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Adequacy of satellite derived rainfall data for stream flow modeling

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Listed:
  • Guleid Artan
  • Hussein Gadain
  • Jodie Smith
  • Kwabena Asante
  • Christina Bandaragoda
  • James Verdin

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. Copyright Springer Science+Business Media, Inc. 2007

Suggested Citation

  • Guleid Artan & Hussein Gadain & Jodie Smith & Kwabena Asante & Christina Bandaragoda & James Verdin, 2007. "Adequacy of satellite derived rainfall data for stream flow modeling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 43(2), pages 167-185, November.
    • Handle: RePEc:spr:nathaz:v:43:y:2007:i:2:p:167-185
    DOI: 10.1007/s11069-007-9121-6
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    References listed on IDEAS

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    1. S. Jonkman, 2005. "Global Perspectives on Loss of Human Life Caused by Floods," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 34(2), pages 151-175, February.
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    1. Robyn Johnston & Vladimir Smakhtin, 2014. "Hydrological Modeling of Large river Basins: How Much is Enough?," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2695-2730, August.
    2. Woo Han & Steven Burian & J. Shepherd, 2011. "Assessment of satellite-based rainfall estimates in urban areas in different geographic and climatic regions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 56(3), pages 733-747, March.
    3. Amarnath, Giriraj & Simons, G. W. H. & Alahacoon, Niranga & Smakhtin, V. & Sharma, Bharat & Gismalla, Y. & Mohammed, Y. & Andrie, M. C. M., 2018. "Using smart ICT to provide weather and water information to smallholders in Africa: the case of the Gash River Basin, Sudan," Papers published in Journals (Open Access), International Water Management Institute, pages 22:52-66.
    4. Rajesh Khatakho & Dipendra Gautam & Komal Raj Aryal & Vishnu Prasad Pandey & Rajesh Rupakhety & Suraj Lamichhane & Yi-Chung Liu & Khameis Abdouli & Rocky Talchabhadel & Bhesh Raj Thapa & Rabindra Adhi, 2021. "Multi-Hazard Risk Assessment of Kathmandu Valley, Nepal," Sustainability, MDPI, vol. 13(10), pages 1-27, May.

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