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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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 |
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Open Polar |
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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 |
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13 |
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8 |
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1414 |
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