Optimal averaging of soil moisture predictions from ensemble land surface model simulations

Water Resources Research

Volumn 51, Issue 11, 2015, Pages 9273-9289

  Crow, W T ^a   Su, C H ^b   Ryu, D ^b   Yilmaz, M T ^c  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b UNIVERSITY OF MELBOURNE   (Australia)

^c MIDDLE EAST TECHNICAL UNIVERSITY   (Turkey)

Author keywords

ensemble; land surface modeling; remote sensing; soil moisture

Indexed keywords

INFORMATION USE; MOISTURE; REMOTE SENSING; SOIL SURVEYS; SOILS; SPACE OPTICS; SURFACE MEASUREMENT; UNCERTAINTY ANALYSIS;

ENSEMBLE; INFORMATION CONCERNING; INSTRUMENTAL VARIABLES; LAND SURFACE MODELING; NORTH AMERICAN LAND DATA ASSIMILATION SYSTEMS; PARALLEL IMPLEMENTATIONS; SATELLITE REMOTE SENSING; SOIL MOISTURE PREDICTIONS;

SOIL MOISTURE;

DATA ASSIMILATION; DATA SET; ENSEMBLE FORECASTING; LAND SURFACE; LONG-TERM CHANGE; PREDICTION; REMOTE SENSING; SATELLITE IMAGERY; SOIL MOISTURE;

EID: 84956994003     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/2015WR016944     Document Type: Article

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