SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave propagation models
Young sea ice composed of grease and pancake ice (GPI), as well as thin floes, considered to be the most common form of sea ice fringing Antarctica, is now becoming the “new normal” also in the Arctic. A study of the rheological properties of GPI is carried out by comparing the predictions of two vi...
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ftpubmed:oai:pubmedcentral.nih.gov:7851169 2023-05-15T13:46:25+02:00 SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave propagation models De Carolis, Giacomo Olla, Piero De Santi, Francesca 2021-02-01 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7851169/ http://www.ncbi.nlm.nih.gov/pubmed/33526830 https://doi.org/10.1038/s41598-021-82228-x en eng Nature Publishing Group UK http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7851169/ http://www.ncbi.nlm.nih.gov/pubmed/33526830 http://dx.doi.org/10.1038/s41598-021-82228-x © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. CC-BY Sci Rep Article Text 2021 ftpubmed https://doi.org/10.1038/s41598-021-82228-x 2021-02-07T01:52:29Z Young sea ice composed of grease and pancake ice (GPI), as well as thin floes, considered to be the most common form of sea ice fringing Antarctica, is now becoming the “new normal” also in the Arctic. A study of the rheological properties of GPI is carried out by comparing the predictions of two viscous wave propagation models: the Keller model and the close-packing (CP) model, with the observed wave attenuation obtained by SAR image techniques. In order to fit observations, it is shown that describing GPI as a viscous medium requires the adoption of an ice viscosity which increases with the ice thickness. The consequences regarding the possibility of ice thickness retrieval from remote sensing data of wave attenuation are discussed. We provide examples of GPI thickness retrievals from a Sentinel-1 C band SAR image taken in the Beaufort Sea on 1 November 2015, and three CosmoSkyMed X band SAR images taken in the Weddell Sea on March 2019. The estimated GPI thicknesses are consistent with concurrent SMOS measurements and available local samplings. Text Antarc* Antarctica Arctic Beaufort Sea Sea ice Weddell Sea PubMed Central (PMC) Arctic Keller ENVELOPE(-58.406,-58.406,-62.073,-62.073) Pancake ENVELOPE(-55.815,-55.815,52.600,52.600) Weddell Weddell Sea Scientific Reports 11 1 |
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Article De Carolis, Giacomo Olla, Piero De Santi, Francesca SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave propagation models |
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Article |
description |
Young sea ice composed of grease and pancake ice (GPI), as well as thin floes, considered to be the most common form of sea ice fringing Antarctica, is now becoming the “new normal” also in the Arctic. A study of the rheological properties of GPI is carried out by comparing the predictions of two viscous wave propagation models: the Keller model and the close-packing (CP) model, with the observed wave attenuation obtained by SAR image techniques. In order to fit observations, it is shown that describing GPI as a viscous medium requires the adoption of an ice viscosity which increases with the ice thickness. The consequences regarding the possibility of ice thickness retrieval from remote sensing data of wave attenuation are discussed. We provide examples of GPI thickness retrievals from a Sentinel-1 C band SAR image taken in the Beaufort Sea on 1 November 2015, and three CosmoSkyMed X band SAR images taken in the Weddell Sea on March 2019. The estimated GPI thicknesses are consistent with concurrent SMOS measurements and available local samplings. |
format |
Text |
author |
De Carolis, Giacomo Olla, Piero De Santi, Francesca |
author_facet |
De Carolis, Giacomo Olla, Piero De Santi, Francesca |
author_sort |
De Carolis, Giacomo |
title |
SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave propagation models |
title_short |
SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave propagation models |
title_full |
SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave propagation models |
title_fullStr |
SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave propagation models |
title_full_unstemmed |
SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave propagation models |
title_sort |
sar image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave propagation models |
publisher |
Nature Publishing Group UK |
publishDate |
2021 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7851169/ http://www.ncbi.nlm.nih.gov/pubmed/33526830 https://doi.org/10.1038/s41598-021-82228-x |
long_lat |
ENVELOPE(-58.406,-58.406,-62.073,-62.073) ENVELOPE(-55.815,-55.815,52.600,52.600) |
geographic |
Arctic Keller Pancake Weddell Weddell Sea |
geographic_facet |
Arctic Keller Pancake Weddell Weddell Sea |
genre |
Antarc* Antarctica Arctic Beaufort Sea Sea ice Weddell Sea |
genre_facet |
Antarc* Antarctica Arctic Beaufort Sea Sea ice Weddell Sea |
op_source |
Sci Rep |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7851169/ http://www.ncbi.nlm.nih.gov/pubmed/33526830 http://dx.doi.org/10.1038/s41598-021-82228-x |
op_rights |
© The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1038/s41598-021-82228-x |
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Scientific Reports |
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11 |
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