An ensemble Kalman filter dual assimilation of thermal infrared and microwave satellite observations of soil moisture into the Noah land surface model

Water Resources Research

Volumn 48, Issue 11, 2012, Pages

  Hain, Christopher R ^a   Crow, Wade T ^b   Anderson, Martha C ^b   Mecikalski, John R ^c  

^a UNIVERSITY OF MARYLAND   (United States)

^b AGRICULTURAL RESEARCH SERVICE   (United States)

^c UNIVERSITY OF ALABAMA IN HUNTSVILLE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMSTERDAM; CLIMATE ANALYSIS; DATA ASSIMILATION; DATA DENIAL EXPERIMENTS; DENSE VEGETATION; ENSEMBLE KALMAN FILTER; EVAPORATIVE FLUX; GROUND BASED; LAND SURFACE MODELS; MICROWAVE SATELLITE OBSERVATIONS; PARAMETER RETRIEVAL; PRECIPITATION DATA; REMOTELY SENSED SOIL MOISTURE; ROOT ZONE; SURFACE ZONES; THERMAL INFRARED;

DATA PROCESSING; EXPERIMENTS; INFRARED RADIATION; KALMAN FILTERS; NASA; REMOTE SENSING; SOIL MOISTURE;

MICROWAVE SENSORS;

DATA ASSIMILATION; DATA SET; ENSEMBLE FORECASTING; EXPERIMENTAL STUDY; GROUND-BASED MEASUREMENT; KALMAN FILTER; LAND SURFACE; RHIZOSPHERE; SATELLITE IMAGERY; SENSOR; SOIL MOISTURE;

UNITED STATES;

EID: 84869993127     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2011WR011268     Document Type: Article

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