.conda
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-    python: '>=3.7'
+    python: '>=3.9'
     typing_extensions: '>=3.7.4.3'
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+  url: https://conda.anaconda.org/conda-forge/noarch/gitpython-3.1.44-pyhff2d567_0.conda
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-- name: google-auth
-  version: 2.30.0
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   manager: conda
-  platform: linux-64
+  platform: osx-arm64
+  dependencies:
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+    python: '>=3.9'
+    typing_extensions: '>=3.7.4.3'
+  url: https://conda.anaconda.org/conda-forge/noarch/gitpython-3.1.44-pyhff2d567_0.conda
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     cachetools: '>=2.0.0,<6.0'
     cryptography: '>=38.0.3'
     pyasn1-modules: '>=0.2.1'
     pyopenssl: '>=20.0.0'
-    python: '>=3.7'
+    python: '>=3.9'
     pyu2f: '>=0.1.5'
     requests: '>=2.20.0,<3.0.0'
     rsa: '>=3.1.4,<5'
-  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-2.30.0-pyhff2d567_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-2.40.3-pyhd8ed1ab_0.conda
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   optional: false
 - name: google-auth
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+  version: 2.40.3
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     pyasn1-modules: '>=0.2.1'
     pyopenssl: '>=20.0.0'
-    python: '>=3.7'
+    python: '>=3.9'
+    pyu2f: '>=0.1.5'
+    requests: '>=2.20.0,<3.0.0'
+    rsa: '>=3.1.4,<5'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-2.40.3-pyhd8ed1ab_0.conda
+  hash:
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+    sha256: a0dc7734e2b948b22963cf2828a5f82143b7ba38198e8306e8e81ea22ef09c9b
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+  optional: false
+- name: google-auth
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+  manager: conda
+  platform: osx-arm64
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+    cachetools: '>=2.0.0,<6.0'
+    cryptography: '>=38.0.3'
+    pyasn1-modules: '>=0.2.1'
+    pyopenssl: '>=20.0.0'
+    python: '>=3.9'
     pyu2f: '>=0.1.5'
     requests: '>=2.20.0,<3.0.0'
     rsa: '>=3.1.4,<5'
-  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-2.30.0-pyhff2d567_0.conda
+  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-2.40.3-pyhd8ed1ab_0.conda
   hash:
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   optional: false
 - name: google-auth-oauthlib
@@ -1697,17 +2557,32 @@ package:
     sha256: 9a71dd701a978be5343495c1309497bce978fa002faa2dc92d34c9caac2492a9
   category: main
   optional: false
+- name: google-auth-oauthlib
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+  platform: osx-arm64
+  dependencies:
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+    google-auth: '>=1.0.0'
+    python: '>=3.6'
+    requests-oauthlib: '>=0.7.0'
+  url: https://conda.anaconda.org/conda-forge/noarch/google-auth-oauthlib-0.4.6-pyhd8ed1ab_0.tar.bz2
+  hash:
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+    sha256: 9a71dd701a978be5343495c1309497bce978fa002faa2dc92d34c9caac2492a9
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+  optional: false
 - name: google-pasta
   version: 0.2.0
   manager: conda
   platform: linux-64
   dependencies:
-    python: ''
+    python: '>=3.9'
     six: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/google-pasta-0.2.0-pyh8c360ce_0.tar.bz2
+  url: https://conda.anaconda.org/conda-forge/noarch/google-pasta-0.2.0-pyhd8ed1ab_2.conda
   hash:
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 - name: google-pasta
@@ -1715,12 +2590,25 @@ package:
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   platform: osx-64
   dependencies:
-    python: ''
+    python: '>=3.9'
+    six: ''
+  url: https://conda.anaconda.org/conda-forge/noarch/google-pasta-0.2.0-pyhd8ed1ab_2.conda
+  hash:
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+  category: main
+  optional: false
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+  platform: osx-arm64
+  dependencies:
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     six: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/google-pasta-0.2.0-pyh8c360ce_0.tar.bz2
+  url: https://conda.anaconda.org/conda-forge/noarch/google-pasta-0.2.0-pyhd8ed1ab_2.conda
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   category: main
   optional: false
-- name: h11
-  version: 0.14.0
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+  manager: conda
+  platform: osx-arm64
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+    python_abi: 3.10.*
+    re2: '>=2023.2.1,<2023.2.2.0a0'
+    setuptools: ''
+    six: '>=1.6.0'
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/grpcio-1.51.1-py310h63a0e3a_1.conda
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-    typing_extensions: ''
-  url: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
+    hpack: '>=4.1,<5'
+    hyperframe: '>=6.1,<7'
+    python: '>=3.9'
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   optional: false
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-  url: https://conda.anaconda.org/conda-forge/noarch/h11-0.14.0-pyhd8ed1ab_0.tar.bz2
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   dependencies:
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.1.0-h77fa898_0.conda
+    __glibc: '>=2.17,<3.0.a0'
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   category: main
   optional: false
+- name: libgrpc
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+    re2: '>=2023.2.1,<2023.2.2.0a0'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.17-hd590300_2.conda
+    __glibc: '>=2.17,<3.0.a0'
+    libgcc: '>=13'
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-  url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-22_linux64_openblas.conda
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-  url: https://conda.anaconda.org/conda-forge/osx-64/liblapack-3.9.0-22_osx64_openblas.conda
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     libstdcxx-ng: '>=12'
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-    decorator: '*'
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+  url: https://files.pythonhosted.org/packages/bb/8a/0e9feca390d512d293afd844d31670e25608c4a901e10202aa98785eab09/xxhash-3.5.0-cp310-cp310-macosx_10_9_x86_64.whl
   hash:
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+  category: main
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   category: main
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+  hash:
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+  category: main
+  optional: false

From 117bdfb845761084bcb7e730e9f1626c3331c8bc Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Alejandro=20=C2=A9?= <acocac@gmail.com>
Date: Thu, 19 Jun 2025 09:23:28 +0100
Subject: [PATCH 139/141] Update myst.yml

---
 myst.yml | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/myst.yml b/myst.yml
index 58b1051..85872ae 100644
--- a/myst.yml
+++ b/myst.yml
@@ -86,6 +86,7 @@ project:
   jupyter:
     binder:
       repo: eds-book/67a1e320-7c47-4ea9-8df8-e868326bc90b
+  # To autogenerate a Table of Contents, run "jupyter book init --write-toc"
   open_access: true
   license:
     content: CC-BY-4.0
@@ -112,4 +113,4 @@ project:
     - references.bib
 
 site:
-  template: book-theme
\ No newline at end of file
+  template: book-theme

From 7469fbaad581292878ee0629d6f9b84c1c2b0a3c Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Fri, 20 Jun 2025 17:17:45 +0100
Subject: [PATCH 140/141] =?UTF-8?q?Bump=20version:=20v2025.05.0=20?=
 =?UTF-8?q?=E2=86=92=20v2025.6.0?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 .bumpversion.cfg | 2 +-
 myst.yml         | 2 +-
 notebook.ipynb   | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/.bumpversion.cfg b/.bumpversion.cfg
index 163d2f3..8125654 100644
--- a/.bumpversion.cfg
+++ b/.bumpversion.cfg
@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = v2025.05.0
+current_version = v2025.6.0
 commit = True
 tag = True
 parse = (v(?P<year>\d+))(.(?P<month>\d+))(.(?P<patch>\d+))
diff --git a/myst.yml b/myst.yml
index 85872ae..a94f459 100644
--- a/myst.yml
+++ b/myst.yml
@@ -102,7 +102,7 @@ project:
       output: exports/notebook.pdf
     - format: cff
       type: software
-      version: v2025.05.0
+      version: v2025.6.0
       license: MIT
       license-url: https://opensource.org/license/MIT
       identifiers:
diff --git a/notebook.ipynb b/notebook.ipynb
index 81a514f..bce8f2c 100644
--- a/notebook.ipynb
+++ b/notebook.ipynb
@@ -1145,7 +1145,7 @@
    "source": [
     "from datetime import date\n",
     "\n",
-    "print('Notebook repository version: v2025.05.0')\n",
+    "print('Notebook repository version: v2025.6.0')\n",
     "print(f'Last tested: {date.today()}')"
    ],
    "outputs": [],

From f2b13541cfe75587706857fb462466d2196dce78 Mon Sep 17 00:00:00 2001
From: acocac <acocac@gmail.com>
Date: Fri, 20 Jun 2025 17:18:40 +0100
Subject: [PATCH 141/141] update citation

---
 CITATION.cff | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/CITATION.cff b/CITATION.cff
index 6f3f123..9ad946d 100644
--- a/CITATION.cff
+++ b/CITATION.cff
@@ -41,4 +41,4 @@ license: MIT
 license-url: https://opensource.org/license/MIT
 repository: https://github.com/eds-book/67a1e320-7c47-4ea9-8df8-e868326bc90b
 type: software
-version: v2025.05.0
+version: v2025.6.0