Confirmation of ENSO-Southern Ocean Teleconnections Using Satellite-Derived SST

The Southern Ocean is the focus of many physical, chemical, and biological analyses due to its global importance and highly variable climate. This analysis of sea surface temperatures (SST) and global teleconnections shows that SSTs are significantly spatially correlated with both the Antarctic Osci...

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Main Authors: Brady S. Ferster, Bulusu Subrahmanyam, Alison M. Macdonald
Format: Article
Language:English
Published: MDPI AG 2018-02-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/10/2/331
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spelling doaj-a2f37c764ba24c8fb19a7c8f2e7e5a122020-11-24T22:26:39ZengMDPI AGRemote Sensing2072-42922018-02-0110233110.3390/rs10020331rs10020331Confirmation of ENSO-Southern Ocean Teleconnections Using Satellite-Derived SSTBrady S. Ferster0Bulusu Subrahmanyam1Alison M. Macdonald2School of the Earth, Ocean and Environment, University of South Carolina, 701 Sumter Street, Columbia, SC 29208, USASchool of the Earth, Ocean and Environment, University of South Carolina, 701 Sumter Street, Columbia, SC 29208, USAPhysical Oceanography Department, Woods Hole Oceanographic Institution, MS 21, 266 Woods Hole Rd., Woods Hole, MA 02543, USAThe Southern Ocean is the focus of many physical, chemical, and biological analyses due to its global importance and highly variable climate. This analysis of sea surface temperatures (SST) and global teleconnections shows that SSTs are significantly spatially correlated with both the Antarctic Oscillation and the Southern Oscillation, with spatial correlations between the indices and standardized SST anomalies approaching 1.0. Here, we report that the recent positive patterns in the Antarctic and Southern Oscillations are driving negative (cooling) trends in SST in the high latitude Southern Ocean and positive (warming) trends within the Southern Hemisphere sub-tropics and mid-latitudes. The coefficient of regression over the 35-year period analyzed implies that standardized temperatures have warmed at a rate of 0.0142 per year between 1982 and 2016 with a monthly standard error in the regression of 0.0008. Further regression calculations between the indices and SST indicate strong seasonality in response to changes in atmospheric circulation, with the strongest feedback occurring throughout the austral summer and autumn.http://www.mdpi.com/2072-4292/10/2/331Southern Oceansea surface temperatureteleconnectionsAntarctic OscillationEl Niño-Southern OscillationAVHRR
collection DOAJ
language English
format Article
sources DOAJ
author Brady S. Ferster
Bulusu Subrahmanyam
Alison M. Macdonald
spellingShingle Brady S. Ferster
Bulusu Subrahmanyam
Alison M. Macdonald
Confirmation of ENSO-Southern Ocean Teleconnections Using Satellite-Derived SST
Remote Sensing
Southern Ocean
sea surface temperature
teleconnections
Antarctic Oscillation
El Niño-Southern Oscillation
AVHRR
author_facet Brady S. Ferster
Bulusu Subrahmanyam
Alison M. Macdonald
author_sort Brady S. Ferster
title Confirmation of ENSO-Southern Ocean Teleconnections Using Satellite-Derived SST
title_short Confirmation of ENSO-Southern Ocean Teleconnections Using Satellite-Derived SST
title_full Confirmation of ENSO-Southern Ocean Teleconnections Using Satellite-Derived SST
title_fullStr Confirmation of ENSO-Southern Ocean Teleconnections Using Satellite-Derived SST
title_full_unstemmed Confirmation of ENSO-Southern Ocean Teleconnections Using Satellite-Derived SST
title_sort confirmation of enso-southern ocean teleconnections using satellite-derived sst
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2018-02-01
description The Southern Ocean is the focus of many physical, chemical, and biological analyses due to its global importance and highly variable climate. This analysis of sea surface temperatures (SST) and global teleconnections shows that SSTs are significantly spatially correlated with both the Antarctic Oscillation and the Southern Oscillation, with spatial correlations between the indices and standardized SST anomalies approaching 1.0. Here, we report that the recent positive patterns in the Antarctic and Southern Oscillations are driving negative (cooling) trends in SST in the high latitude Southern Ocean and positive (warming) trends within the Southern Hemisphere sub-tropics and mid-latitudes. The coefficient of regression over the 35-year period analyzed implies that standardized temperatures have warmed at a rate of 0.0142 per year between 1982 and 2016 with a monthly standard error in the regression of 0.0008. Further regression calculations between the indices and SST indicate strong seasonality in response to changes in atmospheric circulation, with the strongest feedback occurring throughout the austral summer and autumn.
topic Southern Ocean
sea surface temperature
teleconnections
Antarctic Oscillation
El Niño-Southern Oscillation
AVHRR
url http://www.mdpi.com/2072-4292/10/2/331
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