Journal article
Microwave Satellite Data for Hydrologic Modeling in Ungauged Basins
IEEE geoscience and remote sensing letters, Vol.9(4), pp.663-667
07/01/2012
DOI: 10.1109/LGRS.2011.2177807
Abstract
An innovative flood-prediction framework is developed using Tropical Rainfall Measuring Mission precipitation forcing and a proxy for river discharge from the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E) onboard the National Aeronautics and Space Administration's Aqua satellite. The AMSR-E-detected water surface signal was correlated with in situ measurements of streamflow in the Okavango Basin in Southern Africa as indicated by a Pearson correlation coefficient of 0.90. A distributed hydrologic model, with structural data sets derived from remote-sensing data, was calibrated to yield simulations matching the flood frequencies from the AMSR-E-detected water surface signal. Model performance during a validation period yielded a Nash-Sutcliffe efficiency of 0.84. We concluded that remote-sensing data from microwave sensors could be used to supplement stream gauges in large sparsely gauged or ungauged basins to calibrate hydrologic models. Given the global availability of all required data sets, this approach can be potentially expanded to improve flood monitoring and prediction in sparsely gauged basins throughout the world.
Details
- Title: Subtitle
- Microwave Satellite Data for Hydrologic Modeling in Ungauged Basins
- Creators
- Sadiq I. Khan - University of OklahomaYang Hong - University of OklahomaHumberto J. Vergara - University of OklahomaJonathan J. Gourley - NOAA National Severe Storms LaboratoryG. Robert Brakenridge - Institute of Arctic and Alpine ResearchTom De Groeve - Joint Research CentreZachary L. Flamig - NOAA National Severe Storms LaboratoryFrederick Policelli - NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USABin Yong - State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering
- Resource Type
- Journal article
- Publication Details
- IEEE geoscience and remote sensing letters, Vol.9(4), pp.663-667
- Publisher
- IEEE
- DOI
- 10.1109/LGRS.2011.2177807
- ISSN
- 1545-598X
- eISSN
- 1558-0571
- Number of pages
- 5
- Grant note
- NNX08AX63H / National Aeronautics and Space Administration (NASA) Headquarters under the NASA Earth Science Fellowship Program
- Language
- English
- Date published
- 07/01/2012
- Academic Unit
- Civil and Environmental Engineering
- Record Identifier
- 9984446543802771
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