GSTDTAP  > 资源环境科学
DOI10.1002/2017WR021094
Probable Maximum Precipitation in the US Pacific Northwest in a Changing Climate
Chen, Xiaodong1; Hossain, Faisal1; Leung, L. Ruby2
2017-11-01
发表期刊WATER RESOURCES RESEARCH
ISSN0043-1397
EISSN1944-7973
出版年2017
卷号53期号:11
文章类型Article
语种英语
国家USA
英文摘要

The safety of large and aging water infrastructures is gaining attention in water management given the accelerated rate of change in landscape, climate, and society. In current engineering practice, such safety is ensured by the design of infrastructure for the Probable Maximum Precipitation (PMP). Recently, several numerical modeling approaches have been proposed to modernize the conventional and ad hoc PMP estimation approach. However, the underlying physics have not been fully investigated and thus differing PMP estimates are sometimes obtained without physics-based interpretations. In this study, we present a hybrid approach that takes advantage of both traditional engineering practice and modern climate science to estimate PMP for current and future climate conditions. The traditional PMP approach is modified and applied to five statistically downscaled CMIP5 model outputs, producing an ensemble of PMP estimates in the Pacific Northwest (PNW) during the historical (1970-2016) and future (2050-2099) time periods. The hybrid approach produced consistent historical PMP estimates as the traditional estimates. PMP in the PNW will increase by 50%30% of the current design PMP by 2099 under the RCP8.5 scenario. Most of the increase is caused by warming, which mainly affects moisture availability through increased sea surface temperature, with minor contributions from changes in storm efficiency in the future. Moist track change tends to reduce the future PMP. Compared with extreme precipitation, PMP exhibits higher internal variability. Thus, long-time records of high-quality data in both precipitation and related meteorological fields (temperature, wind fields) are required to reduce uncertainties in the ensemble PMP estimates.


Plain Language Summary In this study, the hybrid approach is used to reconstruct the PMP in the Pacific Northwest region and investigate the likely future change in PMP under projected climate change by climate models. Our research questions are as follows. (1) What are the PMP estimates in the U.S. PNW region based on climate science and current engineering convention? (2) How will such PMP estimates change in the future in the PNW region and what are the contributions of various climate factors to the PMP change?


英文关键词extreme storms infrastructure climate change Probable Maximum Precipitation
领域资源环境
收录类别SCI-E
WOS记录号WOS:000418736700052
WOS关键词SEA-SURFACE TEMPERATURE ; EXTREME PRECIPITATION ; ATMOSPHERIC RIVERS ; WATER MANAGEMENT ; FUTURE CHANGES ; HYSPLIT MODEL ; SIMULATIONS ; MOISTURE ; RAINFALL ; DAM
WOS类目Environmental Sciences ; Limnology ; Water Resources
WOS研究方向Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/20129
专题资源环境科学
作者单位1.Univ Washington, Dept Civil & Environm Engn, Seattle, WA 98195 USA;
2.Pacific Northwest Natl Lab, Atmospher Sci & Global Change Div, Richland, WA USA
推荐引用方式
GB/T 7714
Chen, Xiaodong,Hossain, Faisal,Leung, L. Ruby. Probable Maximum Precipitation in the US Pacific Northwest in a Changing Climate[J]. WATER RESOURCES RESEARCH,2017,53(11).
APA Chen, Xiaodong,Hossain, Faisal,&Leung, L. Ruby.(2017).Probable Maximum Precipitation in the US Pacific Northwest in a Changing Climate.WATER RESOURCES RESEARCH,53(11).
MLA Chen, Xiaodong,et al."Probable Maximum Precipitation in the US Pacific Northwest in a Changing Climate".WATER RESOURCES RESEARCH 53.11(2017).
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