GSTDTAP  > 气候变化
DOI10.1007/s00382-017-4016-z
The impacts of oceanic deep temperature perturbations in the North Atlantic on decadal climate variability and predictability
Germe, Agathe1; Sevellec, Florian2; Mignot, Juliette3; Fedorov, Alexey4; Nguyen, Sebastien3; Swingedouw, Didier5
2018-09-01
发表期刊CLIMATE DYNAMICS
ISSN0930-7575
EISSN1432-0894
出版年2018
卷号51页码:2341-2357
文章类型Article
语种英语
国家England; France; USA
英文摘要

Decadal climate predictability in the North Atlantic is largely related to ocean low frequency variability, whose sensitivity to initial conditions is not very well understood. Recently, three-dimensional oceanic temperature anomalies optimally perturbing the North Atlantic Mean Temperature (NAMT) have been computed via an optimization procedure using a linear adjoint to a realistic ocean general circulation model. The spatial pattern of the identified perturbations, localized in the North Atlantic, has the largest magnitude between 1000 and 4000 m depth. In the present study, the impacts of these perturbations on NAMT, on the Atlantic meridional overturning circulation (AMOC), and on climate in general are investigated in a global coupled model that uses the same ocean model as was used to compute the three-dimensional optimal perturbations. In the coupled model, these perturbations induce AMOC and NAMT anomalies peaking after 5 and 10 years, respectively, generally consistent with the ocean-only linear predictions. To further understand their impact, their magnitude was varied in a broad range. For initial perturbations with a magnitude comparable to the internal variability of the coupled model, the model response exhibits a strong signature in sea surface temperature and precipitation over North America and the Sahel region. The existence and impacts of these ocean perturbations have important implications for decadal prediction: they can be seen either as a source of predictability or uncertainty, depending on whether the current observing system can detect them or not. In fact, comparing the magnitude of the imposed perturbations with the uncertainty of available ocean observations such as Argo data or ocean state estimates suggests that only the largest perturbations used in this study could be detectable. This highlights the importance for decadal climate prediction of accurate ocean density initialisation in the North Atlantic at intermediate and greater depths.


英文关键词Decadal climate predictability Initial condition uncertainties Linear optimal perturbations North Atlantic variability Atlantic meridional overturning circulation IPSL-CM5A
领域气候变化
收录类别SCI-E
WOS记录号WOS:000442433200042
WOS关键词MERIDIONAL OVERTURNING CIRCULATION ; SURFACE SALINITY PERTURBATIONS ; THERMOHALINE CIRCULATION ; MULTIDECADAL VARIABILITY ; SEA-ICE ; MODEL ; PREDICTION ; ENSEMBLE ; INITIALIZATION ; COMPONENT
WOS类目Meteorology & Atmospheric Sciences
WOS研究方向Meteorology & Atmospheric Sciences
引用统计
文献类型期刊论文
条目标识符http://119.78.100.173/C666/handle/2XK7JSWQ/35929
专题气候变化
作者单位1.Natl Oceanog Ctr, Water Front Campus,European Way, Southampton SO14 3ZH, Hants, England;
2.Univ Southampton, Ocean & Earth Sci, Southampton, Hants, England;
3.UPMC Univ Paris 06, Sorbonne Univ, LOCEAN Lab, IPSL,CNRS,IRD,MNHN, 4 Pl Jussieu, F-75005 Paris, France;
4.Yale Univ, Dept Geol & Geophys, New Haven, CT USA;
5.Univ Bordeaux, EPOC, CNRS, UMR 5805,EPOC,OASU, Alle Geoffroy St Hilaire, F-33615 Pessac, France
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GB/T 7714
Germe, Agathe,Sevellec, Florian,Mignot, Juliette,et al. The impacts of oceanic deep temperature perturbations in the North Atlantic on decadal climate variability and predictability[J]. CLIMATE DYNAMICS,2018,51:2341-2357.
APA Germe, Agathe,Sevellec, Florian,Mignot, Juliette,Fedorov, Alexey,Nguyen, Sebastien,&Swingedouw, Didier.(2018).The impacts of oceanic deep temperature perturbations in the North Atlantic on decadal climate variability and predictability.CLIMATE DYNAMICS,51,2341-2357.
MLA Germe, Agathe,et al."The impacts of oceanic deep temperature perturbations in the North Atlantic on decadal climate variability and predictability".CLIMATE DYNAMICS 51(2018):2341-2357.
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