A comprehensive comparison of data fusion approaches to multi-source precipitation observations: a case study in Sichuan province, China.

Duan, Zhe; Ren, Yufeng; Liu, Xing; Lei, Huike; Hua, Xiaojun; Shu, Xiaolong; Zhou, Li

Duan, Zhe; Ren, Yufeng; Liu, Xing; Lei, Huike; Hua, Xiaojun; Shu, Xiaolong; Zhou, Li.

Afiliación

Duan Z; College of Water Resource and Hydropower, Sichuan Agricultural University, Yaan, 625000, China.
Ren Y; Hubei Key Laboratory for Smart Yangtze River and Hydroelectric Sciences, Yichang, 443133, China.
Liu X; College of Water Resource and Hydropower, Sichuan Agricultural University, Yaan, 625000, China. liux_1986@126.com.
Lei H; College of Water Resource and Hydropower, Sichuan Agricultural University, Yaan, 625000, China.
Hua X; Hubei Key Laboratory for Smart Yangtze River and Hydroelectric Sciences, Yichang, 443133, China.
Shu X; College of Water Resource and Hydropower, Sichuan Agricultural University, Yaan, 625000, China.
Zhou L; State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu, 610065, China.

Environ Monit Assess ; 194(6): 422, 2022 May 11.

Article en En | MEDLINE | ID: mdl-35543768

Asunto(s)

Monitoreo del Ambiente; Lluvia; Clima; Modelos Lineales; Meteorología

Palabras clave

Fusion algorithm; Precision analysis; Satellite precipitation; Site rainfall

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Lluvia / Monitoreo del Ambiente Idioma: En Revista: Environ Monit Assess Asunto de la revista: SAUDE AMBIENTAL Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos

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