Deep Learning Integration of Multi-Model Forecast Precipitation Considering Long Lead Times

Deep Learning Integration of Multi-Model Forecast Precipitation Considering Long Lead Times

Reliable forecast precipitation can support disaster prevention and mitigation and sustainable socio-economic development. Improving forecast precipitation accuracy remains a challenge. Therefore, a novel method for multi-model forecast precipitation integration considering long lead times was propo...

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Bibliographic Details
Main Authors:	Wei Fang, Hui Qin, Qian Lin, Benjun Jia, Yuqi Yang, Keyan Shen
Format:	Article
Language:	English
Published:	MDPI AG 2024-11-01
Series:	Remote Sensing
Subjects:	multi-model forecast precipitation integration deep learning long short-term memory neural network long lead times improving accuracy
Online Access:	https://www.mdpi.com/2072-4292/16/23/4489
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