This repository stored R-scripts used to analyse mHM model output with regard to projected changes in Rhine River flood seasonality. Main results were published in:
Rottler, E., Bronstert, A., Bürger, G., and Rakovec, O.: Projected changes in Rhine River flood seasonality under global warming, Hydrol. Earth Syst. Sci., 25, 2353–2371, https://doi.org/10.5194/hess-25-2353-2021, 2021.
Climatic change alters the frequency and intensity of natural hazards. In order to assess potential future changes in flood seasonality in the Rhine River Basin, we analyse changes in precipitation, snowmelt, evapotranspiration and streamflow at 1.5, 2.0 and 3.0°C global warming levels. The mesoscale Hydrological Model (mHM) forced with an ensemble of climate projection scenarios (five general circulation models under three representative concentration pathways) is used to simulate the present and future climate conditions of both, pluvial and nival hydrological regimes. This repository stores R-code used to analyse and visualize model input and calibration results (input_calib.R), assess the performance of simulations with historic GCM forcing (gcm_hist.R) and investigate projected changes in streamflow, snowmelt, precipitation (total and liquid) and evapotranspiration (fut_seas.R).
This research was funded by Deutsche Forschungsgemeinschaft (DFG) within the graduate research training group NatRiskChange (GRK 2043/1) at the University of Potsdam: https://www.uni-potsdam.de/en/natriskchange
Should you have any question or need more information, please report using the GitHub Issue Tracker or write an email: rottler(a)uni-potsdam.de