A Historical Perspective of the La Niña Event in 2020/2021

Xiaofan Li1,2, Zeng‐Zhen Hu3, Yu‐Heng Tseng4, Yunyun Liu5, Liang Ping6
1Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province, School of Earth Sciences, Zhejiang University, Hangzhou, China
2Southern Marine Science and Engineering Guangdong Laboratory, Zhuhai, China
3Climate Prediction Center, NCEP/NWS/NOAA, College Park, MD, USA
4Institute of Oceanography, National Taiwan University, Taipei, Taiwan
5Laboratory of Climate Studies, National Climate Center, China Meteorological Administration, Beijing, China
6Key Laboratory of Cities’ Mitigation and Adaptation to Climate Change in Shanghai, Shanghai Regional Climate Center, China Meteorological Administration, Shanghai, China

Tóm tắt

Abstract

El Niño–Southern Oscillation is the strongest interannual variability in the tropical oceans and the major source of global climate predictability. In this work, we examine the evolution of oceanic and atmospheric anomalies in the tropical Pacific during 2020/2021 La Niña and compare it with the historical strong La Niña events since 1982, identify the contributions of different time scale components, and assess the predictions and the impact on extra‐tropical climate. 2020/2021 La Niña emerged in August 2020 and dissipated in May 2021. 2020/2021 La Niña was uniquely preceded by a borderline El Niño instead of an El Niño and a weak equatorial‐heat discharge process. That resulted in the weakest event among the strong La Niñas since 1982, although there were strong upwelling Kelvin wave activities. Moreover, compared with other strong La Niña events, the surface easterly wind anomalies and the warm pool extended further eastward in 2020/2021 La Niña, linking to a relatively weaker dipole‐like pattern of the subsurface ocean temperature anomalies. The strength of all the strong La Niña events is determined by the in‐phase amplification of all time scale variations. Their decay in the boreal spring and early summer is mainly controlled by the intra seasonal‐inter seasonal variation. 2020/2021 La Niña was successfully predicted, however, the North American climate anomalies did not match the typical La Niña response, leading to low prediction skill in the extra‐tropics during its mature phase.

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Tài liệu tham khảo

10.1002/9781119548164.ch7

Behringer D. W., 2007, Preprints, 11th Symposium on Integrated Observing and similation systems for atmosphere, Oceans, and land surface

10.1175/1520-0493(1969)097<0163:atftep>2.3.co;2

10.1038/ngeo2399

10.1175/JCLI-D-14-00134.1

10.1175/jcli-d-17-0329.1

10.1038/s41598-020-57853-7

10.1175/2009JPO4263.1

10.1029/2000gl012201

10.1007/s00382-017-3575-3

10.1175/1520-0442(1997)010<3131:wweitt>2.0.co;2

10.1175/1520-0442(1997)010<1769:enolna>2.0.co;2

10.1073/pnas.1514182113

10.1175/JCLI-D-19-0316.1

10.1007/s00382-016-3498-4

10.1007/s00382-019-05023-5

10.1007/s00382-011-1224-9

10.1007/s00382-013-1917-3

10.1038/s41598-017-04566-z

10.1175/JCLI-D-18-0285.1

10.1175/2021BAMSStateoftheClimate.1

10.1002/2016GL070888

10.1175/JTECH-D-13-00034.1

10.1175/JCLI-D-16-0642.1

10.1098/rspa.1998.0193

10.1029/2007RG000228

10.2151/jmsj.2020-064

10.1175/1520-0469(1997)054<0811:aeorpf>2.0.co;2

10.1175/1520-0469(1997)054<0830:aeorpf>2.0.co;2

10.5194/gmd-12-1087-2019

10.1175/BAMS-83-11-1631

10.1029/2002GL015924

10.1007/s00382-013-1721-0

10.1029/97JC03413

10.1175/2021BAMSStateoftheClimate.1

10.1007/s00382-012-1331-2

10.1175/JCLI-D-18-0209.1

10.1029/2020JD033306

10.1175/1520-0477-77.6.1274

10.1002/qj.2396

10.1029/2012GL051826

McPhaden M. J., 2021

10.1029/2009GL038774

10.1175/1520-0442(2000)013<3551:oowwvc>2.0.co;2

National Research Council, 2010, Assessment of intraseasonal to interannual climate prediction and predictability, 192

10.1002/2017GL075034

10.1175/2011JCLI3999.1

10.1175/2007WAF2007042.1

10.1175/WAF-D-12-00057.1

10.1126/science.274.5292.1486

10.1175/1520-0442(2002)015<1609:aiisas>2.0.co;2

10.1175/1520-0493(1987)115<1606:garspp>2.0.co;2

10.1175/2010BAMS3001.1

10.1175/JCLI-D-12-00823.1

10.1029/2005GL022511

10.1038/s41586-018-0252-6

10.1007/s00382-016-3188-2

10.1088/1748-9326/abe9ed

10.1175/jcli-d-20-0619.1

10.1175/jcli-d-18-0681.1

10.1142/S1793536909000047

10.1175/1520-0477(1997)078<2539:gpayma>2.0.co;2

10.1175/JCLI-D-12-00600.1

10.1007/s00382-010-0954-4

10.1007/s00382-016-3376-0

10.1029/2018gl077664

10.1038/srep01108

10.1029/2009GL038672

10.1038/srep19677