Erroneous sea-ice concentration retrieval in the East Antarctic
Large discrepancies have been observed between satellite-derived sea-ice concentrations(IC) from passive microwave remote sensing and those derived from optical images at several locations in the East Antarctic, between February and April 2014. These artefacts, that resemble polynyas in the IC maps,...
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Cambridge University Press
2018
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ftdoajarticles:oai:doaj.org/article:9dfc29868e3746f6b961dba358477bfe 2023-05-15T13:29:36+02:00 Erroneous sea-ice concentration retrieval in the East Antarctic Hoi Ming Lam Gunnar Spreen Georg Heygster Christian Melsheimer Neal W. Young 2018-07-01T00:00:00Z https://doi.org/10.1017/aog.2018.1 https://doaj.org/article/9dfc29868e3746f6b961dba358477bfe EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0260305518000010/type/journal_article https://doaj.org/toc/0260-3055 https://doaj.org/toc/1727-5644 doi:10.1017/aog.2018.1 0260-3055 1727-5644 https://doaj.org/article/9dfc29868e3746f6b961dba358477bfe Annals of Glaciology, Vol 59, Pp 201-212 (2018) atmosphere/ice/ocean interactions remote sensing sea ice sea-ice geophysics Meteorology. Climatology QC851-999 article 2018 ftdoajarticles https://doi.org/10.1017/aog.2018.1 2023-03-12T01:31:57Z Large discrepancies have been observed between satellite-derived sea-ice concentrations(IC) from passive microwave remote sensing and those derived from optical images at several locations in the East Antarctic, between February and April 2014. These artefacts, that resemble polynyas in the IC maps, appear in areas where optical satellite data show that there is landfast sea ice. The IC datasets and the corresponding retrieval algorithms are investigated together with microwave brightness temperature, air temperature, snowfall and bathymetry to understand the failure of the IC retrieval. The artefacts are the result of the application of weather filters in retrieval algorithms. These filters use the 37 and 19 GHz channels to correct for atmospheric effects on the retrieval. These channels show significant departures from typical ranges when the artefacts occur. A melt–refreeze cycle with associated snow metamorphism is proposed as the most likely cause. Together, the areas of the artefacts account for up to 0.5% of the Antarctic sea-ice area and thus cause a bias in sea-IC time series. In addition, erroneous sea ICs can adversely affect shipping operations. Article in Journal/Newspaper Annals of Glaciology Antarc* Antarctic Sea ice Directory of Open Access Journals: DOAJ Articles Antarctic The Antarctic Annals of Glaciology 59 76pt2 201 212 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
atmosphere/ice/ocean interactions remote sensing sea ice sea-ice geophysics Meteorology. Climatology QC851-999 |
spellingShingle |
atmosphere/ice/ocean interactions remote sensing sea ice sea-ice geophysics Meteorology. Climatology QC851-999 Hoi Ming Lam Gunnar Spreen Georg Heygster Christian Melsheimer Neal W. Young Erroneous sea-ice concentration retrieval in the East Antarctic |
topic_facet |
atmosphere/ice/ocean interactions remote sensing sea ice sea-ice geophysics Meteorology. Climatology QC851-999 |
description |
Large discrepancies have been observed between satellite-derived sea-ice concentrations(IC) from passive microwave remote sensing and those derived from optical images at several locations in the East Antarctic, between February and April 2014. These artefacts, that resemble polynyas in the IC maps, appear in areas where optical satellite data show that there is landfast sea ice. The IC datasets and the corresponding retrieval algorithms are investigated together with microwave brightness temperature, air temperature, snowfall and bathymetry to understand the failure of the IC retrieval. The artefacts are the result of the application of weather filters in retrieval algorithms. These filters use the 37 and 19 GHz channels to correct for atmospheric effects on the retrieval. These channels show significant departures from typical ranges when the artefacts occur. A melt–refreeze cycle with associated snow metamorphism is proposed as the most likely cause. Together, the areas of the artefacts account for up to 0.5% of the Antarctic sea-ice area and thus cause a bias in sea-IC time series. In addition, erroneous sea ICs can adversely affect shipping operations. |
format |
Article in Journal/Newspaper |
author |
Hoi Ming Lam Gunnar Spreen Georg Heygster Christian Melsheimer Neal W. Young |
author_facet |
Hoi Ming Lam Gunnar Spreen Georg Heygster Christian Melsheimer Neal W. Young |
author_sort |
Hoi Ming Lam |
title |
Erroneous sea-ice concentration retrieval in the East Antarctic |
title_short |
Erroneous sea-ice concentration retrieval in the East Antarctic |
title_full |
Erroneous sea-ice concentration retrieval in the East Antarctic |
title_fullStr |
Erroneous sea-ice concentration retrieval in the East Antarctic |
title_full_unstemmed |
Erroneous sea-ice concentration retrieval in the East Antarctic |
title_sort |
erroneous sea-ice concentration retrieval in the east antarctic |
publisher |
Cambridge University Press |
publishDate |
2018 |
url |
https://doi.org/10.1017/aog.2018.1 https://doaj.org/article/9dfc29868e3746f6b961dba358477bfe |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Annals of Glaciology Antarc* Antarctic Sea ice |
genre_facet |
Annals of Glaciology Antarc* Antarctic Sea ice |
op_source |
Annals of Glaciology, Vol 59, Pp 201-212 (2018) |
op_relation |
https://www.cambridge.org/core/product/identifier/S0260305518000010/type/journal_article https://doaj.org/toc/0260-3055 https://doaj.org/toc/1727-5644 doi:10.1017/aog.2018.1 0260-3055 1727-5644 https://doaj.org/article/9dfc29868e3746f6b961dba358477bfe |
op_doi |
https://doi.org/10.1017/aog.2018.1 |
container_title |
Annals of Glaciology |
container_volume |
59 |
container_issue |
76pt2 |
container_start_page |
201 |
op_container_end_page |
212 |
_version_ |
1766001419876302848 |