TerraClimate v1.1 +2C/+4C #417
Description
Contact Details
Provide Dataset Link
https://gee-community-catalog.org/projects/terraclim/#earth-engine-snippet
Describe the update
TerraClimate has been updated to a new version. We are calling the new version v1.1.
With this updated version, we have also update the +2C/+4C datasets and added a 'Counterfactual' as well that you might want to add to your page.
You can download the new netcdf files for the +2C/+4C here:
http://thredds.northwestknowledge.net:8080/thredds/catalog/TERRACLIMATE_ALL/catalog.html
The publication that should be referenced here for the +2C/+4C:
Qin, Y., Abatzoglou, J.T., Siebert, S. et al. Agricultural risks from changing snowmelt. Nat. Clim. Chang. (2020). https://doi.org/10.1038/s41558-020-0746-8
Here's a short description of the new version:
A future monthly dataset corresponding to +2/4°C of extra global warming is created by superimposing average local changes (estimated using a pattern scaling approach) on monthly climate data for 1950-2025 from the TerraClimate dataset. The pattern scaling approach obtains local scale changes for a host of variables when global mean annual temperature is changed by considering 19 CMIP6 climate models for two 30-year periods, a pre-industrial period (1851-1880) using historical forcing experiment and an end of the 21st century period (2071-2100) using three different climate forcing experiments (SSP-2.45, SSP-3.70, SSP5-85). For each climate model, we calculate the local change for each climate metric between the two periods divided by the model derived change in global mean temperature. This process is repeated for the change in interannual variability between two periods. A pattern scaling pattern for each model is taken as the average change across each climate forcing experiment – expressed as a local change per degree Celsius of global warming. We ultimately use the 19-model median in +2/4°C scenarios.
The counterfactual scenario uses a slightly different approach which removes the low-pass filtered change in each climate variable by month as simulated by 19 CMIP6 models. We remove the 19-model median change simulated for years 1950-2025 from the TerraClimate data to estimate a counterfactual. This counterfactual represents a first-order estimate of how the 1950-2025 period would have played out in the absence of combined anthropogenic and natural climate forcings while preserving the recorded interannual variability.
All data have monthly temporal resolution and a ~4-km (1/24th degree) spatial resolution. The data cover the period from 1950-2025.
This dataset is useful as climate scenarios for policy-relevant goals such as 2°C and 4°C above pre-industrial levels.
Relevant additional information
No response
Code of Conduct
- I agree to follow this project's Code of Conduct