Final report of the DeepRain project
In this report, we provide a detailed overview on the work and the achievements within the DeepRain project….
Link to full final report: https://hdl.handle.net/2128/33144
The DeepRain project is a collaboration among the Jülich Supercomputing Centre (JSC) at Forschungszentrum Jülich, the German Weather Service (DWD), the Universities of Osnabrück and Bonn and the Jacobs University in Bremen. During the three years of funding from BMBF, the partners investigate how modern methods of machine learning can be applied to improve precipitation forecasts in Germany. Precise predictions of rain and snow with a reliable indication of the expected amount of precipitation are still an extreme challenge for weather modelling, especially at the local scales where they are most relevant.