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Adequacy of satellite derived rainfall data for stream flow modeling
Authors:Guleid Artan  Hussein Gadain  Jodie L Smith  Kwabena Asante  Christina J Bandaragoda  James P Verdin
Institution:(1) Early Warning and Environmental Monitoring, SAIC Contractor to U.S. Geological Survey (USGS) Center for Earth Resources Observation and Science, 47914 252nd Street, Sioux Falls, SD 57198-0001, USA;(2) Regional Centre for Mapping of Resources for Development (RCMRD), Kasarani Road, Ruaraka, Nairobi, Kenya;(3) Utah Water Research Laboratory, Utah State University, 8200 Old Main Hill, Logan, UT, 84322-8200, USA;(4) Early Warning and Environmental Monitoring, U.S. Geological Survey (USGS) Center for Earth Resources Observation and Science, 47914 252nd Street, Sioux Falls, SD 57198-0001, USA
Abstract:Floods are the most common and widespread climate-related hazard on Earth. Flood forecasting can reduce the death toll associated with floods. Satellites offer effective and economical means for calculating areal rainfall estimates in sparsely gauged regions. However, satellite-based rainfall estimates have had limited use in flood forecasting and hydrologic stream flow modeling because the rainfall estimates were considered to be unreliable. In this study we present the calibration and validation results from a spatially distributed hydrologic model driven by daily satellite-based estimates of rainfall for sub-basins of the Nile and Mekong Rivers. The results demonstrate the usefulness of remotely sensed precipitation data for hydrologic modeling when the hydrologic model is calibrated with such data. However, the remotely sensed rainfall estimates cannot be used confidently with hydrologic models that are calibrated with rain gauge measured rainfall, unless the model is recalibrated. G. Artan, J. L. Smith and K. Asante – work performed under USGS contract 03CRCN0001.
Keywords:Flood forecasting  Satellite-based rainfall estimates  Remotely sensed rainfall  Hydrologic modeling  Calibration  Validation  Nile River  Mekong River
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