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Grappling with uncertainties in physical climate impact projections of water resources

Author

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  • Rutger Dankers

    (Wageningen University & Research)

  • Zbigniew W. Kundzewicz

    (Polish Academy of Sciences)

Abstract

This paper reviews the sources of uncertainty in physical climate impact assessments. It draws on examples from related fields such as climate modelling and numerical weather prediction in discussing how to interpret the results of multi-model ensembles and the role of model evaluation. Using large-scale, multi-model simulations of hydrological extremes as an example, we demonstrate how large uncertainty at the local scale does not preclude more robust conclusions at the global scale. Finally, some recommendations are made: climate impact studies should be clear about the questions they want to address, transparent about the uncertainties involved, and honest about the assumptions being made.

Suggested Citation

  • Rutger Dankers & Zbigniew W. Kundzewicz, 2020. "Grappling with uncertainties in physical climate impact projections of water resources," Climatic Change, Springer, vol. 163(3), pages 1379-1397, December.
  • Handle: RePEc:spr:climat:v:163:y:2020:i:3:d:10.1007_s10584-020-02858-4
    DOI: 10.1007/s10584-020-02858-4
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    References listed on IDEAS

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    1. Kalra, Nidhi & Hallegatte, Stephane & Lempert, Robert & Brown, Casey & Fozzard, Adrian & Gill, Stuart & Shah, Ankur, 2014. "Agreeing on robust decisions : new processes for decision making under deep uncertainty," Policy Research Working Paper Series 6906, The World Bank.
    2. Detlef Vuuren & Jae Edmonds & Mikiko Kainuma & Keywan Riahi & Allison Thomson & Kathy Hibbard & George Hurtt & Tom Kram & Volker Krey & Jean-Francois Lamarque & Toshihiko Masui & Malte Meinshausen & N, 2011. "The representative concentration pathways: an overview," Climatic Change, Springer, vol. 109(1), pages 5-31, November.
    3. F. F. Hattermann & V. Krysanova & S. N. Gosling & R. Dankers & P. Daggupati & C. Donnelly & M. Flörke & S. Huang & Y. Motovilov & S. Buda & T. Yang & C. Müller & G. Leng & Q. Tang & F. T. Portmann & S, 2017. "Cross‐scale intercomparison of climate change impacts simulated by regional and global hydrological models in eleven large river basins," Climatic Change, Springer, vol. 141(3), pages 561-576, April.
    4. E. M. Fischer & U. Beyerle & R. Knutti, 2013. "Robust spatially aggregated projections of climate extremes," Nature Climate Change, Nature, vol. 3(12), pages 1033-1038, December.
    5. John Hunter, 2012. "A simple technique for estimating an allowance for uncertain sea-level rise," Climatic Change, Springer, vol. 113(2), pages 239-252, July.
    6. 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.
    7. Wendy S. Parker, 2013. "Ensemble modeling, uncertainty and robust predictions," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 4(3), pages 213-223, May.
    8. Tobias Vetter & Julia Reinhardt & Martina Flörke & Ann Griensven & Fred Hattermann & Shaochun Huang & Hagen Koch & Ilias G. Pechlivanidis & Stefan Plötner & Ousmane Seidou & Buda Su & R. Willem Vervoo, 2017. "Evaluation of sources of uncertainty in projected hydrological changes under climate change in 12 large-scale river basins," Climatic Change, Springer, vol. 141(3), pages 419-433, April.
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    Cited by:

    1. Alison Kay, 2022. "Differences in hydrological impacts using regional climate model and nested convection-permitting model data," Climatic Change, Springer, vol. 173(1), pages 1-19, July.

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