气候变化领域集成服务门户(CCPortal): Quantifying the internal variability in multi-decadal trends of spring surface air temperature over mid-to-high latitudes of Eurasia

CCPortal

DOI	10.1007/s00382-020-05365-5
	Quantifying the internal variability in multi-decadal trends of spring surface air temperature over mid-to-high latitudes of Eurasia
	Ding Z.; Wu R.
发表日期	2020
ISSN	0930-7575
起始页码	2013
结束页码	2030
卷号	55
英文摘要	This study investigates the influences of internal climate variability (ICV) on Eurasian spring (March–May) surface air temperature (SAT) trends based on a 30-member ensemble of the Community Earth System Model version 1 (CESM1) from 1979 to 2014. The SAT trends over the mid-high latitude Eurasia vary considerably among individual simulations, indicating a large impact of ICV on SAT trends at regional scales. The leading pattern of internally generated SAT trend variability over Eurasia among the 30 SAT trends displays same sign distribution over the mid-high latitudes of Eurasia. This pattern is associated with the Northern Hemisphere annular mode (NAM) that accounts for about 1/3 of total variance of the spring sea level pressure (SLP) trends. The second pattern of internally generated SAT trend variability features a dipole structure, accompanied by prominent circulation changes over the North Atlantic and Europe. Internal dynamics account for approximately 40–70% of the observed warming over the central Eurasia and the Russian Far East. A dynamical adjustment methodology is employed to remove the effects of internal atmospheric circulation variability. Dynamical adjustment greatly reduces the spread of SAT trends within the ensemble and brings both the simulated and observed trends closer to the ensemble mean. Changes in the Barents–Kara Sea ice and Eurasian snow cover contribute to the remaining spread in SAT trends over the north coast of Russia and in the region north of the Caspian Sea, respectively. Both dynamics and thermodynamics contribute to the Barents–Kara Sea ice and Eurasian snow cover trends. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	Coupled climate model; Dynamical adjustment; Eurasian spring surface air temperature; Internal climate variability; Sea ice and snow impacts
语种	英语
scopus关键词	air temperature; annual variation; atmospheric circulation; computer simulation; decadal variation; midlatitude environment; surface temperature; trend analysis; Arctic Ocean; Barents Sea; Eurasia; Kara Sea
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/145333
作者单位	Center for Monsoon System Research, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China; School of Earth Sciences, Zhejiang University, Hangzhou, 310027, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China
推荐引用方式 GB/T 7714	Ding Z.,Wu R.. Quantifying the internal variability in multi-decadal trends of spring surface air temperature over mid-to-high latitudes of Eurasia[J],2020,55.
APA	Ding Z.,&Wu R..(2020).Quantifying the internal variability in multi-decadal trends of spring surface air temperature over mid-to-high latitudes of Eurasia.Climate Dynamics,55.
MLA	Ding Z.,et al."Quantifying the internal variability in multi-decadal trends of spring surface air temperature over mid-to-high latitudes of Eurasia".Climate Dynamics 55(2020).