SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave 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. Investigations to determine how an increase in GPI is affecting the climate in the far n...
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Online Access: | https://dx.doi.org/10.48550/arxiv.2007.15639 https://arxiv.org/abs/2007.15639 |
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ftdatacite:10.48550/arxiv.2007.15639 2023-05-15T13:47:43+02:00 SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave models De Carolis, Giacomo Olla, Piero De Santi, Francesca 2020 https://dx.doi.org/10.48550/arxiv.2007.15639 https://arxiv.org/abs/2007.15639 unknown arXiv arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ Atmospheric and Oceanic Physics physics.ao-ph Fluid Dynamics physics.flu-dyn FOS Physical sciences Article CreativeWork article Preprint 2020 ftdatacite https://doi.org/10.48550/arxiv.2007.15639 2022-03-10T15:34:37Z 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. Investigations to determine how an increase in GPI is affecting the climate in the far north and globally, require specific tools to monitor the GPI's thickness distribution. Directional wave spectra from satellite SAR imagery are used to determine the change in wave dispersion as a wave train enters GPI fields. The ice cover thickness is then estimated by fitting the dispersion data with two models of wave propagation in ice cover ocean: the Keller's model and the close-packing (CP) model. For both models, an empirical constitutive equation for GPI viscosity as a function of the ice thickness is derived and discussed. Examples of GPI thickness retrievals are shown for 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 the available local samplings. Article in Journal/Newspaper Antarc* Antarctica Arctic Beaufort Sea Sea ice Weddell Sea DataCite Metadata Store (German National Library of Science and Technology) Arctic Pancake ENVELOPE(-55.815,-55.815,52.600,52.600) Weddell Weddell Sea |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Atmospheric and Oceanic Physics physics.ao-ph Fluid Dynamics physics.flu-dyn FOS Physical sciences |
spellingShingle |
Atmospheric and Oceanic Physics physics.ao-ph Fluid Dynamics physics.flu-dyn FOS Physical sciences De Carolis, Giacomo Olla, Piero De Santi, Francesca SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave models |
topic_facet |
Atmospheric and Oceanic Physics physics.ao-ph Fluid Dynamics physics.flu-dyn FOS Physical sciences |
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. Investigations to determine how an increase in GPI is affecting the climate in the far north and globally, require specific tools to monitor the GPI's thickness distribution. Directional wave spectra from satellite SAR imagery are used to determine the change in wave dispersion as a wave train enters GPI fields. The ice cover thickness is then estimated by fitting the dispersion data with two models of wave propagation in ice cover ocean: the Keller's model and the close-packing (CP) model. For both models, an empirical constitutive equation for GPI viscosity as a function of the ice thickness is derived and discussed. Examples of GPI thickness retrievals are shown for 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 the available local samplings. |
format |
Article in Journal/Newspaper |
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 models |
title_short |
SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave models |
title_full |
SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave models |
title_fullStr |
SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave models |
title_full_unstemmed |
SAR image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave models |
title_sort |
sar image wave spectra to retrieve the thickness of grease-pancake sea ice using viscous wave models |
publisher |
arXiv |
publishDate |
2020 |
url |
https://dx.doi.org/10.48550/arxiv.2007.15639 https://arxiv.org/abs/2007.15639 |
long_lat |
ENVELOPE(-55.815,-55.815,52.600,52.600) |
geographic |
Arctic Pancake Weddell Weddell Sea |
geographic_facet |
Arctic 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_rights |
arXiv.org perpetual, non-exclusive license http://arxiv.org/licenses/nonexclusive-distrib/1.0/ |
op_doi |
https://doi.org/10.48550/arxiv.2007.15639 |
_version_ |
1766247753300574208 |