SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave propagation models
Abstract 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...
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ftdoajarticles:oai:doaj.org/article:a1df80e0355142429a9ad28cb1ebe46f 2023-05-15T13:41:22+02:00 SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave propagation models Giacomo De Carolis Piero Olla Francesca De Santi 2021-02-01T00:00:00Z https://doi.org/10.1038/s41598-021-82228-x https://doaj.org/article/a1df80e0355142429a9ad28cb1ebe46f EN eng Nature Portfolio https://doi.org/10.1038/s41598-021-82228-x https://doaj.org/toc/2045-2322 doi:10.1038/s41598-021-82228-x 2045-2322 https://doaj.org/article/a1df80e0355142429a9ad28cb1ebe46f Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021) Medicine R Science Q article 2021 ftdoajarticles https://doi.org/10.1038/s41598-021-82228-x 2022-12-31T07:18:20Z Abstract 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. Article in Journal/Newspaper Antarc* Antarctica Arctic Beaufort Sea Sea ice Weddell Sea Directory of Open Access Journals: DOAJ Articles 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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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
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English |
topic |
Medicine R Science Q |
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Medicine R Science Q Giacomo De Carolis Piero Olla Francesca De Santi SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave propagation models |
topic_facet |
Medicine R Science Q |
description |
Abstract 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 |
Article in Journal/Newspaper |
author |
Giacomo De Carolis Piero Olla Francesca De Santi |
author_facet |
Giacomo De Carolis Piero Olla Francesca De Santi |
author_sort |
Giacomo De Carolis |
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 Portfolio |
publishDate |
2021 |
url |
https://doi.org/10.1038/s41598-021-82228-x https://doaj.org/article/a1df80e0355142429a9ad28cb1ebe46f |
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 |
Scientific Reports, Vol 11, Iss 1, Pp 1-14 (2021) |
op_relation |
https://doi.org/10.1038/s41598-021-82228-x https://doaj.org/toc/2045-2322 doi:10.1038/s41598-021-82228-x 2045-2322 https://doaj.org/article/a1df80e0355142429a9ad28cb1ebe46f |
op_doi |
https://doi.org/10.1038/s41598-021-82228-x |
container_title |
Scientific Reports |
container_volume |
11 |
container_issue |
1 |
_version_ |
1766149905478320128 |