Multi-Source Precipitation Data Merging for Heavy Rainfall Events Based on Cokriging and Machine Learning Methods

Gridded precipitation data with a high spatiotemporal resolution are of great importance for studies in hydrology, meteorology, and agronomy. Observational data from meteorological stations cannot accurately reflect the spatiotemporal distribution and variations of precipitation over a large area. M...

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Hlavní autoři:	Junmin Zhang, Jianhui Xu, Xiaoai Dai, Huihua Ruan, Xulong Liu, Wenlong Jing
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-04-01
Edice:	Remote Sensing
Témata:	heavy rainfall events data merging CoKriging machine learning multi-source precipitation
On-line přístup:	https://www.mdpi.com/2072-4292/14/7/1750
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