气候变化领域集成服务门户(CCPortal): Intercomparison of daily precipitation persistence in multiple global observations and climate models

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DOI	10.1088/1748-9326/ab4169
	Intercomparison of daily precipitation persistence in multiple global observations and climate models
	Moon H.; Gudmundsson L.; Guillod B.P.; Venugopal V.; Seneviratne S.I.
发表日期	2019
ISSN	17489318
卷号	14 期号:10
英文摘要	Daily precipitation persistence is affected by various atmospheric and land processes and provides complementary information to precipitation amount statistics for understanding the precipitation dynamics. In this study, daily precipitation persistence is assessed in an exhaustive ensemble of observation-based daily precipitation datasets and evaluated in global climate model (GCM) simulations for the period of 2001-2013. Daily precipitation time series are first transformed into categorical time series of dry and wet spells with a 1 mm d-1 precipitation threshold. Subsequently, P dd (P ww), defined as the probability of a dry (wet) day to be followed by another dry (wet) day is calculated to represent daily precipitation persistence. The analysis focuses on the long-term mean and interannual variability (IAV) of the two indices. Both multi-observation and multi-model means show higher values of P dd than P ww. GCMs overestimate P ww with a relatively homogeneous spatial bias pattern. They overestimate P dd in the Amazon and Central Africa but underestimate P dd in several regions such as southern Argentina, western North America and the Tibetan Plateau. The IAV of both P dd and P ww is generally underestimated in climate models, but more strongly for P ww. Overall, our results highlight systematic model errors in daily precipitation persistence that are substantially larger than the already considerable spread across observational products. These findings also provide insights on how precipitation persistence biases on a daily time scale relate to well-documented persistence biases at longer time scales in state-of-the-art GCMs. © 2019 The Author(s). Published by IOP Publishing Ltd.
英文关键词	climate models; CMIP5; daily precipitation; precipitation persistence
语种	英语
scopus关键词	Systematic errors; Time series; Daily precipitations; Dry and wet spells; Global climate model; Global observation; Interannual variability; Intercomparisons; Precipitation threshold; Systematic modeling; Climate models; annual variation; climate modeling; global climate; long-term change; precipitation (climatology); Amazonia; Argentina; Central Africa; China; North America; Qinghai-Xizang Plateau
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/154359
作者单位	Institute for Atmospheric and Climate Science, ETH Zurich, Switzerland; Institute for Environmental Decisions, ETH Zurich, Switzerland; Centre for Atmospheric and Oceanic Sciences, Divecha Centre for Climate Change, Indian Institute of Science, Bangalore, India
推荐引用方式 GB/T 7714	Moon H.,Gudmundsson L.,Guillod B.P.,et al. Intercomparison of daily precipitation persistence in multiple global observations and climate models[J],2019,14(10).
APA	Moon H.,Gudmundsson L.,Guillod B.P.,Venugopal V.,&Seneviratne S.I..(2019).Intercomparison of daily precipitation persistence in multiple global observations and climate models.Environmental Research Letters,14(10).
MLA	Moon H.,et al."Intercomparison of daily precipitation persistence in multiple global observations and climate models".Environmental Research Letters 14.10(2019).