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Seasonal Predictions of East-Asian Rainfall by Rodrigo Martins is a document available to read on EtoBox.

This article discusses the development of a physical-statistical prediction model that integrates spatiotemporal patterns of rainfall anomalies to enhance seasonal predictions of East-Asian summer rainfall. The model demonstrates a prediction skill of 0.51, significantly outperforming existing dynamical models, and aims to improve risk management for climate-related disasters. The study identifies key precursors that contribute to the year-to-year variability of rainfall patterns, which can lead to better f

Author
Rodrigo Martins
Language
EN