Estimation of regional terrestrial water cycle using multi-sensor remote sensing observations and data assimilation

Remote Sensing of Environment

Volumn 112, Issue 4, 2008, Pages 1282-1294

  Pan, Ming ^a   Wood, Eric F ^a   Wójcik, Rafał ^a   McCabe, Matthew F ^b  

^a Princeton University   (United States)

^b LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

Copula; Data assimilation; Ensemble Kalman filter; LSMEM; MODIS; Particle filter; Remote sensing; SEBS; TRMM

Indexed keywords

DATA ACQUISITION; KALMAN FILTERS; MATHEMATICAL MODELS; RAIN; REMOTE SENSING; RIVERS;

DATA ASSIMILATION; ENSEMBLE KALMAN FILTER;

WATER;

DATA ASSIMILATION; EXPERIMENTAL STUDY; KALMAN FILTER; MODIS; REMOTE SENSING; SATELLITE DATA; SOIL MOISTURE; STATISTICAL ANALYSIS; WATER BUDGET;

ARKANSAS BASIN; NORTH AMERICA; RED BASIN [UNITED STATES]; UNITED STATES;

EID: 40649083785     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2007.02.039     Document Type: Article

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