Journal article
The efficacy of calibrating hydrologic model using remotely sensed evapotranspiration and soil moisture for streamflow prediction
A Kunnath-Poovakka, D Ryu, LJ Renzullo, B George
Journal of Hydrology | Published : 2016
Abstract
Calibration 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 -..
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Grants
Awarded by University of Melbourne
Funding Acknowledgements
This research is financially supported by International Postgraduate Research Scholarships (IPRS), the Australian Postgraduate Award (APA) and the Carlton Connect Initiative Fund Project 22514, representing collaboration between the Melbourne School of Engineering, The University of Melbourne, and the South Australian Government Department of Environment, Water and Natural Resources. We would like to acknowledge Commonwealth Scientific and Industrial Research Organization (CSIRO) and Bureau of Meteorology (BoM) for providing data. We gratefully thank comments and ideas of Dr. Chun-Hsu Su that have significantly improved the quality of the paper. We thank the three anonymous reviewers, whose valuable comments/suggestions helped to improve this manuscript.