A Modeling Strategy for the Investigation of the Effect of Mesoscale SST Variability on Atmospheric Dynamics

被引：17

作者：

Jia, Yinglai ^{[1
]}

Chang, Ping ^{[2
,3
]}

Szunyogh, Istvan ^{[3
]}

Saravanan, R. ^{[3
]}

Bacmeister, Julio T. ^{[4
]}

机构：

[1] Ocean Univ China, Phys Oceanog Lab, Qingdao, Shandong, Peoples R China

[2] Texas A&M Univ, Dept Oceanog, College Stn, TX 77843 USA

[3] Texas A&M Univ, Dept Atmospher Sci, College Stn, TX 77843 USA

[4] Natl Ctr Atmospher Res, Climate & Global Dynam Div, POB 3000, Boulder, CO 80307 USA

来源：

GEOPHYSICAL RESEARCH LETTERS | 2019年 / 46卷 / 07期

基金：

国家重点研发计划;

关键词：

mesoscale sea surface temperature feedback to the atmosphere; effects on the atmospheric circulation; moisture transport between the ocean and atmosphere; OCEAN; ATLANTIC; EDDIES;

D O I：

10.1029/2019GL081960

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

An efficient modeling strategy is proposed for the investigation of the effect of the sea surface temperature (SST) mesoscale variability on atmospheric dynamics. Two ensembles of numerical simulations are generated with a high-resolution atmospheric global circulation model coupled to a slab ocean model. The two ensembles differ only in the treatment of the SST data used for the specification of the SST initial conditions and the estimation of the oceanic heat transport: one of the ensembles is generated by retaining, while the other by filtering, the mesoscale SST variability. The effect of mesoscale SST variability is assessed by comparing the two ensembles. The strategy is illustrated by simulation experiments with the Community Earth System Model, with a focus on the processes of the NH midlatitudes. The results suggest that ocean mesoscale variability has a significant effect on the jet streams, large-scale flow, and midlatitude storm tracks.

引用

页码：3982 / 3989

页数：8

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