Deep Learning for Improving Numerical Weather Prediction of Heavy Rainfall

Abstract The accurate prediction of rainfall, and in particular of the heaviest rainfall events, remains challenging for numerical weather prediction (NWP) models. This may be due to subgrid‐scale parameterizations of processes that play a crucial role in the multi‐scale dynamics generating rainfall...

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Bibliographic Details
Main Authors: Philipp Hess, Niklas Boers
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2022-03-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
Online Access:https://doi.org/10.1029/2021MS002765