Seasonal-to-Interannual Response of Southern Ocean Mixed Layer Depth to the Southern Annular Mode from a Global 1/10° Ocean Model
Abstract
The relationship between the southern annular mode (SAM) and Southern Ocean mixed layer depth (MLD) is investigated herein using a global 0.1° resolution ocean model. The SAM index is defined as the principal component time series of the leading empirical orthogonal function of extratropical sea level pressure from September to December, when the zonally symmetric SAM feature is most prominent. Following positive phases of the SAM, anomalous deep mixed layers occur in the subsequent fall season, starting in May, particularly in the southeast Pacific. Composite analyses reveal that for positive SAM phases enhanced surface cooling caused by anomalously strong westerlies weakens the stratification of the water column, leading to deeper mixed layers during spring when the SAM signal is at its strongest. During the subsequent summer, the surface warms and the mixed layer shoals. However, beneath the warm surface layer, anomalously weak stratification persists throughout the summer and into fall. When the surface cools again during fall, the mixed layer readily deepens due to this weak interior stratification, a legacy from the previous springtime conditions. Therefore, the spring SAM–fall MLD relationship is interpreted here as a manifestation of reemergence of interior water mass anomalies. The opposite occurs after negative phasesmore »
- Authors:
-
- Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, State College, Pennsylvania, and Climate Change Research Centre and ARC Centre of Excellence for Climate System Science, University of New South Wales, Sydney, New South Wales, Australia
- Department of Meteorology and Atmospheric Science, The Pennsylvania State University, University Park, State College, Pennsylvania
- Climate Change Research Centre and ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, New South Wales, Australia
- Scripps Institution of Oceanography, University of California, San Diego, La Jolla, California
- Publication Date:
- Research Org.:
- Univ. of California, San Diego, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC); National Science Foundation (NSF); AustralianResearch Council (ARC)
- OSTI Identifier:
- 1558709
- Alternate Identifier(s):
- OSTI ID: 1612198
- Grant/Contract Number:
- SC0014440; AGS-1455577; TG-OCE110013; OCE-0850463
- Resource Type:
- Published Article
- Journal Name:
- Journal of Climate
- Additional Journal Information:
- Journal Name: Journal of Climate Journal Volume: 32 Journal Issue: 18; Journal ID: ISSN 0894-8755
- Publisher:
- American Meteorological Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; 37 INORGANIC, ORGANIC, PHYSICAL, AND ANALYTICAL CHEMISTRY; Meteorology & atmospheric sciences; Southern Ocean; Atmosphere-ocean interaction; Mixed layer; Climate variability; General circulation models; Interannual variability
Citation Formats
Li, Qian, Lee, Sukyoung, England, Matthew H., and McClean, Julie L. Seasonal-to-Interannual Response of Southern Ocean Mixed Layer Depth to the Southern Annular Mode from a Global 1/10° Ocean Model. United States: N. p., 2019.
Web. doi:10.1175/JCLI-D-19-0159.1.
Li, Qian, Lee, Sukyoung, England, Matthew H., & McClean, Julie L. Seasonal-to-Interannual Response of Southern Ocean Mixed Layer Depth to the Southern Annular Mode from a Global 1/10° Ocean Model. United States. https://doi.org/10.1175/JCLI-D-19-0159.1
Li, Qian, Lee, Sukyoung, England, Matthew H., and McClean, Julie L. Fri .
"Seasonal-to-Interannual Response of Southern Ocean Mixed Layer Depth to the Southern Annular Mode from a Global 1/10° Ocean Model". United States. https://doi.org/10.1175/JCLI-D-19-0159.1.
@article{osti_1558709,
title = {Seasonal-to-Interannual Response of Southern Ocean Mixed Layer Depth to the Southern Annular Mode from a Global 1/10° Ocean Model},
author = {Li, Qian and Lee, Sukyoung and England, Matthew H. and McClean, Julie L.},
abstractNote = {The relationship between the southern annular mode (SAM) and Southern Ocean mixed layer depth (MLD) is investigated herein using a global 0.1° resolution ocean model. The SAM index is defined as the principal component time series of the leading empirical orthogonal function of extratropical sea level pressure from September to December, when the zonally symmetric SAM feature is most prominent. Following positive phases of the SAM, anomalous deep mixed layers occur in the subsequent fall season, starting in May, particularly in the southeast Pacific. Composite analyses reveal that for positive SAM phases enhanced surface cooling caused by anomalously strong westerlies weakens the stratification of the water column, leading to deeper mixed layers during spring when the SAM signal is at its strongest. During the subsequent summer, the surface warms and the mixed layer shoals. However, beneath the warm surface layer, anomalously weak stratification persists throughout the summer and into fall. When the surface cools again during fall, the mixed layer readily deepens due to this weak interior stratification, a legacy from the previous springtime conditions. Therefore, the spring SAM–fall MLD relationship is interpreted here as a manifestation of reemergence of interior water mass anomalies. The opposite occurs after negative phases of the SAM, with anomalously shallow mixed layers resulting. Additional analyses reveal that for the MLD region in the southeast Pacific, the effects of salinity variations and Ekman heat advection are negligible, although Ekman heat transport may play an important role in other regions where mode water is formed, such as south of Australia and in the Indian Ocean.},
doi = {10.1175/JCLI-D-19-0159.1},
journal = {Journal of Climate},
number = 18,
volume = 32,
place = {United States},
year = {Fri Aug 23 00:00:00 EDT 2019},
month = {Fri Aug 23 00:00:00 EDT 2019}
}
https://doi.org/10.1175/JCLI-D-19-0159.1
Web of Science
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