气候变化领域集成服务门户(CCPortal): Evaluation of the tail of the probability distribution of daily and subdaily precipitation in CMIP6 models

CCPortal

DOI	10.1175/JCLI-D-20-0182.1
	Evaluation of the tail of the probability distribution of daily and subdaily precipitation in CMIP6 models
	Norris J.; Hall A.; Neelin J.D.; Thackeray C.W.; Chen D.
发表日期	2021
ISSN	08948755
起始页码	2701
结束页码	2721
卷号	34 期号:7
英文摘要	Daily and subdaily precipitation extremes in historical phase 6 of the Coupled Model Intercomparison Project (CMIP6) simulations are evaluated against satellite-based observational estimates. Extremes are defined as the precipitation amount exceeded every x years, ranging from 0.01 to 10, encompassing the rarest events that are detectable in the observational record without noisy results. With increasing temporal resolution there is an increased discrepancy between models and observations: for daily extremes, the multimodel median underestimates the highest percentiles by about a third, and for 3-hourly extremes by about 75% in the tropics. The novelty of the current study is that, to understand the model spread, we evaluate the 3D structure of the atmosphere when extremes occur. In midlatitudes, where extremes are simulated predominantly explicitly, the intuitive relationship exists whereby higher-resolution models produce larger extremes (r = -0.49), via greater vertical velocity. In the tropics, the convective fraction (the fraction of precipitation simulated directly from the convective scheme) is more relevant. For models below 60% convective fraction, precipitation amount decreases with convective fraction (r = -0.63), but above 75% convective fraction, this relationship breaks down. In the lower-convective-fraction models, there is more moisture in the lower troposphere, closer to saturation. In the higher-convective-fraction models, there is deeper convection and higher cloud tops, which appears to be more physical. Thus, the low-convective models are mostly closer to the observations of extreme precipitation in the tropics, but likely for the wrong reasons. These intermodel differences in the environment in which extremes are simulated hold clues into how parameterizations could be modified in general circulation models to produce more credible twenty-first-century projections. © 2021 American Meteorological Society.
英文关键词	Atmosphere; Convection; Extreme events; General circulation models; Precipitation; Vertical motion
语种	英语
scopus关键词	Precipitation (meteorology); Tropics; Coupled Model Intercomparison Project; Extreme precipitation; General circulation model; Higher resolution; Lower troposphere; Precipitation extremes; Temporal resolution; Vertical velocity; Probability distributions; atmospheric convection; CMIP; extreme event; general circulation model; parameterization; precipitation (climatology); probability; vertical distribution
来源期刊	Journal of Climate
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178593
作者单位	Atmospheric and Oceanic Sciences, University of California Los Angeles, Los Angeles, CA, United States
推荐引用方式 GB/T 7714	Norris J.,Hall A.,Neelin J.D.,et al. Evaluation of the tail of the probability distribution of daily and subdaily precipitation in CMIP6 models[J],2021,34(7).
APA	Norris J.,Hall A.,Neelin J.D.,Thackeray C.W.,&Chen D..(2021).Evaluation of the tail of the probability distribution of daily and subdaily precipitation in CMIP6 models.Journal of Climate,34(7).
MLA	Norris J.,et al."Evaluation of the tail of the probability distribution of daily and subdaily precipitation in CMIP6 models".Journal of Climate 34.7(2021).