SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia

Remote Sensing of Environment

Volumn 168, Issue , 2015, Pages 146-162

  Lievens, H ^a   Tomer, S K ^b   Al Bitar, A ^b   De Lannoy, G J M ^c   Drusch, M ^d   Dumedah, G ^e   Hendricks Franssen, H J ^f   Kerr, Y H ^b   Martens, B ^a   Pan, M ^g   Roundy, J K ^c   Vereecken, H ^f   Walker, J P ^e   Wood, E F ^g   Verhoest, N E C ^a   Pauwels, V R N ^e  

^a GHENT UNIVERSITY   (Belgium)

^b CESBIO   (France)

^c NASA GODDARD SPACE FLIGHT CENTER   (United States)

^d EUROPEAN SPACE AGENCY   (Netherlands)

^e MONASH UNIVERSITY   (Australia)

^f FORSCHUNGSZENTRUM JÜLICH   (Germany)

^g PRINCETON UNIVERSITY   (United States)

Author keywords

Data assimilation; Murray Darling Basin; SMOS; Soil moisture; Streamflow

Indexed keywords

CATCHMENTS; DIGITAL STORAGE; FORECASTING; MEAN SQUARE ERROR; MOISTURE; RUNOFF; SOIL MOISTURE; SOILS; STREAM FLOW;

ASSIMILATION ALGORITHMS; DATA ASSIMILATION; MURRAY-DARLING BASIN; ROOT MEAN SQUARE ERRORS; SMOS; SOIL MOISTURE DISTRIBUTION; SOIL MOISTURE RETRIEVALS; VARIABLE INFILTRATION CAPACITY MODELS;

SOIL SURVEYS;

DATA ASSIMILATION; ENSEMBLE FORECASTING; ERROR CORRECTION; GAUGE; HYDROLOGICAL MODELING; IN SITU MEASUREMENT; INFILTRATION; KALMAN FILTER; LAND SURFACE; MODEL VALIDATION; RUNOFF; SATELLITE DATA; SMOS; SOIL MOISTURE; STREAMFLOW;

AUSTRALIA; MURRAY-DARLING BASIN;

EID: 84937027062     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2015.06.025     Document Type: Article

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