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Evaluation of Global Water Resources Reanalysis Data for Estimating Flood Events in the Brahmaputra River Basin

Author

Listed:
  • Patricia López López

    (Inland Water Systems Unit, Deltares
    Utrecht University)

  • Tashrifa Sultana

    (Institute of Water Modelling (IWM))

  • Mohammed Abdulla Hel Kafi

    (Institute of Water Modelling (IWM))

  • Mohammed Shahadat Hossain

    (Institute of Water Modelling (IWM))

  • Abu Saleh Khan

    (Institute of Water Modelling (IWM))

  • Mohammed Sohel Masud

    (Institute of Water Modelling (IWM))

Abstract

Bangladesh and India are in a long-standing conflict with regard to the sharing of hydro-meteorological information of the Brahamaputra River. Consequently, it limits flood risk management in Bangladesh (the downstream country). Recently developed water resources reanalysis data appear as a promising alternative in providing this information. Further evaluation of these global datasets is needed to understand their capabilities to improve flood events estimation. In this study, the potential of the global water resources reanalysis (WRR) developed within the EU-FP7 project eartH2Observe is critically assessed for detecting and estimating flood events in the Brahmaputra River basin for 1980 to 2012 period. The discharge time series of five large-scale models available in the WRR dataset and two multi-model combinations are evaluated at different temporal resolutions and their performance is compared with a local-scale hydrological model. In situ data and reported damaging flood events compiled from two global disaster databases are used as benchmarks in flood events evaluation. Results show that the WRR data have reasonable skill in detecting flood events, though a significant underestimation of magnitude is found. This study also reveals that the individual large-scale models simulate peak flows similarly or even better than the local-scale model, capturing the hydrological behaviour in the basin and identifying the occurrence and severity of both observed and reported damaging flood events. In conclusion, this study gives insights in the applicability of global hydrological models and datasets for estimating flood events at a local-scale for transboundary rivers in water-sharing countries.

Suggested Citation

  • Patricia López López & Tashrifa Sultana & Mohammed Abdulla Hel Kafi & Mohammed Shahadat Hossain & Abu Saleh Khan & Mohammed Sohel Masud, 2020. "Evaluation of Global Water Resources Reanalysis Data for Estimating Flood Events in the Brahmaputra River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(7), pages 2201-2220, May.
    • Handle: RePEc:spr:waterr:v:34:y:2020:i:7:d:10.1007_s11269-020-02546-z
    DOI: 10.1007/s11269-020-02546-z
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    References listed on IDEAS

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    1. M. Monirul Qader Mirza, 2003. "Three Recent Extreme Floods in Bangladesh: A Hydro-Meteorological Analysis," 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. 28(1), pages 35-64, January.
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    Cited by:

    1. Victoria M. Garibay & Margaret W. Gitau & Nicholas Kiggundu & Daniel Moriasi & Fulgence Mishili, 2021. "Evaluation of Reanalysis Precipitation Data and Potential Bias Correction Methods for Use in Data-Scarce Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(5), pages 1587-1602, March.
    2. Geert Sterk & Frederiek Sperna-Weiland & Marc Bierkens, 2020. "Guest Editorial: Special Issue on Global Hydrological Datasets for Local Water Management Applications," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(7), pages 2111-2116, May.
    3. Dandan Zhang & Juqin Shen & Pengfei Liu & Fuhua Sun, 2020. "Allocation of Flood Drainage Rights Based on the PSR Model and Pythagoras Fuzzy TOPSIS Method," IJERPH, MDPI, vol. 17(16), pages 1-19, August.

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