Probable Maximum Precipitation in the US Pacific Northwest in a Changing Climate

被引:33
作者
Chen, Xiaodong [1 ]
Hossain, Faisal [1 ]
Leung, L. Ruby [2 ]
机构
[1] Univ Washington, Dept Civil & Environm Engn, Seattle, WA 98195 USA
[2] Pacific Northwest Natl Lab, Atmospher Sci & Global Change Div, Richland, WA USA
关键词
extreme storms; infrastructure; climate change; Probable Maximum Precipitation; SEA-SURFACE TEMPERATURE; EXTREME PRECIPITATION; ATMOSPHERIC RIVERS; WATER MANAGEMENT; FUTURE CHANGES; HYSPLIT MODEL; SIMULATIONS; MOISTURE; RAINFALL; DAM;
D O I
10.1002/2017WR021094
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
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?
引用
收藏
页码:9600 / 9622
页数:23
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