Enhancing Indian summer monsoon prediction: Deep learning approach for skillful long-lead forecasts of rainfall

The prediction of the Indian summer monsoon rainfall (ISMR) in the June–September (JJAS) season at long-lead times is challenging. The state-of-the-art dynamical models often fail to capture the sign and amplitude of the rainfall anomalies in the extreme rainfall seasons, limiting the overall skill...

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Bibliographic Details
Main Authors: Kalpesh R. Patil, Takeshi Doi, J.V. Ratnam, Swadhin K. Behera
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Applied Computing and Geosciences
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Online Access:http://www.sciencedirect.com/science/article/pii/S2590197425000394
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