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A framework for testing dynamic classification of vulnerable scenarios in ensemble water supply projections

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  • Bethany Robinson

    (University of California)

  • Jonathan D. Herman

    (University of California)

Abstract

Recent water resources planning studies have proposed climate adaptation strategies in which infrastructure and policy actions are triggered by observed thresholds or “signposts.” However, the success of such strategies depends on whether thresholds can be accurately linked to future vulnerabilities. This study presents a framework for testing the ability of adaptation thresholds to dynamically identify vulnerable scenarios within ensemble projections. Streamflow projections for 91 river sites predominantly in the western USA are used as a case study in which vulnerability is determined by the ensemble members with the lowest 10% of end-of-century mean annual flow. Illustrative planning thresholds are defined through time for each site based on the mean streamflow below which a specified fraction of scenarios is vulnerable. We perform a leave-one-out cross-validation to compute the frequency of incorrectly identifying or failing to identify a vulnerable scenario (false positives and false negatives, respectively). Results show that in general, this method of defining thresholds can identify vulnerable scenarios with low false positive rates (

Suggested Citation

  • Bethany Robinson & Jonathan D. Herman, 2019. "A framework for testing dynamic classification of vulnerable scenarios in ensemble water supply projections," Climatic Change, Springer, vol. 152(3), pages 431-448, March.
    • Handle: RePEc:spr:climat:v:152:y:2019:i:3:d:10.1007_s10584-018-2347-3
    DOI: 10.1007/s10584-018-2347-3
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    References listed on IDEAS

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    1. Warren E. Walker & Marjolijn Haasnoot & Jan H. Kwakkel, 2013. "Adapt or Perish: A Review of Planning Approaches for Adaptation under Deep Uncertainty," Sustainability, MDPI, vol. 5(3), pages 1-25, March.
    2. Francesco Dottori & Wojciech Szewczyk & Juan-Carlos Ciscar & Fang Zhao & Lorenzo Alfieri & Yukiko Hirabayashi & Alessandra Bianchi & Ignazio Mongelli & Katja Frieler & Richard A. Betts & Luc Feyen, 2018. "Increased human and economic losses from river flooding with anthropogenic warming," Nature Climate Change, Nature, vol. 8(9), pages 781-786, September.
    3. Jan Kwakkel & Marjolijn Haasnoot & Warren Walker, 2015. "Developing dynamic adaptive policy pathways: a computer-assisted approach for developing adaptive strategies for a deeply uncertain world," Climatic Change, Springer, vol. 132(3), pages 373-386, October.
    4. Kwakkel, Jan H. & Pruyt, Erik, 2013. "Exploratory Modeling and Analysis, an approach for model-based foresight under deep uncertainty," Technological Forecasting and Social Change, Elsevier, vol. 80(3), pages 419-431.
    5. Robert J. Lempert & Myles T. Collins, 2007. "Managing the Risk of Uncertain Threshold Responses: Comparison of Robust, Optimum, and Precautionary Approaches," Risk Analysis, John Wiley & Sons, vol. 27(4), pages 1009-1026, August.
    6. Suraje Dessai & Mike Hulme, 2004. "Does climate adaptation policy need probabilities?," Climate Policy, Taylor & Francis Journals, vol. 4(2), pages 107-128, June.
    7. 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.
    8. Hallegatte, Stephane & Shah, Ankur & Lempert, Robert & Brown, Casey & Gill, Stuart, 2012. "Investment decision making under deep uncertainty -- application to climate change," Policy Research Working Paper Series 6193, The World Bank.
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