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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Hlavní autoři:	Wei Fang, Hui Qin, Guanjun Liu, Xin Yang, Zhanxing Xu, Benjun Jia, Qianyi Zhang
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2023-08-01
Edice:	Remote Sensing
Témata:	A-ConvLSTM model multi-source precipitation products spatiotemporal fusion method deep learning precipitation accuracy improvement
On-line přístup:	https://www.mdpi.com/2072-4292/15/17/4160
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