Improving dynamical-statistical subseasonal precipitation forecasts using deep learning: A case study in Southwest China

Subseasonal precipitation forecasting is challenging but critical for water management, energy supply, and disaster prevention. To improve regional subseasonal precipitation prediction, previous studies have proposed a dynamical-statistical projection model (DSPM). In this study, we develop a new me...

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Bibliographic Details

Published in:	Environmental Research Letters
Main Authors:	Yanbo Nie, Jianqi Sun
Format:	Article
Language:	English
Published:	IOP Publishing 2024-01-01
Subjects:	subseasonal forecasting deep learning precipitation Southwest China
Online Access:	https://doi.org/10.1088/1748-9326/ad5370