Enhancing model skill by assimilating SMOPS blended soil moisture product into Noah land surface model

Journal of Hydrometeorology

Volumn 16, Issue 2, 2015, Pages 917-931

  Yin, Jifu ^a,b,c   Zhan, Xiwu ^b   Zheng, Youfei ^a   Liu, Jicheng ^a,d   Fang, Li ^a   Hain, Christopher R ^a,c  

^a NANJING UNIVERSITY OF INFORMATION SCIENCE AND TECHNOLOGY   (China)

^b NOAA EARTH SYSTEM RESEARCH LABORATORY   (United States)

^c UNIVERSITY OF MARYLAND   (United States)

^d GEORGE MASON UNIVERSITY   (United States)

Author keywords

Data assimilation; Land surface model; Soil moisture; Soil temperature

Indexed keywords

ASCAT; DATA ASSIMILATION; KALMAN FILTER; LAND SURFACE; LONGWAVE RADIATION; SATELLITE DATA; SATELLITE IMAGERY; SMOS; SOIL MOISTURE; SOIL TEMPERATURE; WINDSAT;

EID: 84941196575     PISSN: 1525755X     EISSN: 15257541     Source Type: Journal    
DOI: 10.1175/JHM-D-14-0070.1     Document Type: Article

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