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dc.contributorRyu, Dongryeolen_US
dc.contributorrenzullo, Luigien_US
dc.contributorGeorge, Biju Alummoottilen_US
dc.creatorKunnath-Poovakka, A.en_US
dc.identifier.citationA. Kunnath-Poovakka, Dongryeol Ryu, Luigi renzullo, Biju Alummoottil George. (18/2/2016). The efficacy of calibrating hydrologic model using remotely sensed evapotranspiration and soil moisture for streamflow prediction. Journal of Hydrology, 535, pp. 509-524.en_US
dc.description.abstractCalibration of spatially distributed hydrologic models is frequently limited by the availability of ground observations. Remotely sensed (RS) hydrologic information provides an alternative source of observations to inform models and extend modelling capability beyond the limits of ground observations. This study examines the capability of RS evapotranspiration (ET) and soil moisture (SM) in calibrating a hydrologic model and its efficacy to improve streamflow predictions. SM retrievals from the Advanced Microwave Scanning Radiometer-EOS (AMSR-E) and daily ET estimates from the CSIRO MODIS ReScaled potential ET (CMRSET) are used to calibrate a simplified Australian Water Resource Assessment – Landscape model (AWRA-L) for a selection of parameters. The Shuffled Complex Evolution Uncertainty Algorithm (SCE-UA) is employed for parameter estimation at eleven catchments in eastern Australia. A subset of parameters for calibration is selected based on the variance-based Sobol’ sensitivity analysis. The efficacy of 15 objective functions for calibration is assessed based on streamflow predictions relative to control cases, and relative merits of each are discussed. Synthetic experiments were conducted to examine the effect of bias in RS ET observations on calibration. The objective function containing the root mean square deviation (RMSD) of ET result in best streamflow pre- dictions and the efficacy is superior for catchments with medium to high average runoff. Synthetic experiments revealed that accurate ET product can improve the streamflow predictions in catchments with low average runoff.en_US
dc.sourceJournal of Hydrology;535,(2016) Pagination 509-524en_US
dc.subjectstreamflow calibration remotely sensed (rs) dataen_US
dc.titleThe efficacy of calibrating hydrologic model using remotely sensed evapotranspiration and soil moisture for streamflow predictionen_US
dc.typeJournal Articleen_US
cg.creator.idGeorge, Biju Alummoottil: 0000-0002-8427-3350en_US
cg.subject.agrovocsoil moistureen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerCommonwealth Science and Industrial Research Organisation - CSIROen_US
cg.contributor.centerThe University of Melbourne, Department of Infrastructure Engineeringen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionAustralia and New Zealanden_US
cg.isijournalISI Journalen_US
dc.identifier.statusOpen accessen_US
cg.journalJournal of Hydrologyen_US

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