Improved large-scale hydrological modelling through the assimilation of streamflow and downscaled satellite soil moisture observations

Hydrology and Earth System Sciences

Volumn 20, Issue 7, 2016, Pages 3059-3076

  López López, Patricia ^a,b   Wanders, Niko ^c   Schellekens, Jaap ^a   Renzullo, Luigi J ^d   Sutanudjaja, Edwin H ^b   Bierkens, Marc F P ^a,b  

^a DELTARES   (Netherlands)

^b UTRECHT UNIVERSITY   (Netherlands)

^c Princeton University   (United States)

^d CSIRO   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CLIMATE MODELS; DIGITAL STORAGE; HYDROLOGY; IMAGE RESOLUTION; METEOROLOGY; MOISTURE; RIVERS; SATELLITES; SOIL MOISTURE; SOILS; STREAM FLOW; WATER RESOURCES; WATERSHEDS;

COARSE-RESOLUTION MODEL; ENSEMBLE KALMAN FILTER; HIGH SPATIAL RESOLUTION; METEOROLOGICAL OBSERVATION; REMOTELY-SENSED OBSERVATIONS; SATELLITE SOIL MOISTURE; SPACEBORNE SOIL MOISTURE; WATER RESOURCES MANAGEMENT;

SOIL SURVEYS;

AMSR-E; DATA ASSIMILATION; DATA SET; DOWNSCALING; GAUGE; HYDROLOGICAL MODELING; REMOTE SENSING; RESOURCE MANAGEMENT; RIVER BASIN; SATELLITE; SOIL MOISTURE; SPATIAL RESOLUTION; STREAMFLOW; WATER BUDGET; WATER RESOURCE;

AUSTRALIA; MURRUMBIDGEE BASIN; NEW SOUTH WALES;

EID: 84980320154     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-20-3059-2016     Document Type: Article

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