Quantitative modeling of the impact of tropical teleconnection on Antarctic sea ice

In recent decades, some researches show that various tropical sea surface temperature variability contributes to Antarctic climate change, especially the sea ice there. On seasonal to interdecadal time scales, atmosphere teleconnections arise from three tropical ocean basins, including the El Niño-S...

Full description

Bibliographic Details
Main Author: Chentao, S.
Format: Conference Object
Language:English
Published: 2023
Subjects:
Online Access:https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017137
id ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_5017137
record_format openpolar
spelling ftgfzpotsdam:oai:gfzpublic.gfz-potsdam.de:item_5017137 2023-08-27T04:04:56+02:00 Quantitative modeling of the impact of tropical teleconnection on Antarctic sea ice Chentao, S. 2023 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017137 eng eng info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-1461 https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017137 XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) info:eu-repo/semantics/conferenceObject 2023 ftgfzpotsdam https://doi.org/10.57757/IUGG23-1461 2023-08-06T23:41:22Z In recent decades, some researches show that various tropical sea surface temperature variability contributes to Antarctic climate change, especially the sea ice there. On seasonal to interdecadal time scales, atmosphere teleconnections arise from three tropical ocean basins, including the El Niño-Southern Oscillation, the Madden-Julian Oscillation, the Indian Ocean Dipole/Basin Mode, the Atlantic Meridional Mode, the Interdecadal Pacific Oscillation and the Atlantic Multidecadal Oscillation, are thought to have an impact on Antarctic sea ice via different mechanisms. However, the specific processes of some teleconnections are still unclear. In particular, there’s a lack of quantitative simulation of the impact of tropical teleconnections on Antarctic sea ice. Moreover, the relative impact of AMO and IPO on Antarctic circulation and sea ice over different time periods has yet to be clearly discussed. Here, using a hierarchy of numerical models with different levels of complexity, we directly and quantitatively simulate the anomalous response of Antarctic sea ice to different specific tropical basin forcings, results show that since 1979, the tropical Atlantic Ocean has made the greatest contribution to the dipole-like multidecadal trend of the west Antarctic sea ice, the variation of SIC can reach about 10%. Meanwhile, the atmospheric model simulation shows that before 2000, AMO dominated the deepening of ASL and the corresponding sea ice variability in austral winter, but after 2000, although the specific location of the low pressure anomaly was slightly different, +AMO and -IPO jointly contributed to the continuous deepening of ASL in austral winter. Conference Object Antarc* Antarctic Sea ice GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam) Antarctic Austral Indian Pacific
institution Open Polar
collection GFZpublic (German Research Centre for Geosciences, Helmholtz-Zentrum Potsdam)
op_collection_id ftgfzpotsdam
language English
description In recent decades, some researches show that various tropical sea surface temperature variability contributes to Antarctic climate change, especially the sea ice there. On seasonal to interdecadal time scales, atmosphere teleconnections arise from three tropical ocean basins, including the El Niño-Southern Oscillation, the Madden-Julian Oscillation, the Indian Ocean Dipole/Basin Mode, the Atlantic Meridional Mode, the Interdecadal Pacific Oscillation and the Atlantic Multidecadal Oscillation, are thought to have an impact on Antarctic sea ice via different mechanisms. However, the specific processes of some teleconnections are still unclear. In particular, there’s a lack of quantitative simulation of the impact of tropical teleconnections on Antarctic sea ice. Moreover, the relative impact of AMO and IPO on Antarctic circulation and sea ice over different time periods has yet to be clearly discussed. Here, using a hierarchy of numerical models with different levels of complexity, we directly and quantitatively simulate the anomalous response of Antarctic sea ice to different specific tropical basin forcings, results show that since 1979, the tropical Atlantic Ocean has made the greatest contribution to the dipole-like multidecadal trend of the west Antarctic sea ice, the variation of SIC can reach about 10%. Meanwhile, the atmospheric model simulation shows that before 2000, AMO dominated the deepening of ASL and the corresponding sea ice variability in austral winter, but after 2000, although the specific location of the low pressure anomaly was slightly different, +AMO and -IPO jointly contributed to the continuous deepening of ASL in austral winter.
format Conference Object
author Chentao, S.
spellingShingle Chentao, S.
Quantitative modeling of the impact of tropical teleconnection on Antarctic sea ice
author_facet Chentao, S.
author_sort Chentao, S.
title Quantitative modeling of the impact of tropical teleconnection on Antarctic sea ice
title_short Quantitative modeling of the impact of tropical teleconnection on Antarctic sea ice
title_full Quantitative modeling of the impact of tropical teleconnection on Antarctic sea ice
title_fullStr Quantitative modeling of the impact of tropical teleconnection on Antarctic sea ice
title_full_unstemmed Quantitative modeling of the impact of tropical teleconnection on Antarctic sea ice
title_sort quantitative modeling of the impact of tropical teleconnection on antarctic sea ice
publishDate 2023
url https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017137
geographic Antarctic
Austral
Indian
Pacific
geographic_facet Antarctic
Austral
Indian
Pacific
genre Antarc*
Antarctic
Sea ice
genre_facet Antarc*
Antarctic
Sea ice
op_source XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
op_relation info:eu-repo/semantics/altIdentifier/doi/10.57757/IUGG23-1461
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5017137
op_doi https://doi.org/10.57757/IUGG23-1461
_version_ 1775354692968120320