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...
I tiakina i:
| Ngā kaituhi matua: | , , , , , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
American Geophysical Union (AGU)
2025-03-01
|
| Rangatū: | Journal of Advances in Modeling Earth Systems |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1029/2024MS004796 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|