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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Autores principales:	Giacomo De Carolis, Piero Olla, Francesca De Santi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/a1df80e0355142429a9ad28cb1ebe46f
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spelling	oai:doaj.org-article:a1df80e0355142429a9ad28cb1ebe46f2021-12-02T14:06:25ZSAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave propagation models10.1038/s41598-021-82228-x2045-2322https://doaj.org/article/a1df80e0355142429a9ad28cb1ebe46f2021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82228-xhttps://doaj.org/toc/2045-2322Abstract 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.Giacomo De CarolisPiero OllaFrancesca De SantiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	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
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
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://doaj.org/article/a1df80e0355142429a9ad28cb1ebe46f
work_keys_str_mv	AT giacomodecarolis sarimagewavespectratoretrievethethicknessofgreasepancakeseaiceusingviscouswavepropagationmodels AT pieroolla sarimagewavespectratoretrievethethicknessofgreasepancakeseaiceusingviscouswavepropagationmodels AT francescadesanti sarimagewavespectratoretrievethethicknessofgreasepancakeseaiceusingviscouswavepropagationmodels
_version_	1718392039222018048

SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave propagation models

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