Spatial variability and regional trends of Antarctic ice shelf surface melt duration over 1979 - 2020 derived from passive microwave data.

Abstract Passive microwave satellite observations are used to identify the presence of surface meltwater across Antarctica at daily intervals from July 1979 to June 2020, with a focus on ice shelves. Antarctic Peninsula ice shelves have the highest number of annual days of melt, with a maximum of 89...

Full description

Bibliographic Details
Published in:Journal of Glaciology
Main Authors: Johnson, Andrew, Hock, Regine, Fahnestock, Mark
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
Online Access:http://hdl.handle.net/10852/90436
http://urn.nb.no/URN:NBN:no-93038
https://doi.org/10.1017/jog.2021.112
id ftoslouniv:oai:www.duo.uio.no:10852/90436
record_format openpolar
spelling ftoslouniv:oai:www.duo.uio.no:10852/90436 2024-09-30T14:26:38+00:00 Spatial variability and regional trends of Antarctic ice shelf surface melt duration over 1979 - 2020 derived from passive microwave data. Johnson, Andrew Hock, Regine Fahnestock, Mark 2022-01-06T15:41:56Z http://hdl.handle.net/10852/90436 http://urn.nb.no/URN:NBN:no-93038 https://doi.org/10.1017/jog.2021.112 EN eng http://urn.nb.no/URN:NBN:no-93038 Johnson, Andrew Hock, Regine Fahnestock, Mark . Spatial variability and regional trends of Antarctic ice shelf surface melt duration over 1979 - 2020 derived from passive microwave data. Journal of Glaciology. 2021 http://hdl.handle.net/10852/90436 1976100 info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal of Glaciology&rft.volume=&rft.spage=&rft.date=2021 Journal of Glaciology 1 14 https://doi.org/10.1017/jog.2021.112 URN:NBN:no-93038 Fulltext https://www.duo.uio.no/bitstream/handle/10852/90436/1/Johnson2021_JGlac_meltdaystrends.pdf Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/ 0022-1430 Journal article Tidsskriftartikkel Peer reviewed PublishedVersion 2022 ftoslouniv https://doi.org/10.1017/jog.2021.112 2024-09-12T05:44:04Z Abstract Passive microwave satellite observations are used to identify the presence of surface meltwater across Antarctica at daily intervals from July 1979 to June 2020, with a focus on ice shelves. Antarctic Peninsula ice shelves have the highest number of annual days of melt, with a maximum of 89 days. Over the entire time period, there are few significant linear trends in days of melt per year. High melt years can be split into two distinct categories, those with high melt days in Dronning Maud Land and Wilkes Land, and those with high melt days in the Antarctic Peninsula and the Bellingshausen Sea sector of West Antarctica. The first pattern coincides with significant negative correlations between melt days and spring and summer Southern Annular Mode. Both patterns also form the primary modes of spatial and annual variability in the dataset observed by Principal Component Analysis. Areas experiencing extended melt for the first time in years tend to show large decreases in subsequent winter microwave emissions due to structural changes in the firn. We use this to identify the impact of novel melt events, particularly over the austral summers of 1991/92 and 2015/16 on the Ross Ice Shelf. Article in Journal/Newspaper Antarc* Antarctic Antarctic Peninsula Antarctica Bellingshausen Sea Dronning Maud Land Ice Shelf Ice Shelves Journal of Glaciology Ross Ice Shelf West Antarctica Wilkes Land Universitet i Oslo: Digitale utgivelser ved UiO (DUO) Antarctic The Antarctic Antarctic Peninsula Austral Dronning Maud Land West Antarctica Bellingshausen Sea Ross Ice Shelf Wilkes Land ENVELOPE(120.000,120.000,-69.000,-69.000) Journal of Glaciology 68 269 533 546
institution Open Polar
collection Universitet i Oslo: Digitale utgivelser ved UiO (DUO)
op_collection_id ftoslouniv
language English
description Abstract Passive microwave satellite observations are used to identify the presence of surface meltwater across Antarctica at daily intervals from July 1979 to June 2020, with a focus on ice shelves. Antarctic Peninsula ice shelves have the highest number of annual days of melt, with a maximum of 89 days. Over the entire time period, there are few significant linear trends in days of melt per year. High melt years can be split into two distinct categories, those with high melt days in Dronning Maud Land and Wilkes Land, and those with high melt days in the Antarctic Peninsula and the Bellingshausen Sea sector of West Antarctica. The first pattern coincides with significant negative correlations between melt days and spring and summer Southern Annular Mode. Both patterns also form the primary modes of spatial and annual variability in the dataset observed by Principal Component Analysis. Areas experiencing extended melt for the first time in years tend to show large decreases in subsequent winter microwave emissions due to structural changes in the firn. We use this to identify the impact of novel melt events, particularly over the austral summers of 1991/92 and 2015/16 on the Ross Ice Shelf.
format Article in Journal/Newspaper
author Johnson, Andrew
Hock, Regine
Fahnestock, Mark
spellingShingle Johnson, Andrew
Hock, Regine
Fahnestock, Mark
Spatial variability and regional trends of Antarctic ice shelf surface melt duration over 1979 - 2020 derived from passive microwave data.
author_facet Johnson, Andrew
Hock, Regine
Fahnestock, Mark
author_sort Johnson, Andrew
title Spatial variability and regional trends of Antarctic ice shelf surface melt duration over 1979 - 2020 derived from passive microwave data.
title_short Spatial variability and regional trends of Antarctic ice shelf surface melt duration over 1979 - 2020 derived from passive microwave data.
title_full Spatial variability and regional trends of Antarctic ice shelf surface melt duration over 1979 - 2020 derived from passive microwave data.
title_fullStr Spatial variability and regional trends of Antarctic ice shelf surface melt duration over 1979 - 2020 derived from passive microwave data.
title_full_unstemmed Spatial variability and regional trends of Antarctic ice shelf surface melt duration over 1979 - 2020 derived from passive microwave data.
title_sort spatial variability and regional trends of antarctic ice shelf surface melt duration over 1979 - 2020 derived from passive microwave data.
publishDate 2022
url http://hdl.handle.net/10852/90436
http://urn.nb.no/URN:NBN:no-93038
https://doi.org/10.1017/jog.2021.112
long_lat ENVELOPE(120.000,120.000,-69.000,-69.000)
geographic Antarctic
The Antarctic
Antarctic Peninsula
Austral
Dronning Maud Land
West Antarctica
Bellingshausen Sea
Ross Ice Shelf
Wilkes Land
geographic_facet Antarctic
The Antarctic
Antarctic Peninsula
Austral
Dronning Maud Land
West Antarctica
Bellingshausen Sea
Ross Ice Shelf
Wilkes Land
genre Antarc*
Antarctic
Antarctic Peninsula
Antarctica
Bellingshausen Sea
Dronning Maud Land
Ice Shelf
Ice Shelves
Journal of Glaciology
Ross Ice Shelf
West Antarctica
Wilkes Land
genre_facet Antarc*
Antarctic
Antarctic Peninsula
Antarctica
Bellingshausen Sea
Dronning Maud Land
Ice Shelf
Ice Shelves
Journal of Glaciology
Ross Ice Shelf
West Antarctica
Wilkes Land
op_source 0022-1430
op_relation http://urn.nb.no/URN:NBN:no-93038
Johnson, Andrew Hock, Regine Fahnestock, Mark . Spatial variability and regional trends of Antarctic ice shelf surface melt duration over 1979 - 2020 derived from passive microwave data. Journal of Glaciology. 2021
http://hdl.handle.net/10852/90436
1976100
info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Journal of Glaciology&rft.volume=&rft.spage=&rft.date=2021
Journal of Glaciology
1
14
https://doi.org/10.1017/jog.2021.112
URN:NBN:no-93038
Fulltext https://www.duo.uio.no/bitstream/handle/10852/90436/1/Johnson2021_JGlac_meltdaystrends.pdf
op_rights Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.1017/jog.2021.112
container_title Journal of Glaciology
container_volume 68
container_issue 269
container_start_page 533
op_container_end_page 546
_version_ 1811632770363949056