Deep-learning-based post-processing for probabilistic precipitation forecasting

Deep-learning-based post-processing for probabilistic precipitation forecasting

Ensemble prediction systems (EPSs) serve as a popular technique to provide probabilistic precipitation prediction in short- and medium-range forecasting. However, numerical models still suffer from imperfect configurations associated with data assimilation and physical parameterization, which can le...

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Podrobná bibliografie
Hlavní autoři: Yan Ji, Xiefei Zhi, Luying Ji, Yingxin Zhang, Cui Hao, Ting Peng
Médium: Článek
Jazyk:English
Vydáno: Frontiers Media S.A. 2022-09-01
Edice:Frontiers in Earth Science
Témata:
deep learning
probabilistic precipitation forecasting
post-processing
loss function
ensemble model output statistics
On-line přístup:https://www.frontiersin.org/articles/10.3389/feart.2022.978041/full

Internet

https://www.frontiersin.org/articles/10.3389/feart.2022.978041/full

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