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A linkage observed between austral autumn Antarctic oscillation and preceding Southern Ocean SST anomalies

A linkage observed between austral autumn Antarctic oscillation and preceding Southern Ocean SST anomalies
A linkage observed between austral autumn Antarctic oscillation and preceding Southern Ocean SST anomalies

In this study, the authors apply a lagged maximum covariance analysis (MCA) to capture the cross-seasonal coupled patterns between the Southern Ocean sea surface temperature (SOSST) and extratropical 500-hPa geopotential height anomalies in the Southern Hemisphere, from which Niño-3.4 signals and their linear trends are removed to a certain extent. Statistically significant results show that the dominant feature of ocean-atmosphere interaction is likely the effect of atmosphere on SOSST anomalies, with a peak occurring when the atmosphere leads the SOSST by 1 month. However, the most eye-capturing phenomenon is that the austral autumn atmospheric signal, characterized by a negatively polarized Antarctic Oscillation (AAO), is significantly related to the gradual evolution of preceding SOSST anomalies, suggesting that the SOSST anomalies tend to exert an effect on the Southern Hemisphere atmospheric circulation. A regression analysis based on SOSST anomaly centers confirms these features. It is also demonstrated that the gradual evolution of changes in SOSST is mainly driven by internal atmospheric variability via surface turbulent heat flux associated with cold or warm advection and that the atmospheric circulation experiences a change from a typical positive AAO to a negative phase in this process. These findings indicate that such a long lead cross-seasonal covariance could contribute to a successful prediction of AAO-related atmospheric circulation in austral autumn from the perspective of SOSST anomalies, with lead times up to 6-7 months.

Anomalies, Antarctic oscillation, Circulation/ dynamics, Climate variability, Interannual variability, Variability
0894-8755
2109-2122
Hu, Chundi
fde3ff7f-90e5-434d-90e8-944837f90d94
Wu, Qigang
cea7cc67-4b76-4f50-8d92-fe46b32d8bfe
Yang, Song
d3aac7b6-8906-4377-a3dd-c55e7d2d0564
Yao, Yonghong
e6568469-548a-4420-bfcb-975964d1a738
Chan, Duo
4c1278dc-7f39-4b67-b1cd-3f81f55f4906
Li, Zhenning
3f985aff-6041-4984-94a6-8ef075443b11
Deng, Kaiqiang
4b19a584-6ca1-401b-a1cc-099fcd405c1d
Hu, Chundi
fde3ff7f-90e5-434d-90e8-944837f90d94
Wu, Qigang
cea7cc67-4b76-4f50-8d92-fe46b32d8bfe
Yang, Song
d3aac7b6-8906-4377-a3dd-c55e7d2d0564
Yao, Yonghong
e6568469-548a-4420-bfcb-975964d1a738
Chan, Duo
4c1278dc-7f39-4b67-b1cd-3f81f55f4906
Li, Zhenning
3f985aff-6041-4984-94a6-8ef075443b11
Deng, Kaiqiang
4b19a584-6ca1-401b-a1cc-099fcd405c1d

Hu, Chundi, Wu, Qigang, Yang, Song, Yao, Yonghong, Chan, Duo, Li, Zhenning and Deng, Kaiqiang (2016) A linkage observed between austral autumn Antarctic oscillation and preceding Southern Ocean SST anomalies. Journal of Climate, 29 (6), 2109-2122. (doi:10.1175/JCLI-D-15-0403.1).

Record type: Article

Abstract

In this study, the authors apply a lagged maximum covariance analysis (MCA) to capture the cross-seasonal coupled patterns between the Southern Ocean sea surface temperature (SOSST) and extratropical 500-hPa geopotential height anomalies in the Southern Hemisphere, from which Niño-3.4 signals and their linear trends are removed to a certain extent. Statistically significant results show that the dominant feature of ocean-atmosphere interaction is likely the effect of atmosphere on SOSST anomalies, with a peak occurring when the atmosphere leads the SOSST by 1 month. However, the most eye-capturing phenomenon is that the austral autumn atmospheric signal, characterized by a negatively polarized Antarctic Oscillation (AAO), is significantly related to the gradual evolution of preceding SOSST anomalies, suggesting that the SOSST anomalies tend to exert an effect on the Southern Hemisphere atmospheric circulation. A regression analysis based on SOSST anomaly centers confirms these features. It is also demonstrated that the gradual evolution of changes in SOSST is mainly driven by internal atmospheric variability via surface turbulent heat flux associated with cold or warm advection and that the atmospheric circulation experiences a change from a typical positive AAO to a negative phase in this process. These findings indicate that such a long lead cross-seasonal covariance could contribute to a successful prediction of AAO-related atmospheric circulation in austral autumn from the perspective of SOSST anomalies, with lead times up to 6-7 months.

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More information

Published date: 1 March 2016
Additional Information: Publisher Copyright: © 2016 American Meteorological Society.
Keywords: Anomalies, Antarctic oscillation, Circulation/ dynamics, Climate variability, Interannual variability, Variability

Identifiers

Local EPrints ID: 503006
URI: http://eprints.soton.ac.uk/id/eprint/503006
ISSN: 0894-8755
PURE UUID: 59ccaeaf-c976-4f12-9e68-25942444e14a
ORCID for Duo Chan: ORCID iD orcid.org/0000-0002-8573-5115

Catalogue record

Date deposited: 15 Jul 2025 16:57
Last modified: 17 Jul 2025 02:25

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Contributors

Author: Chundi Hu
Author: Qigang Wu
Author: Song Yang
Author: Yonghong Yao
Author: Duo Chan ORCID iD
Author: Zhenning Li
Author: Kaiqiang Deng

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