Multi-temporal variation of the Ross Sea Polynya in response to climate forcings

The multi-temporal scales of two physical characteristics (areas and occurrence time) of the Ross Sea Polynya (RSP) in Antarctica were analysed using a sea-ice concentration data set (1979–2014) derived from the Scanning Multichannel Microwave Radiometer, the Special Sensor Microwave Imager and Sens...

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Main Authors: Park, Jinku, Kim, Hyun-Cheol, Kidwell, Autumn, Hwang, Jihyun
Format: Article in Journal/Newspaper
Language:English
Published: Norwegian Polar Institute 2018
Subjects:
Online Access:https://polarresearch.net/index.php/polar/article/view/2688
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spelling ftjpolarres:oai:journals.openacademia.net:article/2688 2023-05-15T14:01:21+02:00 Multi-temporal variation of the Ross Sea Polynya in response to climate forcings Park, Jinku Kim, Hyun-Cheol Kidwell, Autumn Hwang, Jihyun 2018-05-02 application/pdf application/xml application/vnd.openxmlformats-officedocument.wordprocessingml.document https://polarresearch.net/index.php/polar/article/view/2688 eng eng Norwegian Polar Institute https://polarresearch.net/index.php/polar/article/view/2688/6137 https://polarresearch.net/index.php/polar/article/view/2688/6138 https://polarresearch.net/index.php/polar/article/view/2688/6139 https://polarresearch.net/index.php/polar/article/view/2688 Polar Research; Vol 37 (2018) 1751-8369 Ensemble Empirical Mode Decomposition (EEMD) nonlinear trend Southern Ocean sea ice Antarctica info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2018 ftjpolarres 2021-11-11T19:13:09Z The multi-temporal scales of two physical characteristics (areas and occurrence time) of the Ross Sea Polynya (RSP) in Antarctica were analysed using a sea-ice concentration data set (1979–2014) derived from the Scanning Multichannel Microwave Radiometer, the Special Sensor Microwave Imager and Sensor Microwave Imager Sounder. Then, the Ensemble Empirical Mode Decomposition (EEMD) was applied to the data sets to decompose signals into finite numbers of intrinsic mode functions and a residual mode: long time trend. This approach allowed us to understand the long-term variability of the RSP area and occurrence in response to atmospheric forcing through teleconnections between low and high latitudes by comparing the Nino3.4 and Southern Annular Mode (SAM) indices. The nonlinear trend of the RSP areas derived from the EEMD residual had an upward trending shift in the early 1990s and was fairly consistent with the nonlinear trend of Nino3.4. However, the trend of RSP occurrence time progressively increased and had a significant effect on the long time scale. The trend of the RSP area is significantly correlated (+0.98) with the ratio of the trend of the meridional to zonal wind components related with the nonlinearity of Nino3.4, suggesting that meridional wind stress dominated the changes of the polynya area in the Ross Sea. In addition, the nonlinear trends between the SAM and RSP occurrence time show a strong positive correlation, contributing to the earlier onset of polynya expansion and delayed connection with the open ocean owing to enhanced southerly winds. Article in Journal/Newspaper Antarc* Antarctica Polar Research Ross Sea Sea ice Southern Ocean Polar Research (E-Journal) Southern Ocean Ross Sea
institution Open Polar
collection Polar Research (E-Journal)
op_collection_id ftjpolarres
language English
topic Ensemble Empirical Mode Decomposition (EEMD)
nonlinear trend
Southern Ocean
sea ice
Antarctica
spellingShingle Ensemble Empirical Mode Decomposition (EEMD)
nonlinear trend
Southern Ocean
sea ice
Antarctica
Park, Jinku
Kim, Hyun-Cheol
Kidwell, Autumn
Hwang, Jihyun
Multi-temporal variation of the Ross Sea Polynya in response to climate forcings
topic_facet Ensemble Empirical Mode Decomposition (EEMD)
nonlinear trend
Southern Ocean
sea ice
Antarctica
description The multi-temporal scales of two physical characteristics (areas and occurrence time) of the Ross Sea Polynya (RSP) in Antarctica were analysed using a sea-ice concentration data set (1979–2014) derived from the Scanning Multichannel Microwave Radiometer, the Special Sensor Microwave Imager and Sensor Microwave Imager Sounder. Then, the Ensemble Empirical Mode Decomposition (EEMD) was applied to the data sets to decompose signals into finite numbers of intrinsic mode functions and a residual mode: long time trend. This approach allowed us to understand the long-term variability of the RSP area and occurrence in response to atmospheric forcing through teleconnections between low and high latitudes by comparing the Nino3.4 and Southern Annular Mode (SAM) indices. The nonlinear trend of the RSP areas derived from the EEMD residual had an upward trending shift in the early 1990s and was fairly consistent with the nonlinear trend of Nino3.4. However, the trend of RSP occurrence time progressively increased and had a significant effect on the long time scale. The trend of the RSP area is significantly correlated (+0.98) with the ratio of the trend of the meridional to zonal wind components related with the nonlinearity of Nino3.4, suggesting that meridional wind stress dominated the changes of the polynya area in the Ross Sea. In addition, the nonlinear trends between the SAM and RSP occurrence time show a strong positive correlation, contributing to the earlier onset of polynya expansion and delayed connection with the open ocean owing to enhanced southerly winds.
format Article in Journal/Newspaper
author Park, Jinku
Kim, Hyun-Cheol
Kidwell, Autumn
Hwang, Jihyun
author_facet Park, Jinku
Kim, Hyun-Cheol
Kidwell, Autumn
Hwang, Jihyun
author_sort Park, Jinku
title Multi-temporal variation of the Ross Sea Polynya in response to climate forcings
title_short Multi-temporal variation of the Ross Sea Polynya in response to climate forcings
title_full Multi-temporal variation of the Ross Sea Polynya in response to climate forcings
title_fullStr Multi-temporal variation of the Ross Sea Polynya in response to climate forcings
title_full_unstemmed Multi-temporal variation of the Ross Sea Polynya in response to climate forcings
title_sort multi-temporal variation of the ross sea polynya in response to climate forcings
publisher Norwegian Polar Institute
publishDate 2018
url https://polarresearch.net/index.php/polar/article/view/2688
geographic Southern Ocean
Ross Sea
geographic_facet Southern Ocean
Ross Sea
genre Antarc*
Antarctica
Polar Research
Ross Sea
Sea ice
Southern Ocean
genre_facet Antarc*
Antarctica
Polar Research
Ross Sea
Sea ice
Southern Ocean
op_source Polar Research; Vol 37 (2018)
1751-8369
op_relation https://polarresearch.net/index.php/polar/article/view/2688/6137
https://polarresearch.net/index.php/polar/article/view/2688/6138
https://polarresearch.net/index.php/polar/article/view/2688/6139
https://polarresearch.net/index.php/polar/article/view/2688
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