气候变化领域集成服务门户(CCPortal): Seasonal representation of extreme precipitation indices over the United States in CMIP6 present-day simulations

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DOI	10.1088/1748-9326/ab92c1
	Seasonal representation of extreme precipitation indices over the United States in CMIP6 present-day simulations
	Akinsanola A.; Akinsanola@uga.edu; Kooperman K.; Pendergrass P.; Hannah H.; Reed R.
发表日期	2020
ISSN	17489318
卷号	15 期号:9
英文摘要	Realistically representing the present-day characteristics of extreme precipitation has been a challenge for global climate models, which is due in part to deficiencies in model resolution and physics, but is also due to a lack of consistency in gridded observations. In this study, we use three observation datasets, including gridded rain gauge and satellite data, to assess historical simulations from sixteen Coupled Model Intercomparison Project Phase 6 (CMIP6) models. We separately evaluate summer and winter precipitation over the United States (US) with a comprehensive set of extreme precipitation indices, including an assessment of precipitation frequency, intensity and spatial structure. The observations exhibit significant differences in their estimates of area-average intensity distributions and spatial patterns of the mean and extremes of precipitation over the US. In general, the CMIP6 multi-model mean performs better than most individual models at capturing daily precipitation distributions and extreme precipitation indices, particularly in comparison to gauge-based data. Also, the representation of the extreme precipitation indices by the CMIP6 models is better in the summer than winter. Although the 'standard' horizontal-resolution can vary significantly across CMIP6 models, from ∼0.7 to ∼2.8, we find that resolution is not a good indicator of model performance. Overall, our results highlight common biases in CMIP6 models and demonstrate that no single model is consistently the most reliable across all indices. © 2020 The Author(s). Published by IOP Publishing Ltd.
英文关键词	extreme rainfall; global circulation model; model evaluation; multi-model ensemble mean
语种	英语
scopus关键词	Precipitation (meteorology); Rain gages; Coupled Model Intercomparison Project; Daily precipitations; Extreme precipitation; Historical simulation; Horizontal resolution; Intensity distribution; Precipitation frequency; Winter precipitation; Climate models; agricultural practice; CMIP; extreme event; precipitation (climatology); precipitation assessment; raingauge; satellite data; seasonal variation
来源期刊	Environmental Research Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/153786
作者单位	Department of Geography, University of Georgia, Athens, GA, United States; Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, CO, United States; Atmospheric, Earth and Energy Division, Lawrence Livermore National Laboratory, Livermore, CA, United States; School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY, United States
推荐引用方式 GB/T 7714	Akinsanola A.,Akinsanola@uga.edu,Kooperman K.,et al. Seasonal representation of extreme precipitation indices over the United States in CMIP6 present-day simulations[J],2020,15(9).
APA	Akinsanola A.,Akinsanola@uga.edu,Kooperman K.,Pendergrass P.,Hannah H.,&Reed R..(2020).Seasonal representation of extreme precipitation indices over the United States in CMIP6 present-day simulations.Environmental Research Letters,15(9).
MLA	Akinsanola A.,et al."Seasonal representation of extreme precipitation indices over the United States in CMIP6 present-day simulations".Environmental Research Letters 15.9(2020).