A combined remote sensing/modelling approach for the retrieval of sea ice thickness in East Antarctica ...

Sea ice thickness is an essential parameter for the estimation of energy, mass and momentum exchange and sea ice mass balance in the Southern Hemisphere. In situ methods of estimating the ice thickness distribution cannot provide the necessary areal coverage, while the coarse resolution of numerical...

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Main Author: Hungria, Clemente Soares
Format: Thesis
Language:unknown
Published: University Of Tasmania 2023
Subjects:
Online Access:https://dx.doi.org/10.25959/23228654.v1
https://figshare.utas.edu.au/articles/thesis/A_combined_remote_sensing_modelling_approach_for_the_retrieval_of_sea_ice_thickness_in_East_Antarctica/23228654/1
id ftdatacite:10.25959/23228654.v1
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spelling ftdatacite:10.25959/23228654.v1 2023-06-11T04:07:13+02:00 A combined remote sensing/modelling approach for the retrieval of sea ice thickness in East Antarctica ... Hungria, Clemente Soares 2023 https://dx.doi.org/10.25959/23228654.v1 https://figshare.utas.edu.au/articles/thesis/A_combined_remote_sensing_modelling_approach_for_the_retrieval_of_sea_ice_thickness_in_East_Antarctica/23228654/1 unknown University Of Tasmania https://dx.doi.org/10.25959/23228654 In Copyright http://rightsstatements.org/vocab/InC/1.0/ article-journal Text ScholarlyArticle Thesis 2023 ftdatacite https://doi.org/10.25959/23228654.v110.25959/23228654 2023-06-01T12:11:07Z Sea ice thickness is an essential parameter for the estimation of energy, mass and momentum exchange and sea ice mass balance in the Southern Hemisphere. In situ methods of estimating the ice thickness distribution cannot provide the necessary areal coverage, while the coarse resolution of numerical models is unsuitable for parameterising small-scale processes. Remote sensing technology has the potential to address these issues of areal coverage and spatial resolution. A procedure for estimating the distribution of sea ice thickness using remote sensing data from the Advanced Very High Resolution Radiometer sensor is presented. This procedure is based on the method described by Yu and Rothrock [1996] for Arctic sea ice and relies upon the assumptions a) that the surface temperature of thin sea ice is closely related to its thickness and b) that there is a linear vertical temperature gradient across the recently-formed sea ice. Considerable modifications have been made to the Yu and Rothrock method in order ... Thesis Antarc* Antarctica Arctic East Antarctica Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic East Antarctica
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description Sea ice thickness is an essential parameter for the estimation of energy, mass and momentum exchange and sea ice mass balance in the Southern Hemisphere. In situ methods of estimating the ice thickness distribution cannot provide the necessary areal coverage, while the coarse resolution of numerical models is unsuitable for parameterising small-scale processes. Remote sensing technology has the potential to address these issues of areal coverage and spatial resolution. A procedure for estimating the distribution of sea ice thickness using remote sensing data from the Advanced Very High Resolution Radiometer sensor is presented. This procedure is based on the method described by Yu and Rothrock [1996] for Arctic sea ice and relies upon the assumptions a) that the surface temperature of thin sea ice is closely related to its thickness and b) that there is a linear vertical temperature gradient across the recently-formed sea ice. Considerable modifications have been made to the Yu and Rothrock method in order ...
format Thesis
author Hungria, Clemente Soares
spellingShingle Hungria, Clemente Soares
A combined remote sensing/modelling approach for the retrieval of sea ice thickness in East Antarctica ...
author_facet Hungria, Clemente Soares
author_sort Hungria, Clemente Soares
title A combined remote sensing/modelling approach for the retrieval of sea ice thickness in East Antarctica ...
title_short A combined remote sensing/modelling approach for the retrieval of sea ice thickness in East Antarctica ...
title_full A combined remote sensing/modelling approach for the retrieval of sea ice thickness in East Antarctica ...
title_fullStr A combined remote sensing/modelling approach for the retrieval of sea ice thickness in East Antarctica ...
title_full_unstemmed A combined remote sensing/modelling approach for the retrieval of sea ice thickness in East Antarctica ...
title_sort combined remote sensing/modelling approach for the retrieval of sea ice thickness in east antarctica ...
publisher University Of Tasmania
publishDate 2023
url https://dx.doi.org/10.25959/23228654.v1
https://figshare.utas.edu.au/articles/thesis/A_combined_remote_sensing_modelling_approach_for_the_retrieval_of_sea_ice_thickness_in_East_Antarctica/23228654/1
geographic Arctic
East Antarctica
geographic_facet Arctic
East Antarctica
genre Antarc*
Antarctica
Arctic
East Antarctica
Sea ice
genre_facet Antarc*
Antarctica
Arctic
East Antarctica
Sea ice
op_relation https://dx.doi.org/10.25959/23228654
op_rights In Copyright
http://rightsstatements.org/vocab/InC/1.0/
op_doi https://doi.org/10.25959/23228654.v110.25959/23228654
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