In the paper, you mention the processing of the input data from EURO-CORDEX regional climate model ensembles using, e.g., a bias correction and spatial averaging for the Uelzen region to arrive at the input tables you provide for the impact model:
A multi-model ensemble was used for each RCP scenario (Appendix A). The model was run with each ensemble, and the
average of the outputs was taken as a result afterward. Monthly near-surface temperature (tas) and precipitation (pr) were
directly taken from the ensemble members. Potential evapotranspiration (evaspsblpot) was calculated based on daily tas
and maximum and minimum near-surface temperature (tasmax and tasmin) using the method by Hargreaves & Samani
(1985) included in the python package xclim (Logan et al. 2021). Afterward, spatial averages over Uelzen were calculated
using the pyweights function.
Is there any material, e.g., a code repository with scripts to also reproduce this? I am aware that you need a lot of input data from EURO-CORDEX, but it would be nice to also have this code available. This is probably less than an issue but more a recommendation for the future i guess...
In the paper, you mention the processing of the input data from EURO-CORDEX regional climate model ensembles using, e.g., a bias correction and spatial averaging for the Uelzen region to arrive at the input tables you provide for the impact model:
Is there any material, e.g., a code repository with scripts to also reproduce this? I am aware that you need a lot of input data from EURO-CORDEX, but it would be nice to also have this code available. This is probably less than an issue but more a recommendation for the future i guess...