Journal article
The Impact of Climate Change on Operational Probable Maximum Precipitation Estimates
JB Visser, S Kim, C Wasko, R Nathan, A Sharma
Water Resources Research | Published : 2022
DOI: 10.1029/2022WR032247
Abstract
The safety of high-risk water infrastructure, such as dams and nuclear power plants, is often assessed by reference to their ability to accommodate floods derived from the Probable Maximum Precipitation (PMP). However, a key shortcoming of traditional PMP estimates is the assumption of a stationary climate, with evidence indicating that key meteorological conditions related to the magnitudes of extreme storms, such as atmospheric moisture, are changing in a warming climate. Due to the pragmatic nature of PMP methods derived for design purposes, inferring potential changes in PMP estimates based solely on trends or projections of atmospheric variables can ignore PMP method complexities and co..
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Grants
Awarded by Australian Research Council
Funding Acknowledgements
Conrad Wasko receives funding from the University of Melbourne McKenzie Postdoctoral Fellowships Program and Australian Research Council (ARC) project DE210100479. This research was supported by the ARC Discovery project DP200101326, and by industry support from Hydro Tasmania, Melbourne Water, Murray-Darling Basin Authority, Queensland Department of Natural Resources Mines and Energy, Seqwater, Snowy Hydro, Sunwater, West Australian Water Corporation, and Water NSW. Seokhyeon Kim was partially supported by Korea Ministry of Environment (MOE) as the "Graduate School specializing in Climate Change." Open access publishing facilitated by University of New South Wales, as part of the Wiley - University of New South Wales agreement via the Council of Australian University Librarians.