气候变化领域集成服务门户(CCPortal): Disentangling and quantifying contributions of distinct forcing factors to the observed global sea level pressure field

CCPortal

DOI	10.1007/s00382-019-05067-7
	Disentangling and quantifying contributions of distinct forcing factors to the observed global sea level pressure field
	Vaideanu P.; Dima M.; Pirloaga R.; Ionita M.
发表日期	2020
ISSN	0930-7575
起始页码	1453
结束页码	1467
卷号	54
英文摘要	Variations of the global sea level pressure (SLP) field reflect atmospheric and oceanic influences and have a profound influence on temperature, precipitation and the global carbon cycle. The impact of various forcing factors on this field was investigated mainly based on numerical simulations. Alternatively, here we identify and quantify the influences of various forcing factors on observational, reanalysis and simulated SLP fields. By applying canonical correlation analysis (CCA) on the aforementioned data sets, we separated and quantified the impact of increase CO2 concentration, El Niño–Southern Oscillation (ENSO), Atlantic Multidecadal Oscillation (AMO), Arctic Oscillation (AO) and solar forcing on the global SLP field, based on their associations with known footprints on the sea surface temperature (SST). Together, their corresponding SLP spatial structures explain ~ 60% of the observed variance. Whereas the atmospheric CO2 concentration has the most prominent impact on the global SLP field, explaining 28% of variance, ENSO and AO account for 9% each. The solar forcing and AMO explain 7%, respectively 6% of global SLP variance. Similar spatial structures corresponding to the same forcing factors are identified based on the reanalysis SLP data. CCA applied on simulated SLP fields derived from six CMIP5 model simulations captures only the spatial structures of atmospheric CO2 concentration, ENSO, AAO and AO. Such a decomposition of the global pressure field based on a linear combination of coupled SST-SLP pairs provide a reference against which one could validate the performance of general circulation models in simulating the lower atmosphere dynamics. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.
英文关键词	CO2; Internal modes of variability; Ocean temperature; Sea level pressure; Solar influence
语种	英语
scopus关键词	air-sea interaction; Arctic Oscillation; Atlantic Multidecadal Oscillation; atmospheric dynamics; atmospheric general circulation model; carbon dioxide; climate forcing; computer simulation; correlation; El Nino-Southern Oscillation; numerical model; oceanic general circulation model; quantitative analysis; sea level pressure
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/145640
作者单位	Faculty of Physics, University of Bucharest, Bucharest, Romania; Alfred Wegener Institute for Polar and Marine Research, Bremerhaven, Germany; National Institute of Research and Development for Optoelectronics, Măgurele, Romania
推荐引用方式 GB/T 7714	Vaideanu P.,Dima M.,Pirloaga R.,et al. Disentangling and quantifying contributions of distinct forcing factors to the observed global sea level pressure field[J],2020,54.
APA	Vaideanu P.,Dima M.,Pirloaga R.,&Ionita M..(2020).Disentangling and quantifying contributions of distinct forcing factors to the observed global sea level pressure field.Climate Dynamics,54.
MLA	Vaideanu P.,et al."Disentangling and quantifying contributions of distinct forcing factors to the observed global sea level pressure field".Climate Dynamics 54(2020).