During this year's EGU General Assembly we will present initial results of porting the existing PyCatch catchment model from the PCRaster modelling framework to LUE. This allows the model to be used on much larger areas in greater temporal and spatial detail. We ran the model for Africa at 3 arc-second resolution. The run used 12 cluster nodes containing 1152 CPU cores in total.
EGU21-7154 | vPICO presentations | HS2.5.1
Global scale hydrological modelling at 100 m, 1 h resolution, in Python
Kor de Jong, Marc van Kreveld, Debabrata Panja, Oliver Schmitz, and Derek Karssenberg
Thu, 29 Apr, 09:19–09:21