Sea ice and large-scale atmospheric variability around East Antarctica

Antarctica’s sea ice cover is an important component in the global climate system. The variability and recent trends of sea ice concentration are, however, not accurately reproduced by models. Evaluating model performance is hampered because the processes that determine sea ice distribution are not...

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Bibliographic Details
Main Author: Florence Isaacs (8512950)
Format: Thesis
Language:unknown
Published: 2021
Subjects:
Online Access:https://doi.org/10.26686/wgtn.16614247.v1
id ftsmithonian:oai:figshare.com:article/16614247
record_format openpolar
institution Open Polar
collection Unknown
op_collection_id ftsmithonian
language unknown
topic Climatology (excl. Climate Change Processes)
sea ice
climate variability
East Antarctica
School: School of Geography
Environment and Earth Sciences
Unit: Antarctic Research Centre
040105 Climatology (excl. Climate Change Processes)
Degree Discipline: Physical Geography
Degree Level: Doctoral
Degree Name: Doctor of Philosophy
spellingShingle Climatology (excl. Climate Change Processes)
sea ice
climate variability
East Antarctica
School: School of Geography
Environment and Earth Sciences
Unit: Antarctic Research Centre
040105 Climatology (excl. Climate Change Processes)
Degree Discipline: Physical Geography
Degree Level: Doctoral
Degree Name: Doctor of Philosophy
Florence Isaacs (8512950)
Sea ice and large-scale atmospheric variability around East Antarctica
topic_facet Climatology (excl. Climate Change Processes)
sea ice
climate variability
East Antarctica
School: School of Geography
Environment and Earth Sciences
Unit: Antarctic Research Centre
040105 Climatology (excl. Climate Change Processes)
Degree Discipline: Physical Geography
Degree Level: Doctoral
Degree Name: Doctor of Philosophy
description Antarctica’s sea ice cover is an important component in the global climate system. The variability and recent trends of sea ice concentration are, however, not accurately reproduced by models. Evaluating model performance is hampered because the processes that determine sea ice distribution are not yet well understood, particularly in the East Antarctic region. Here I explore the relationships between recent climate variability and sea ice around East Antarctica, the spatial variability in these relationships, and the impacts that these may have on other aspects of the climate and cryosphere. To achieve this, I analysed satellite-derived HadlSST sea ice concentration (SIC) alongside ERA5 atmospheric reanalysis data for the period between 1979-2018. I found that variability in sea ice coverage around East Antarctica was affected by El Niño Southern Oscillation (ENSO), the Indian Ocean Dipole (IOD), the Southern Annular Mode (SAM), and Zonal Wave 3 (ZW3). Additionally, I found that the influence of each of these modes varied spatially and temporally, and that sea ice variability affected how regional scale climate responded to changes in large-scale circulation. Summer and autumn SIC around Dronning Maud Land between 10°E and 70°E exhibited a statistically significant negative correlation with the Niño 3.4 index. Analysis of ERA5 data suggests that a southward‐propagating atmospheric wave train triggered by SST anomalies in the tropical Pacific extends into Dronning Maud Land and alters sea ice concentration by encouraging meridional airflow. Shifts in meridional flow in Dronning Maud Land affected sea ice thermodynamically, by altering local heat transport and in turn altering sea ice formation and melt. Sea ice around the Western Pacific sector (WPS) of East Antarctica showed a significant association with variability in the IOD and the SAM. The IOD was correlated with SIC in all seasons but summer. The IOD-SIC relationship is likely driven by an IOD-associated atmospheric wave-train which propagates polewards from the tropical Indian Ocean to Wilkes Land, altering regional circulation and in turn affecting SIC through changes to local climate and sea ice transport. The correlation between WPS SIC and the SAM shifts from positive in summer and autumn to negative in winter and spring, and is likely due to the influence of the SAM on katabatic winds and coastal polynyas, which in turn affect SIC. A significant correlation was observed between SIC variability around East Antarctica and precipitation variability across the continent and the near-coastal Southern Ocean. Further analysis showed that SIC affected how continental precipitation responded to large-scale atmospheric circulation, including modes such as ZW3 and the SAM. Specifically, increased southward moisture flux was only associated with increased precipitation in the inland coastal regions of the continent when SIC was anomalously low. These findings suggest that any future decrease in sea ice may result in greater coupling of climate variability with continental precipitation.
format Thesis
author Florence Isaacs (8512950)
author_facet Florence Isaacs (8512950)
author_sort Florence Isaacs (8512950)
title Sea ice and large-scale atmospheric variability around East Antarctica
title_short Sea ice and large-scale atmospheric variability around East Antarctica
title_full Sea ice and large-scale atmospheric variability around East Antarctica
title_fullStr Sea ice and large-scale atmospheric variability around East Antarctica
title_full_unstemmed Sea ice and large-scale atmospheric variability around East Antarctica
title_sort sea ice and large-scale atmospheric variability around east antarctica
publishDate 2021
url https://doi.org/10.26686/wgtn.16614247.v1
long_lat ENVELOPE(120.000,120.000,-69.000,-69.000)
geographic Antarctic
Dronning Maud Land
East Antarctica
Indian
Pacific
Southern Ocean
Wilkes Land
geographic_facet Antarctic
Dronning Maud Land
East Antarctica
Indian
Pacific
Southern Ocean
Wilkes Land
genre Antarc*
Antarctic
Antarctica
Dronning Maud Land
East Antarctica
Sea ice
Southern Ocean
Wilkes Land
genre_facet Antarc*
Antarctic
Antarctica
Dronning Maud Land
East Antarctica
Sea ice
Southern Ocean
Wilkes Land
op_relation https://figshare.com/articles/thesis/Sea_ice_and_large-scale_atmospheric_variability_around_East_Antarctica/16614247
doi:10.26686/wgtn.16614247.v1
op_rights Author Retains Copyright
op_doi https://doi.org/10.26686/wgtn.16614247.v1
_version_ 1766259895561093120
spelling ftsmithonian:oai:figshare.com:article/16614247 2023-05-15T13:54:13+02:00 Sea ice and large-scale atmospheric variability around East Antarctica Florence Isaacs (8512950) 2021-09-14T03:23:44Z https://doi.org/10.26686/wgtn.16614247.v1 unknown https://figshare.com/articles/thesis/Sea_ice_and_large-scale_atmospheric_variability_around_East_Antarctica/16614247 doi:10.26686/wgtn.16614247.v1 Author Retains Copyright Climatology (excl. Climate Change Processes) sea ice climate variability East Antarctica School: School of Geography Environment and Earth Sciences Unit: Antarctic Research Centre 040105 Climatology (excl. Climate Change Processes) Degree Discipline: Physical Geography Degree Level: Doctoral Degree Name: Doctor of Philosophy Text Thesis 2021 ftsmithonian https://doi.org/10.26686/wgtn.16614247.v1 2021-12-20T02:18:54Z Antarctica’s sea ice cover is an important component in the global climate system. The variability and recent trends of sea ice concentration are, however, not accurately reproduced by models. Evaluating model performance is hampered because the processes that determine sea ice distribution are not yet well understood, particularly in the East Antarctic region. Here I explore the relationships between recent climate variability and sea ice around East Antarctica, the spatial variability in these relationships, and the impacts that these may have on other aspects of the climate and cryosphere. To achieve this, I analysed satellite-derived HadlSST sea ice concentration (SIC) alongside ERA5 atmospheric reanalysis data for the period between 1979-2018. I found that variability in sea ice coverage around East Antarctica was affected by El Niño Southern Oscillation (ENSO), the Indian Ocean Dipole (IOD), the Southern Annular Mode (SAM), and Zonal Wave 3 (ZW3). Additionally, I found that the influence of each of these modes varied spatially and temporally, and that sea ice variability affected how regional scale climate responded to changes in large-scale circulation. Summer and autumn SIC around Dronning Maud Land between 10°E and 70°E exhibited a statistically significant negative correlation with the Niño 3.4 index. Analysis of ERA5 data suggests that a southward‐propagating atmospheric wave train triggered by SST anomalies in the tropical Pacific extends into Dronning Maud Land and alters sea ice concentration by encouraging meridional airflow. Shifts in meridional flow in Dronning Maud Land affected sea ice thermodynamically, by altering local heat transport and in turn altering sea ice formation and melt. Sea ice around the Western Pacific sector (WPS) of East Antarctica showed a significant association with variability in the IOD and the SAM. The IOD was correlated with SIC in all seasons but summer. The IOD-SIC relationship is likely driven by an IOD-associated atmospheric wave-train which propagates polewards from the tropical Indian Ocean to Wilkes Land, altering regional circulation and in turn affecting SIC through changes to local climate and sea ice transport. The correlation between WPS SIC and the SAM shifts from positive in summer and autumn to negative in winter and spring, and is likely due to the influence of the SAM on katabatic winds and coastal polynyas, which in turn affect SIC. A significant correlation was observed between SIC variability around East Antarctica and precipitation variability across the continent and the near-coastal Southern Ocean. Further analysis showed that SIC affected how continental precipitation responded to large-scale atmospheric circulation, including modes such as ZW3 and the SAM. Specifically, increased southward moisture flux was only associated with increased precipitation in the inland coastal regions of the continent when SIC was anomalously low. These findings suggest that any future decrease in sea ice may result in greater coupling of climate variability with continental precipitation. Thesis Antarc* Antarctic Antarctica Dronning Maud Land East Antarctica Sea ice Southern Ocean Wilkes Land Unknown Antarctic Dronning Maud Land East Antarctica Indian Pacific Southern Ocean Wilkes Land ENVELOPE(120.000,120.000,-69.000,-69.000)