Predictions in a data-sparse region using a regionalized grid-based hydrologic model driven by remotely sensed data

Hydrology Research

Volumn 42, Issue 5, 2011, Pages 338-355

  Samaniego, Luis ^a   Kumar, Rohini ^a   Jackisch, Conrad ^b  

^a HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Data sparse region; mHM model; PUB; Regionalization; Remote sensing

Indexed keywords

BLENDING TECHNIQUES; DAILY DISCHARGE; DATA-SPARSE REGION; DISTRIBUTED MODELS; GEO-INFORMATION; GLOBAL PARAMETERS; GRID-BASED; HYDROLOGIC MODELS; IN-SITU OBSERVATIONS; LANDSAT; MESOSCALE; MHM MODEL; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; MONSOON SEASON; MULTISCALES; NUMERICAL EXPERIMENTS; PUB; REGIONALIZATION; REGIONALIZATION TECHNIQUES; REMOTELY SENSED DATA; SEMI ARID; SHUTTLE RADAR TOPOGRAPHY MISSION; TROPICAL RAINFALL MEASURING MISSIONS;

ATMOSPHERIC THERMODYNAMICS; BLENDING; MATHEMATICAL MODELS; RADIOMETERS; RAIN; RAIN GAGES; RATING; SATELLITE IMAGERY; TIME SERIES; TRACKING RADAR;

REMOTE SENSING;

ASSESSMENT METHOD; CALIBRATION; DATA SET; EXPERIMENTAL STUDY; FEASIBILITY STUDY; HYDROLOGICAL MODELING; LANDSAT; MATHEMATICAL ANALYSIS; MODIS; OBSERVATIONAL METHOD; PREDICTION; RAINFALL; REGIONALIZATION; REMOTE SENSING; SHUTTLE RADAR TOPOGRAPHY MISSION; TROPICAL ENVIRONMENT;

EID: 80051542375     PISSN: 00291277     EISSN: None     Source Type: Journal    
DOI: 10.2166/nh.2011.156     Document Type: Article

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