A Method for Spatiotemporally Merging Multi-Source Precipitation Based on Deep Learning

Reliable precipitation data are essential for studying water cycle patterns and climate change. However, there are always temporal or spatial errors in precipitation data from various sources. Most precipitation fusion methods are influenced by high-dimensional input features and do not make good us...

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Detalhes bibliográficos

Principais autores:	Wei Fang, Hui Qin, Guanjun Liu, Xin Yang, Zhanxing Xu, Benjun Jia, Qianyi Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2023-08-01
coleção:	Remote Sensing
Assuntos:	A-ConvLSTM model multi-source precipitation products spatiotemporal fusion method deep learning precipitation accuracy improvement
Acesso em linha:	https://www.mdpi.com/2072-4292/15/17/4160
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