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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Norwegian Polar Institute
2018
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Online Access: | https://doi.org/10.1080/17518369.2018.1444891 https://doaj.org/article/7fe468afedd941a7ba4259cc467b7101 |
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fttriple:oai:gotriple.eu:oai:doaj.org/article:7fe468afedd941a7ba4259cc467b7101 2023-05-15T13:32:30+02:00 Multi-temporal variation of the Ross Sea Polynya in response to climate forcings Jinku Park Hyun-Cheol Kim Young-Heon Jo Autumn Kidwell Jihyun Hwang 2018-01-01 https://doi.org/10.1080/17518369.2018.1444891 https://doaj.org/article/7fe468afedd941a7ba4259cc467b7101 en eng Norwegian Polar Institute 1751-8369 doi:10.1080/17518369.2018.1444891 https://doaj.org/article/7fe468afedd941a7ba4259cc467b7101 undefined Polar Research, Vol 37, Iss 1 (2018) Ensemble Empirical Mode Decomposition (EEMD) nonlinear trend Southern Ocean sea ice Antarctica geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2018 fttriple https://doi.org/10.1080/17518369.2018.1444891 2023-01-22T18:48:21Z 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 Unknown Ross Sea Southern Ocean Polar Research 37 1 1444891 |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
English |
topic |
Ensemble Empirical Mode Decomposition (EEMD) nonlinear trend Southern Ocean sea ice Antarctica geo envir |
spellingShingle |
Ensemble Empirical Mode Decomposition (EEMD) nonlinear trend Southern Ocean sea ice Antarctica geo envir Jinku Park Hyun-Cheol Kim Young-Heon Jo Autumn Kidwell Jihyun Hwang 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 geo envir |
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 |
Jinku Park Hyun-Cheol Kim Young-Heon Jo Autumn Kidwell Jihyun Hwang |
author_facet |
Jinku Park Hyun-Cheol Kim Young-Heon Jo Autumn Kidwell Jihyun Hwang |
author_sort |
Jinku Park |
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://doi.org/10.1080/17518369.2018.1444891 https://doaj.org/article/7fe468afedd941a7ba4259cc467b7101 |
geographic |
Ross Sea Southern Ocean |
geographic_facet |
Ross Sea Southern Ocean |
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, Iss 1 (2018) |
op_relation |
1751-8369 doi:10.1080/17518369.2018.1444891 https://doaj.org/article/7fe468afedd941a7ba4259cc467b7101 |
op_rights |
undefined |
op_doi |
https://doi.org/10.1080/17518369.2018.1444891 |
container_title |
Polar Research |
container_volume |
37 |
container_issue |
1 |
container_start_page |
1444891 |
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1766027491525263360 |