气候变化领域集成服务门户(CCPortal): Euro-Atlantic weather Regimes in the PRIMAVERA coupled climate simulations: impact of resolution and mean state biases on model performance

CCPortal

DOI	10.1007/s00382-020-05271-w
	Euro-Atlantic weather Regimes in the PRIMAVERA coupled climate simulations: impact of resolution and mean state biases on model performance
	Fabiano F.; Christensen H.M.; Strommen K.; Athanasiadis P.; Baker A.; Schiemann R.; Corti S.
发表日期	2020
ISSN	0930-7575
起始页码	5031
结束页码	5048
卷号	54
英文摘要	Recently, much attention has been devoted to better understand the internal modes of variability of the climate system. This is particularly important in mid-latitude regions like the North-Atlantic, which is characterized by a large natural variability and is intrinsically difficult to predict. A suitable framework for studying the modes of variability of the atmospheric circulation is to look for recurrent patterns, commonly referred to as Weather Regimes. Each regime is characterized by a specific large-scale atmospheric circulation pattern, thus influencing regional weather and extremes over Europe. The focus of the present paper is the study of the Euro-Atlantic wintertime Weather Regimes in the climate models participating to the PRIMAVERA project. We analyse here the set of coupled historical simulations (hist-1950), which have been performed both at standard and increased resolution, following the HighresMIP protocol. The models’ performance in reproducing the observed Weather Regimes is assessed in terms of different metrics, focussing on systematic biases and on the impact of resolution. We also analyse the connection of the Weather Regimes with the Jet Stream latitude and blocking frequency over the North-Atlantic sector. We find that—for most models—the regime patterns are better represented in the higher resolution version, for all regimes but the NAO-. On the other side, no clear impact of resolution is seen on the regime frequency of occurrence and persistence. Also, for most models, the regimes tend to be more tightly clustered in the increased resolution simulations, more closely resembling the observed ones. However, the horizontal resolution is not the only factor determining the model performance, and we find some evidence that biases in the SSTs and mean geopotential field might also play a role. © 2020, The Author(s).
英文关键词	Atmospheric dynamics; Climate models; HighresMIP; Mid-latitudes; Modes of variability; North Atlantic; Weather regimes
语种	英语
scopus关键词	atmospheric circulation; atmospheric dynamics; climate modeling; CMIP; midlatitude environment; resolution; weather; Atlantic Ocean; Atlantic Ocean (North); Europe
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/145433
作者单位	Institute of Atmospheric Sciences and Climate (ISAC)—CNR, Bologna, Italy; University of Oxford, Oxford, United Kingdom; Centro Euro-Mediterraneo sui Cambiamenti Climatici (CMCC), Bologna, Italy; University of Reading, Reading, United Kingdom
推荐引用方式 GB/T 7714	Fabiano F.,Christensen H.M.,Strommen K.,et al. Euro-Atlantic weather Regimes in the PRIMAVERA coupled climate simulations: impact of resolution and mean state biases on model performance[J],2020,54.
APA	Fabiano F..,Christensen H.M..,Strommen K..,Athanasiadis P..,Baker A..,...&Corti S..(2020).Euro-Atlantic weather Regimes in the PRIMAVERA coupled climate simulations: impact of resolution and mean state biases on model performance.Climate Dynamics,54.
MLA	Fabiano F.,et al."Euro-Atlantic weather Regimes in the PRIMAVERA coupled climate simulations: impact of resolution and mean state biases on model performance".Climate Dynamics 54(2020).