Postprocessing East African Rainfall Forecasts Using a Generative Machine Learning Model

Postprocessing East African Rainfall Forecasts Using a Generative Machine Learning Model

Abstract Existing weather models are known to have poor skill at forecasting rainfall over East Africa. Improved forecasts could reduce the effects of extreme weather events and provide significant socioeconomic benefits to the region. We present a novel machine learning (ML)‐based method to improve...

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Bibliographic Details
Main Authors: Bobby Antonio, Andrew T. T. McRae, David MacLeod, Fenwick C. Cooper, John Marsham, Laurence Aitchison, Tim N. Palmer, Peter A. G. Watson
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2025-03-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
machine learning
postprocessing
precipitation
East Africa
forecasting
tropical
Online Access:https://doi.org/10.1029/2024MS004796
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https://doi.org/10.1029/2024MS004796

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