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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