Arctic Sea Ice Freeboard Retrieval from Envisat Altimetry Data

Arctic sea ice variations are sensitive to Arctic environmental changes and global changes. Freeboard and thickness are two important parameters in sea ice change research. Satellite altimetry can provide long-time and large-scale sea ice monitoring. We estimated the Arctic sea ice freeboard and its...

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Published in:Remote Sensing
Main Authors: Shengkai Zhang, Yue Xuan, Jiaxing Li, Tong Geng, Xiao Li, Feng Xiao
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2021
Subjects:
Q
Online Access:https://doi.org/10.3390/rs13081414
https://doaj.org/article/56c9ce90a81f4cea97cb8aa43e03244e
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spelling ftdoajarticles:oai:doaj.org/article:56c9ce90a81f4cea97cb8aa43e03244e 2023-05-15T14:40:07+02:00 Arctic Sea Ice Freeboard Retrieval from Envisat Altimetry Data Shengkai Zhang Yue Xuan Jiaxing Li Tong Geng Xiao Li Feng Xiao 2021-04-01T00:00:00Z https://doi.org/10.3390/rs13081414 https://doaj.org/article/56c9ce90a81f4cea97cb8aa43e03244e EN eng MDPI AG https://www.mdpi.com/2072-4292/13/8/1414 https://doaj.org/toc/2072-4292 doi:10.3390/rs13081414 2072-4292 https://doaj.org/article/56c9ce90a81f4cea97cb8aa43e03244e Remote Sensing, Vol 13, Iss 1414, p 1414 (2021) Arctic sea ice freeboard Envisat Science Q article 2021 ftdoajarticles https://doi.org/10.3390/rs13081414 2022-12-31T04:00:28Z Arctic sea ice variations are sensitive to Arctic environmental changes and global changes. Freeboard and thickness are two important parameters in sea ice change research. Satellite altimetry can provide long-time and large-scale sea ice monitoring. We estimated the Arctic sea ice freeboard and its variations for the period from 2002 to 2012 from Envisat satellite altimetry data. To remove geoid undulations, we reprocessed the Envisat data using a newly developed mean sea surface (MSS) model, named DTU18. Residuals in the static geoid were removed by using the moving average technique. We then determined the local sea surface height and sea ice freeboard from the Envisat elevation profiles. We validated our freeboard estimates using two radar freeboard products from the European Space Agency (ESA) Climate Change Initiative (CCI) and the Alfred Wegener Institute (AWI), as well as the Operation IceBridge (OIB) sea ice freeboard product. The overall differences between our estimates and the CCI and AWI data were 0.11 ± 0.14 m and 0.12 ± 0.14 m, respectively. Our estimates show good agreement with the three products for areas of freeboard larger than 0.2 m and smaller than 0.3 m. For areas of freeboard larger than 0.3 m, our estimates correlate better with OIB freeboard than with CCI and AWI. The variations in the Arctic sea ice thickness are discussed. The ice freeboard reached its minimum in 2008 during the research period. Sharp decreases were found in the winters of 2005 and 2007. Article in Journal/Newspaper Arctic Climate change Sea ice Directory of Open Access Journals: DOAJ Articles Arctic Remote Sensing 13 8 1414
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Arctic
sea ice
freeboard
Envisat
Science
Q
spellingShingle Arctic
sea ice
freeboard
Envisat
Science
Q
Shengkai Zhang
Yue Xuan
Jiaxing Li
Tong Geng
Xiao Li
Feng Xiao
Arctic Sea Ice Freeboard Retrieval from Envisat Altimetry Data
topic_facet Arctic
sea ice
freeboard
Envisat
Science
Q
description Arctic sea ice variations are sensitive to Arctic environmental changes and global changes. Freeboard and thickness are two important parameters in sea ice change research. Satellite altimetry can provide long-time and large-scale sea ice monitoring. We estimated the Arctic sea ice freeboard and its variations for the period from 2002 to 2012 from Envisat satellite altimetry data. To remove geoid undulations, we reprocessed the Envisat data using a newly developed mean sea surface (MSS) model, named DTU18. Residuals in the static geoid were removed by using the moving average technique. We then determined the local sea surface height and sea ice freeboard from the Envisat elevation profiles. We validated our freeboard estimates using two radar freeboard products from the European Space Agency (ESA) Climate Change Initiative (CCI) and the Alfred Wegener Institute (AWI), as well as the Operation IceBridge (OIB) sea ice freeboard product. The overall differences between our estimates and the CCI and AWI data were 0.11 ± 0.14 m and 0.12 ± 0.14 m, respectively. Our estimates show good agreement with the three products for areas of freeboard larger than 0.2 m and smaller than 0.3 m. For areas of freeboard larger than 0.3 m, our estimates correlate better with OIB freeboard than with CCI and AWI. The variations in the Arctic sea ice thickness are discussed. The ice freeboard reached its minimum in 2008 during the research period. Sharp decreases were found in the winters of 2005 and 2007.
format Article in Journal/Newspaper
author Shengkai Zhang
Yue Xuan
Jiaxing Li
Tong Geng
Xiao Li
Feng Xiao
author_facet Shengkai Zhang
Yue Xuan
Jiaxing Li
Tong Geng
Xiao Li
Feng Xiao
author_sort Shengkai Zhang
title Arctic Sea Ice Freeboard Retrieval from Envisat Altimetry Data
title_short Arctic Sea Ice Freeboard Retrieval from Envisat Altimetry Data
title_full Arctic Sea Ice Freeboard Retrieval from Envisat Altimetry Data
title_fullStr Arctic Sea Ice Freeboard Retrieval from Envisat Altimetry Data
title_full_unstemmed Arctic Sea Ice Freeboard Retrieval from Envisat Altimetry Data
title_sort arctic sea ice freeboard retrieval from envisat altimetry data
publisher MDPI AG
publishDate 2021
url https://doi.org/10.3390/rs13081414
https://doaj.org/article/56c9ce90a81f4cea97cb8aa43e03244e
geographic Arctic
geographic_facet Arctic
genre Arctic
Climate change
Sea ice
genre_facet Arctic
Climate change
Sea ice
op_source Remote Sensing, Vol 13, Iss 1414, p 1414 (2021)
op_relation https://www.mdpi.com/2072-4292/13/8/1414
https://doaj.org/toc/2072-4292
doi:10.3390/rs13081414
2072-4292
https://doaj.org/article/56c9ce90a81f4cea97cb8aa43e03244e
op_doi https://doi.org/10.3390/rs13081414
container_title Remote Sensing
container_volume 13
container_issue 8
container_start_page 1414
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