气候变化领域集成服务门户(CCPortal): Extreme daily precipitation in southern South America: statistical characterization and circulation types using observational datasets and regional climate models

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DOI	10.1007/s00382-021-05748-2
	Extreme daily precipitation in southern South America: statistical characterization and circulation types using observational datasets and regional climate models
	Olmo M.E.; Bettolli M.L.
发表日期	2021
ISSN	0930-7575
起始页码	361
结束页码	377
英文摘要	The main features of daily extreme precipitation and circulation types in southern South America (SSA) were evaluated and compared in both multiple observational datasets (rain gauges, CHIRPS, CPC and MSWEP) and simulations from four regional climate models (RCMs) driven by ERA-Interim during 1980–2010. The inter-comparison of extreme events, characterised in terms of their intensity, frequency and spatial coverage, varied across SSA showing large differences among observational datasets and RCMs and reflecting the current observational uncertainty when evaluating precipitation extremes at a daily scale. The spread between observational datasets was smaller than for the RCMs. Most of the RCMs successfully captured the spatial pattern of extreme precipitation across SSA, although RCA4 (REMO) usually underestimated (overestimated) precipitation intensities, particularly the maximum amounts in southeastern South America (SESA), where the extremes are remarkable. The synoptic circulation was described by a classification of circulation types (CTs) using Self-Organizing Maps (SOM). Specific CTs were found to significantly enhance the occurrence of extreme precipitation events in sectorized areas of SESA. The RCMs adequately reproduced the SOM node frequencies, although they tended to simplify the predominant CTs into a more reduced number of configurations. They appropriately represented the extreme precipitation frequencies conditioned by each CT, exhibiting some limitations in the location and intensity of the resulting precipitation systems. These sorts of evaluations contribute to a better understanding of the physical mechanisms responsible for extreme precipitation and of their future projections in a climate change scenario. © 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	Circulation patterns; Extreme rainfall; Observational uncertainty; Regional climate modeling; Self-organizing maps; Southeastern South America
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/183509
作者单位	Department of Atmospheric and Ocean Sciences, Faculty of Exact and Natural Sciences, University of Buenos Aires (DCAO-FCEN-UBA), Buenos Aires, Argentina; National Council of Scientific and Technical Research (CONICET), Buenos Aires, Argentina; Unité Mixte Internationale (UMI-IFAECI/CNRS-CONICET-UBA), Institut Franco‐Argentin d’Estudes sur le Climat et ses Impacts, Buenos Aires, Argentina
推荐引用方式 GB/T 7714	Olmo M.E.,Bettolli M.L.. Extreme daily precipitation in southern South America: statistical characterization and circulation types using observational datasets and regional climate models[J],2021.
APA	Olmo M.E.,&Bettolli M.L..(2021).Extreme daily precipitation in southern South America: statistical characterization and circulation types using observational datasets and regional climate models.Climate Dynamics.
MLA	Olmo M.E.,et al."Extreme daily precipitation in southern South America: statistical characterization and circulation types using observational datasets and regional climate models".Climate Dynamics (2021).