Your browser doesn't support javascript.
loading
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.
Affiliation
  • 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 in En | MEDLINE | ID: mdl-35543768
Subject(s)
Key words
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Rain / Environmental Monitoring Language: En Journal: Environ Monit Assess Journal subject: SAUDE AMBIENTAL Year: 2022 Type: Article Affiliation country: China
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Rain / Environmental Monitoring Language: En Journal: Environ Monit Assess Journal subject: SAUDE AMBIENTAL Year: 2022 Type: Article Affiliation country: China