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Evaluation of intraseasonal wind rectification on recent Indian Ocean dipole events using LICOM
Zhao, Xia1,2,3,4; Yuan, Dongliang1,2,3,4,5,6
2021-08-28
发表期刊CLIMATE DYNAMICS
ISSN0930-7575
页码18
通讯作者Yuan, Dongliang(dyuan@qdio.ac.cn)
摘要The effects of intraseasonal wind rectification on the interannual variability in Indian Ocean dipole (IOD) events during 1996-2020 are estimated using an ocean general circulation model forced with daily wind stress. The results of the experiments with and without the intraseasonal winds suggest that rectified interannual sea surface temperature anomalies (SSTAs) and sea level anomalies (SLAs) are much smaller than those observed and simulated total interannual anomalies, suggesting that IOD is forced primarily by low-frequency winds. The rectified interannual SSTAs play a secondary role in the mature and terminating phases of the 2019 positive IOD event, despite the strong intraseasonal easterly wind events during the fall-winter of 2019. From May to mid-July 2016, a series of intraseasonal westerly wind events rectify the negative interannual SSTAs in the tropical western Indian Ocean, which reinforce the onset of the 2016 negative event through ocean-atmosphere coupling, but with little generated in the southeastern Indian Ocean directly. Analyses demonstrate that intraseasonal rectification is induced primarily through nonlinear zonal and vertical advection in the 2016 and 2019 extreme IOD events. A new type of intraseasonal rectification dynamics is identified near the eastern boundary owing to the reflection of oceanic equatorial waves at the eastern boundary resulting in the deceleration of zonal currents, which rectifies low-frequency downwelling Kelvin waves through the zonal advection term during the spring-summer of 2016. However, the rectified anomalies due to the eastern boundary reflection are much smaller than the total interannual anomalies, suggesting nonsignificant effects of the intraseasonal winds on IOD.
关键词Indian Ocean dipole Intraseasonal wind stress Low-frequency wind anomalies Kelvin waves Oceanic nonlinear dynamics
DOI10.1007/s00382-021-05943-1
收录类别SCI
语种英语
资助项目National Key Research and Development Project[2019YFA0606702] ; National Key Research and Development Project[2020YFA0608800] ; National Key Research and Development Project[2019YFC1509102] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB42010000] ; National Natural Science Foundation of China[42175027] ; National Natural Science Foundation of China[41720104008] ; National Natural Science Foundation of China[91858204] ; Shandong Natural Science Foundation Project[U1606402] ; Shandong Natural Science Foundation Project[ZR2019ZD12] ; QMSNL[2018SDKJ0104-02] ; State Key Laboratory of Tropical Oceanography, SCSIO, CAS[LTO1803] ; Kunpeng Outstanding Scholar program of the Ministry of Natural Resources of China
WOS研究方向Meteorology & Atmospheric Sciences
WOS类目Meteorology & Atmospheric Sciences
WOS记录号WOS:000690722700001
出版者SPRINGER
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.qdio.ac.cn/handle/337002/176341
专题海洋环流与波动重点实验室
通讯作者Yuan, Dongliang
作者单位1.Chinese Acad Sci, Inst Oceanol, CAS Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China
2.Chinese Acad Sci, Inst Oceanol, Ctr Ocean Megasci, Qingdao, Peoples R China
3.Minist Nat Resources, Key Lab Marine Sci & Numer Modeling, Inst Oceanog 1, Qingdao, Peoples R China
4.Pilot Natl Lab Marine Sci & Technol Qingdao, Qingdao, Peoples R China
5.Shandong Key Lab Marine Sci & Numer Modeling, Qingdao, Peoples R China
6.Univ Chinese Acad Sci, Beijing, Peoples R China
第一作者单位中国科学院海洋研究所;  中国科学院海洋大科学研究中心
通讯作者单位中国科学院海洋研究所;  中国科学院海洋大科学研究中心
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Zhao, Xia,Yuan, Dongliang. Evaluation of intraseasonal wind rectification on recent Indian Ocean dipole events using LICOM[J]. CLIMATE DYNAMICS,2021:18.
APA Zhao, Xia,&Yuan, Dongliang.(2021).Evaluation of intraseasonal wind rectification on recent Indian Ocean dipole events using LICOM.CLIMATE DYNAMICS,18.
MLA Zhao, Xia,et al."Evaluation of intraseasonal wind rectification on recent Indian Ocean dipole events using LICOM".CLIMATE DYNAMICS (2021):18.
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