Intermodel Diversity of Simulated Long-term Changes in the Austral Winter Southern Annular Mode:Role of the Southern Ocean Dipole

作     者：Fei ZHENG Jianping LI Shuailei YAO Fei ZHENG;Jianping LI;Shuailei YAO

作者机构：State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid DynamicsInstitute of Atmospheric PhysicsChinese Academy of SciencesBeijing 10029China Frontiers Science Center for Deep Ocean Multispheres and Earth System(FDOMES)/Key Laboratory of Physical Oceanography/Institute for Advanced Ocean StudiesOcean University of ChinaQingdao 266100China Laboratory for Ocean Dynamics and ClimatePilot Qingdao National Laboratory for Marine Science 

出 版 物：《Advances in Atmospheric Sciences》 (大气科学进展（英文版）)

年 卷 期：2021年第38卷第3期

页      面：375-386页

核心收录：

学科分类：07[理学] 070601[理学-气象学] 0706[理学-大气科学] 

基　　金：This work was jointly supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDA19070402) a National Key Research and Development Project(Grant No.2018YFA0606404) the National Natural Science Foundation of China(Grant Nos.41790474 and 41775090) 

主　　题：Southern Annular Mode Southern Ocean Dipole intermodel spread air−sea interactions 

摘      要：The Southern Annular Mode(SAM)plays an important role in regulating Southern Hemisphere extratropical ***-of-the-art models exhibit intermodel spread in simulating long-term changes in the *** from Atmospheric Model Intercomparison Project(AMIP)experiments from 28 models archived in CMIP5 show that the intermodel spread in the linear trend in the austral winter(June−July−August)SAM is significant,with an intermodel standard deviation of 0.28(10 yr)−1,larger than the multimodel ensemble mean of 0.18(10 yr)−*** study explores potential factors underlying the model difference from the aspect of extratropical sea surface temperature(SST).Extratropical SST anomalies related to the SAM exhibit a dipole-like structure between middle and high latitudes,referred to as the Southern Ocean Dipole(SOD).The role of SOD-like SST anomalies in influencing the SAM is found in the AMIP *** performance in simulating the SAM trend is linked with model skill in reflecting the SOD−SAM *** with stronger linkage between the SOD and the SAM tend to simulate a stronger SAM *** explained variance is about 40%in the AMIP *** results suggest improved simulation of the SOD−SAM relationship may help reproduce long-term changes in the SAM.