Book	FZJ-2022-05942

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Final report of the DeepRain project - Abschlußbericht des DeepRain Projektes

Schultz, M. (Editor)FZJ* ; Mozaffari, A. (Editor)FZJ* ; Langguth, M. (Editor)FZJ*

2022
Forschungszentrum Jülich GmbH Zentralbibliothek Verlag Jülich
ISBN: 978-3-95806-675-5

Please use a persistent id in citations: http://hdl.handle.net/2128/33144  urn:nbn:de:0001-2023013106

Abstract: The DeepRain project was launched to develop new approaches to combine modern machine learning methods with high performance IT systems for data processing and dissemination in order to produce high-resolution spatial maps of precipitation over Germany. The foundation of this project was the multi-year archive of ensemble model forecasts from the numerical weather model COSMO of the German Weather Service (DWD). Six trans-disciplinary research institutions worked together in DeepRain to develop an end-to-end processing chain which could potentially be used in the future operational weather forecasting context. The project proposal had identified several challenges which had to be overcome in this regard. Next to the technical challenges in establishing a novel data fusion of rather diverse data sets (numerical model data, radar data, ground-based station observations), building scalable machine learning solutions and optimising the performance of data processing and machine learning, there were various scientific challenges related to the small local-scale structures ofprecipitation events, difficulties with finding robust evaluation methods for precipitation forecasts and non-gaussian precipitation statistics combined with highly imbalanced data sets

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Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)

Research Program(s):

1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
2. Verbundprojekt DeepRain: Effiziente Lokale Niederschlagsvorhersage durch Maschinelles Lernen (01IS18047A) (01IS18047A)
3. Earth System Data Exploration (ESDE) (ESDE)

Appears in the scientific report 2022

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Database coverage:
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