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Modernizing Probable Maximum Precipitation Estimation

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For more than 75 years, high-hazard structures in the U.S., including dams and nuclear power plants, have been engineered to withstand floods resulting from the most unlikely but possible precipitation, termed Probable Maximum Precipitation (PMP). Failure of any one of the more than 16,000 high-hazard dams and 50 nuclear power plants in the United States could result in the loss of life and impose significant economic losses and widespread environmental damage, especially under the pressures of climate change. While PMP estimates have provided useful guidance for designing critical infrastructure, weaknesses in the scientific foundations of PMP, combined with advances in understanding, observing, and modeling extreme storms, call for fundamental changes to the definition of PMP and the methods used to estimate it. Modernizing Probable Maximum Precipitation Estimation recommends a new definition of PMP and presents a vision for a methodology relevant for design, operation, and regulation of critical infrastructure. The new definition targets precipitation depths with an extremely low exceedance probability instead of assuming rainfall is bounded, and considers specified climate periods so that PMP estimates can change as the climate changes. Near-term enhancements to PMP include improved data collection, model-based storm reconstructions, and strengthened scientific grounding for PMP methods. Long-term model-based PMP estimation will employ kilometer-scale climate models capable of resolving PMP storms and producing PMP-magnitude precipitation. A Model Evaluation Project will provide scientific grounding for model-based PMP estimation and determine when transition to a model-based PMP estimation should occur. Scientific and modeling advances along this front will contribute to addressing the societal challenges linked to the changes in extreme storms and precipitation in a warming climate, which are critical steps to ensuring the safety of our infrastructure and society. Table of ContentsFront MatterSummary1 Need and Opportunity for a Modernized PMP Approach2 Common Understanding of PMP3 State of the Science and Recent Advances in Understanding Extreme Precipitation4 Critical Assessment of Current PMP Methods5 Recommended ApproachReferencesAppendix A: Committee Member and Staff Biographical SketchesAppendix B: History of PMPAppendix C: Dam CharacteristicsAppendix D: Criteria for a Modern PMP Estimation ProcessAppendix E: R Code used in Report Figures 3-5 and 5-3
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For more than 75 years, high-hazard structures in the U.S., including dams and nuclear power plants, have been engineered to withstand floods resulting from the most unlikely but possible precipitation, termed Probable Maximum Precipitation (PMP). Failure of any one of the more than 16,000 high-hazard dams and 50 nuclear power plants in the United States could result in the loss of life and impose significant economic losses and widespread environmental damage, especially under the pressures of climate change. While PMP estimates have provided useful guidance for designing critical infrastructure, weaknesses in the scientific foundations of PMP, combined with advances in understanding, observing, and modeling extreme storms, call for fundamental changes to the definition of PMP and the methods used to estimate it. Modernizing Probable Maximum Precipitation Estimation recommends a new definition of PMP and presents a vision for a methodology relevant for design, operation, and regulation of critical infrastructure. The new definition targets precipitation depths with an extremely low exceedance probability instead of assuming rainfall is bounded, and considers specified climate periods so that PMP estimates can change as the climate changes. Near-term enhancements to PMP include improved data collection, model-based storm reconstructions, and strengthened scientific grounding for PMP methods. Long-term model-based PMP estimation will employ kilometer-scale climate models capable of resolving PMP storms and producing PMP-magnitude precipitation. A Model Evaluation Project will provide scientific grounding for model-based PMP estimation and determine when transition to a model-based PMP estimation should occur. Scientific and modeling advances along this front will contribute to addressing the societal challenges linked to the changes in extreme storms and precipitation in a warming climate, which are critical steps to ensuring the safety of our infrastructure and society. Table of ContentsFront MatterSummary1 Need and Opportunity for a Modernized PMP Approach2 Common Understanding of PMP3 State of the Science and Recent Advances in Understanding Extreme Precipitation4 Critical Assessment of Current PMP Methods5 Recommended ApproachReferencesAppendix A: Committee Member and Staff Biographical SketchesAppendix B: History of PMPAppendix C: Dam CharacteristicsAppendix D: Criteria for a Modern PMP Estimation ProcessAppendix E: R Code used in Report Figures 3-5 and 5-3
Produktdetaljer
Sprog: Engelsk
Sider: 212
ISBN-13: 9780309715119
Indbinding: Paperback
Udgave:
ISBN-10: 0309715113
Udg. Dato: 24 okt 2024
Længde: 21mm
Bredde: 254mm
Højde: 177mm
Forlag: National Academies Press
Oplagsdato: 24 okt 2024
Forfatter(e) Board on Atmospheric Sciences and Climate, Engineering National Academies of Sciences, Water Science and Technology Board, Division on Earth and Life Studies, Committee on Modernizing Probable Maximum Precipitation Estimation


Kategori Hydrologi og hydrosfæren


ISBN-13 9780309715119


Sprog Engelsk


Indbinding Paperback


Sider 212


Udgave


Længde 21mm


Bredde 254mm


Højde 177mm


Udg. Dato 24 okt 2024


Oplagsdato 24 okt 2024


Forlag National Academies Press

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