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DOI10.1007/s00382-018-4339-4
Analysis of Alpine precipitation extremes using generalized extreme value theory in convection-resolving climate simulations
Ban N.; Rajczak J.; Schmidli J.; Schär C.
发表日期2020
ISSN0930-7575
起始页码61
结束页码75
卷号55
英文摘要We present an analysis of extreme precipitation events in convection-resolving climate simulations. The simulations are performed with the COSMO-CLM model at 2.2 km resolution across an extended Alpine region and its larger-scale surrounding. Generalized extreme value theory (GEV) is applied to address projections of 5-day, daily and hourly extreme precipitation events in all seasons. Validation using ERA-Interim driven simulations reveals significant improvements with the 2.2 km resolution. In comparison to its driving 12 km model, high resolution improves the simulation of precipitation on most investigated timescales and seasons. The climate change signal is analyzed in 10-year long control and scenario simulations (1991–2000 and 2081–2090) driven by a CMIP5 coupled climate model (MPI-ESM-LR) under an RCP8.5 greenhouse gas scenario. Analysis shows negligible differences between the two resolutions for winter precipitation on all time scales, while in the other seasons the 2.2 km model shows smaller changes in extreme hourly precipitation, and yields narrower uncertainty estimates. Changes in extreme summer precipitation qualitatively scale with the Clausius–Clapeyron rate, i.e., 6–7% per degree warming, and are consistent with previous percentile based analysis. In winter, changes exceed the Clausius–Clapeyron rate. Some interpretations of this result are provided. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词Clausius–Clapeyron scaling; Convection-resolving model; Extreme precipitation
语种英语
scopus关键词alpine environment; atmospheric convection; climate modeling; data interpretation; extreme event; model validation; precipitation (climatology); regional climate
来源期刊Climate Dynamics
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/145420
作者单位Institute for Atmospheric and Climate Science, ETH Zürich, Universitätstrasse 16, Zurich, 8092, Switzerland; Institute of Atmospheric and Environmental Sciences, Goethe University, Altenhöferallee 1, Frankfurt am Main, 60438, Germany
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Ban N.,Rajczak J.,Schmidli J.,et al. Analysis of Alpine precipitation extremes using generalized extreme value theory in convection-resolving climate simulations[J],2020,55.
APA Ban N.,Rajczak J.,Schmidli J.,&Schär C..(2020).Analysis of Alpine precipitation extremes using generalized extreme value theory in convection-resolving climate simulations.Climate Dynamics,55.
MLA Ban N.,et al."Analysis of Alpine precipitation extremes using generalized extreme value theory in convection-resolving climate simulations".Climate Dynamics 55(2020).
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