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Analysis of hydrological extremes at different hydro-climatic regimes under present and future conditions

Author

Listed:
  • I. G. Pechlivanidis

    (Swedish Meteorological and Hydrological Institute)

  • B. Arheimer

    (Swedish Meteorological and Hydrological Institute)

  • C. Donnelly

    (Swedish Meteorological and Hydrological Institute)

  • Y. Hundecha

    (Swedish Meteorological and Hydrological Institute)

  • S. Huang

    (Potsdam Institute for Climate Impact Research)

  • V. Aich

    (Potsdam Institute for Climate Impact Research)

  • L. Samaniego

    (Helmholtz Centre for Environmental Research – UFZ)

  • S. Eisner

    (University of Kassel)

  • P. Shi

    (Hohai University)

Abstract

We investigate simulated hydrological extremes (i.e., high and low flows) under the present and future climatic conditions for five river basins worldwide: the Ganges, Lena, Niger, Rhine, and Tagus. Future projections are based on five GCMs and four emission scenarios. We analyse results from the HYPE, mHM, SWIM, VIC and WaterGAP3 hydrological models calibrated and validated to simulate each river. The use of different impact models and future projections allows for an assessment of the uncertainty of future impacts. The analysis of extremes is conducted for four different time horizons: reference (1981–2010), early-century (2006–2035), mid-century (2036–2065) and end-century (2070–2099). In addition, Sen’s non-parametric estimator of slope is used to calculate the magnitude of trend in extremes, whose statistical significance is assessed by the Mann–Kendall test. Overall, the impact of climate change is more severe at the end of the century and particularly in dry regions. High flows are generally sensitive to changes in precipitation, however sensitivity varies between the basins. Finally, results show that conclusions in climate change impact studies can be highly influenced by uncertainty both in the climate and impact models, whilst the sensitivity to climate modelling uncertainty becoming greater than hydrological model uncertainty in the dry regions.

Suggested Citation

  • I. G. Pechlivanidis & B. Arheimer & C. Donnelly & Y. Hundecha & S. Huang & V. Aich & L. Samaniego & S. Eisner & P. Shi, 2017. "Analysis of hydrological extremes at different hydro-climatic regimes under present and future conditions," Climatic Change, Springer, vol. 141(3), pages 467-481, April.
  • Handle: RePEc:spr:climat:v:141:y:2017:i:3:d:10.1007_s10584-016-1723-0
    DOI: 10.1007/s10584-016-1723-0
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    References listed on IDEAS

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    1. Chantal Donnelly & Wei Yang & Joel Dahné, 2014. "River discharge to the Baltic Sea in a future climate," Climatic Change, Springer, vol. 122(1), pages 157-170, January.
    2. Yukiko Hirabayashi & Roobavannan Mahendran & Sujan Koirala & Lisako Konoshima & Dai Yamazaki & Satoshi Watanabe & Hyungjun Kim & Shinjiro Kanae, 2013. "Global flood risk under climate change," Nature Climate Change, Nature, vol. 3(9), pages 816-821, September.
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    Cited by:

    1. Shaochun Huang & Harsh Shah & Bibi S. Naz & Narayan Shrestha & Vimal Mishra & Prasad Daggupati & Uttam Ghimire & Tobias Vetter, 2020. "Impacts of hydrological model calibration on projected hydrological changes under climate change—a multi-model assessment in three large river basins," Climatic Change, Springer, vol. 163(3), pages 1143-1164, December.
    2. Srishti Gaur & Arnab Bandyopadhyay & Rajendra Singh, 2021. "From Changing Environment to Changing Extremes: Exploring the Future Streamflow and Associated Uncertainties Through Integrated Modelling System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(6), pages 1889-1911, April.
    3. Hadi Galavi & Majid Mirzaei, 2020. "Analyzing Uncertainty Drivers of Climate Change Impact Studies in Tropical and Arid Climates," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(6), pages 2097-2109, April.
    4. Yeshewatesfa Hundecha & Berit Arheimer & Peter Berg & René Capell & Jude Musuuza & Ilias Pechlivanidis & Christiana Photiadou, 2020. "Effect of model calibration strategy on climate projections of hydrological indicators at a continental scale," Climatic Change, Springer, vol. 163(3), pages 1287-1306, December.
    5. Hadush Meresa & Bernhard Tischbein & Tewodros Mekonnen, 2022. "Climate change impact on extreme precipitation and peak flood magnitude and frequency: observations from CMIP6 and hydrological models," 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. 111(3), pages 2649-2679, April.
    6. Nina Rholan Houngue & Adrian Delos Santos Almoradie & Sophie Thiam & Kossi Komi & Julien G. Adounkpè & Komi Begedou & Mariele Evers, 2023. "Climate and Land-Use Change Impacts on Flood Hazards in the Mono River Catchment of Benin and Togo," Sustainability, MDPI, vol. 15(7), pages 1-31, March.

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