Hydrologic data assimilation with a hillslope-scale-resolving model and L band radar observations: Synthetic experiments with the ensemble Kalman filter

Water Resources Research

Volumn 48, Issue 8, 2012, Pages

  Flores, Alejandro N ^a   Bras, Rafael L ^b   Entekhabi, Dara ^c  

^a BOISE STATE UNIVERSITY   (United States)

^b Georgia Institute of Technology   (United States)

^c Massachusetts Institute of Technology Cambridge   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA ASSIMILATION; DOWN-SCALING; ENSEMBLE KALMAN FILTER; HIGH RESOLUTION; HILLSLOPES; HYDROLOGIC DATA; HYDROLOGIC MODELS; IN-CHANNELS; IN-SITU; L BAND RADARS; LANDSLIDE SUSCEPTIBILITY; MICROWAVE OBSERVATIONS; MOISTURE FIELD; NEAR-SURFACE; OPEN-LOOP SIMULATIONS; PHYSICS-BASED; PHYSICS-BASED MODELS; RADAR BACKSCATTER; ROOT-MEAN SQUARE ERRORS; SOIL MOISTURE ESTIMATION; SOIL MOISTURE MEASUREMENT; SOIL PROFILES; SPATIAL SCALE; SYNTHETIC EXPERIMENTS; TEMPORAL COVERAGE; TEMPORAL SCALE; TRAFFICABILITY;

ESTIMATION; KALMAN FILTERS; LANDFORMS; MILITARY APPLICATIONS; NASA; REMOTE SENSING; WATERSHEDS;

SOIL MOISTURE;

ALGORITHM; BACKSCATTER; DATA ASSIMILATION; DOWNSCALING; ERROR ANALYSIS; ESTIMATION METHOD; HILLSLOPE; HYDROLOGICAL MODELING; KALMAN FILTER; LANDSLIDE; NUMERICAL MODEL; RADAR; REMOTE SENSING; SOIL MOISTURE; SOIL PROFILE; SPATIAL ANALYSIS; WATERSHED;

EID: 84865495165     PISSN: 00431397     EISSN: None     Source Type: Journal    
DOI: 10.1029/2011WR011500     Document Type: Article

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