IOCAS-IR  > 海洋环流与波动重点实验室
Diversity of strong negative Indian Ocean dipole events since 1980: characteristics and causes
Huang, Ke1,2,3; Huang, Bohua4,5; Wang, Dongxiao6,7; Zhao, Xia8; Zhang, Lianyi1; Liang, Zhanlin1; Wu, Ying9; Yang, Lei1; Wang, Weiqiang1
2023-12-13
Source PublicationCLIMATE DYNAMICS
ISSN0930-7575
Pages24
Corresponding AuthorHuang, Ke(kehuang@scsio.ac.cn) ; Wang, Dongxiao(dxwang@mail.sysu.edu.cn)
AbstractIn this study, the diverse features of four strongest negative Indian Ocean dipole (nIOD) (1996, 1998, 2010 and 2016) since 1980 are quantitatively examined. The contributions of air-sea feedback to La Nina-related sea surface temperature (SST) anomalies (SSTA) are identified and their association with surface winds as well as different time-scale variations is compared. The growth of SSTA in Dipole Mode Index (DMI) indicates one event (1996) being a dipolar pattern and the other three (1998, 2010 and 2016) being monopolar patterns during their mature phases. During 1996 case, SSTA in west (IOD-W) and east (IOD-E) poles are both significant and comparable though with different physical origins. Effective Bjerknes-feedback dominated in accumulating warm-water in IOD-E and Madden-Julian oscillation (MJO) activity constructively enhances this IOD-E warming, while the heat loss induced by the wind-evaporation-SST (WES) and cloud-radiation-SST feedback lead to a fast and profound cooling in IOD-W. Developing on a non-La Nina background, the IOD-E warming is initiated with positive heat flux anomalies that lead the linear temperature advection by 1-month(s), indicating this dipole pattern as a local independent event that possibly triggered by interior-basin disturbances in the Indian Ocean (IO). Three monopolar cases all exhibited above 3.0 standard deviations warm peaks over IOD-E but with extremely weak signals in IOD-W. Though the Bjerknes feedback and heat-flux play crucial roles over the three monopolar cases with the strongest in 2016, the initial zonal winds are first established through atmospheric teleconnection without the leading involvement of heat flux. The concurrent extreme La Nina in 1998 and 2010 triggered strong westerly wind anomalies over the IO and favored the rapid growth of these monopolar SSTA, but La Nina influence stronger in 2010. The damping effect of nonlinear advection and the triggering effect of long-stalled MJO convective anomalies played important roles in the 1998 and 2016 monopolar cases.
KeywordIndian Ocean dipole Air-sea interaction Inter-annual variability Bjerknes feedback La Nina
DOI10.1007/s00382-023-07008-x
Indexed BySCI
Language英语
Funding ProjectSecond Tibetan Plateau Scientific Expedition and Research (STEP) program[42230402] ; National Natural Science Foundation of China[92158204] ; National Natural Science Foundation of China[41976024] ; National Natural Science Foundation of China[42175027] ; National Natural Science Foundation of China[42176026] ; National Natural Science Foundation of China[41906147] ; National Natural Science Foundation of China[42276022] ; National Natural Science Foundation of China[42076201] ; National Natural Science Foundation of China[42049910] ; National Natural Science Foundation of China[42106021] ; National Natural Science Foundation of China[91958202] ; National Natural Science Foundation of China[LTOZZ2101] ; Independent Research Project Program of State Key Laboratory of Tropical Oceanography[QNHX2203] ; Open fund of State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, MNR[KLMPG-22-02] ; Fund of Fujian Provincial Key Laboratory of Marine Physical and Geological Processes[2022A1515010945] ; GuangDong Basic and Applied Basic Research Foundation[SCSIO2023QY01] ; Special fund of South China Sea Institute of Oceanology of the Chinese Academy of Sciences[SCSIO2023HC07] ; Special fund of South China Sea Institute of Oceanology of the Chinese Academy of Sciences[2019QZKK0102-02] ; High-Performance Computing Division ; China-Sri Lanka Joint Centre for Education and Research (CSL-CER), Chinese Academy of Sciences
WOS Research AreaMeteorology & Atmospheric Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:001126297600002
PublisherSPRINGER
WOS KeywordEMPIRICAL MODE DECOMPOSITION ; EQUATORIAL PACIFIC-OCEAN ; SEA-SURFACE TEMPERATURE ; LAYER HEAT-BALANCE ; EL-NINO ; INTERANNUAL VARIABILITY ; PART II ; ENSO ; ASYMMETRY ; IMPACT
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Document Type期刊论文
Identifierhttp://ir.qdio.ac.cn/handle/337002/184189
Collection海洋环流与波动重点实验室
Corresponding AuthorHuang, Ke; Wang, Dongxiao
Affiliation1.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Peoples R China
2.Minist Nat Resources, Inst Oceanog 2, State Key Lab Satellite Ocean Environm Dynam, Hangzhou, Peoples R China
3.Fujian Prov Key Lab Marine Phys & Geol Proc, Xiamen, Peoples R China
4.George Mason Univ, Coll Sci, Ctr Ocean Land Atmosphere Studies, Fairfax, VA USA
5.George Mason Univ, Coll Sci, Dept Atmospher Ocean & Earth Sci, Fairfax, VA USA
6.Sun Yat Sen Univ, Sch Marine Sci, Zhuhai, Peoples R China
7.Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai, Peoples R China
8.Chinese Acad Sci, Inst Oceanol, Key Lab Ocean Circulat & Waves, Qingdao, Peoples R China
9.East China Normal Univ, State Key Lab Estuarine & Coastal Res, Shanghai, Peoples R China
First Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Oceanology, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Huang, Ke,Huang, Bohua,Wang, Dongxiao,et al. Diversity of strong negative Indian Ocean dipole events since 1980: characteristics and causes[J]. CLIMATE DYNAMICS,2023:24.
APA Huang, Ke.,Huang, Bohua.,Wang, Dongxiao.,Zhao, Xia.,Zhang, Lianyi.,...&Wang, Weiqiang.(2023).Diversity of strong negative Indian Ocean dipole events since 1980: characteristics and causes.CLIMATE DYNAMICS,24.
MLA Huang, Ke,et al."Diversity of strong negative Indian Ocean dipole events since 1980: characteristics and causes".CLIMATE DYNAMICS (2023):24.
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