A GWR downscaling method to reconstruct high-resolution precipitation dataset based on GSMaP-Gauge data: A case study in the Qilian Mountains, Northwest China.

Wang, Hong; Zang, Fei; Zhao, Chuanyan; Liu, Chenli

Wang, Hong; Zang, Fei; Zhao, Chuanyan; Liu, Chenli.

Afiliación

Wang H; State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China. Electronic address: wangh18@lzu.edu.cn.
Zang F; State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China.
Zhao C; State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China. Electronic address: zhaochy@lzu.edu.cn.
Liu C; State Key Laboratory of Grassland Agro-ecosystems, Key Laboratory of Grassland Livestock Industry Innovation, Ministry of Agriculture and Rural Affairs, College of Pastoral Agriculture Science and Technology, Lanzhou University, Lanzhou 730020, China.

Sci Total Environ ; 810: 152066, 2022 Mar 01.

Article en En | MEDLINE | ID: mdl-34863760

Asunto(s)

Lluvia; Regresión Espacial; China; Hidrología; Estaciones del Año

Palabras clave

Downscaling; GSMap products; Geographically weighted regression; Precipitation; Qilian Mountains

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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Lluvia / Regresión Espacial Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Sci Total Environ Año: 2022 Tipo del documento: Article

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