Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020

The relatively stable conditions of the sea ice cover in the Antarctic, observed for almost 40 years, seem to be changing recently. Therefore, it is essential to provide sea ice thickness (SIT) and volume (SIV) estimates in order to anticipate potential multi-scale changes in the Antarctic sea ice....

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Published in:Remote Sensing
Main Authors: Florent Garnier, Marion Bocquet, Sara Fleury, Jérôme Bouffard, Michel Tsamados, Frédérique Remy, Gilles Garric, Aliette Chenal
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2022
Subjects:
Q
Online Access:https://doi.org/10.3390/rs14194741
https://doaj.org/article/43636e28ad914eec8e3419f8ab7dbcd0
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spelling ftdoajarticles:oai:doaj.org/article:43636e28ad914eec8e3419f8ab7dbcd0 2023-05-15T14:07:42+02:00 Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020 Florent Garnier Marion Bocquet Sara Fleury Jérôme Bouffard Michel Tsamados Frédérique Remy Gilles Garric Aliette Chenal 2022-09-01T00:00:00Z https://doi.org/10.3390/rs14194741 https://doaj.org/article/43636e28ad914eec8e3419f8ab7dbcd0 EN eng MDPI AG https://www.mdpi.com/2072-4292/14/19/4741 https://doaj.org/toc/2072-4292 doi:10.3390/rs14194741 2072-4292 https://doaj.org/article/43636e28ad914eec8e3419f8ab7dbcd0 Remote Sensing, Vol 14, Iss 4741, p 4741 (2022) sea ice thickness sea ice volume CryoSat-2 envisat climate change Science Q article 2022 ftdoajarticles https://doi.org/10.3390/rs14194741 2022-12-30T19:46:30Z The relatively stable conditions of the sea ice cover in the Antarctic, observed for almost 40 years, seem to be changing recently. Therefore, it is essential to provide sea ice thickness (SIT) and volume (SIV) estimates in order to anticipate potential multi-scale changes in the Antarctic sea ice. For that purpose, the main objectives of this work are: (1) to assess a new sea ice freeboard, thickness and volume altimetry dataset over 2003–2020 and (2) to identify first order impacts of the sea ice recent conditions. To produce these series, we use a neuronal network to calibrate Envisat radar freeboards onto CryoSat-2 (CS2). This method addresses the impacts of surface roughness on Low Resolution Mode (LRM) measurements. During the 2011 common flight period, we found a mean deviation between Envisat and CryoSat-2 radar freeboards by about 0.5 cm. Using the Advanced Microwave Scanning Radiometer (AMSR) and the dual-frequency Altimetric Snow Depth (ASD) data, our solutions are compared with the Upward looking sonar (ULS) draft data, some in-situ measurement of the SIMBA campaign, the total freeboards of 6 Operation Ice Bridge (OIB) missions and ICESat-2 total freeboards. Over 2003–2020, the global mean radar freeboard decreased by about −14% per decade and the SIT and SIV by about −10% per decade (considering a snow depth climatology). This is marked by a slight increase through 2015, which is directly followed by a strong decrease in 2016. Thereafter, freeboards generally remained low and even continued to decrease in some regions such as the Weddell sea. Considering the 2013–2020 period, for which the ASD data are available, radar freeboards and SIT decreased by about −40% per decade. The SIV decreased by about −60% per decade. After 2016, the low SIT values contrast with the sea ice extent that has rather increased again, reaching near-average values in winter 2020. The regional analysis underlines that such thinning (from 2016) occurs in all regions except the Amundsen-Bellingshausen sea sector. Meanwhile, we ... Article in Journal/Newspaper Antarc* Antarctic Bellingshausen Sea Sea ice Weddell Sea Directory of Open Access Journals: DOAJ Articles Antarctic The Antarctic Weddell Sea Bellingshausen Sea Weddell Remote Sensing 14 19 4741
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic sea ice thickness
sea ice volume
CryoSat-2
envisat
climate change
Science
Q
spellingShingle sea ice thickness
sea ice volume
CryoSat-2
envisat
climate change
Science
Q
Florent Garnier
Marion Bocquet
Sara Fleury
Jérôme Bouffard
Michel Tsamados
Frédérique Remy
Gilles Garric
Aliette Chenal
Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020
topic_facet sea ice thickness
sea ice volume
CryoSat-2
envisat
climate change
Science
Q
description The relatively stable conditions of the sea ice cover in the Antarctic, observed for almost 40 years, seem to be changing recently. Therefore, it is essential to provide sea ice thickness (SIT) and volume (SIV) estimates in order to anticipate potential multi-scale changes in the Antarctic sea ice. For that purpose, the main objectives of this work are: (1) to assess a new sea ice freeboard, thickness and volume altimetry dataset over 2003–2020 and (2) to identify first order impacts of the sea ice recent conditions. To produce these series, we use a neuronal network to calibrate Envisat radar freeboards onto CryoSat-2 (CS2). This method addresses the impacts of surface roughness on Low Resolution Mode (LRM) measurements. During the 2011 common flight period, we found a mean deviation between Envisat and CryoSat-2 radar freeboards by about 0.5 cm. Using the Advanced Microwave Scanning Radiometer (AMSR) and the dual-frequency Altimetric Snow Depth (ASD) data, our solutions are compared with the Upward looking sonar (ULS) draft data, some in-situ measurement of the SIMBA campaign, the total freeboards of 6 Operation Ice Bridge (OIB) missions and ICESat-2 total freeboards. Over 2003–2020, the global mean radar freeboard decreased by about −14% per decade and the SIT and SIV by about −10% per decade (considering a snow depth climatology). This is marked by a slight increase through 2015, which is directly followed by a strong decrease in 2016. Thereafter, freeboards generally remained low and even continued to decrease in some regions such as the Weddell sea. Considering the 2013–2020 period, for which the ASD data are available, radar freeboards and SIT decreased by about −40% per decade. The SIV decreased by about −60% per decade. After 2016, the low SIT values contrast with the sea ice extent that has rather increased again, reaching near-average values in winter 2020. The regional analysis underlines that such thinning (from 2016) occurs in all regions except the Amundsen-Bellingshausen sea sector. Meanwhile, we ...
format Article in Journal/Newspaper
author Florent Garnier
Marion Bocquet
Sara Fleury
Jérôme Bouffard
Michel Tsamados
Frédérique Remy
Gilles Garric
Aliette Chenal
author_facet Florent Garnier
Marion Bocquet
Sara Fleury
Jérôme Bouffard
Michel Tsamados
Frédérique Remy
Gilles Garric
Aliette Chenal
author_sort Florent Garnier
title Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020
title_short Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020
title_full Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020
title_fullStr Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020
title_full_unstemmed Latest Altimetry-Based Sea Ice Freeboard and Volume Inter-Annual Variability in the Antarctic over 2003–2020
title_sort latest altimetry-based sea ice freeboard and volume inter-annual variability in the antarctic over 2003–2020
publisher MDPI AG
publishDate 2022
url https://doi.org/10.3390/rs14194741
https://doaj.org/article/43636e28ad914eec8e3419f8ab7dbcd0
geographic Antarctic
The Antarctic
Weddell Sea
Bellingshausen Sea
Weddell
geographic_facet Antarctic
The Antarctic
Weddell Sea
Bellingshausen Sea
Weddell
genre Antarc*
Antarctic
Bellingshausen Sea
Sea ice
Weddell Sea
genre_facet Antarc*
Antarctic
Bellingshausen Sea
Sea ice
Weddell Sea
op_source Remote Sensing, Vol 14, Iss 4741, p 4741 (2022)
op_relation https://www.mdpi.com/2072-4292/14/19/4741
https://doaj.org/toc/2072-4292
doi:10.3390/rs14194741
2072-4292
https://doaj.org/article/43636e28ad914eec8e3419f8ab7dbcd0
op_doi https://doi.org/10.3390/rs14194741
container_title Remote Sensing
container_volume 14
container_issue 19
container_start_page 4741
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