A new tracking algorithm for sea ice age distribution estimation
A new algorithm for estimating sea ice age (SIA) distribution based on the Eulerian advection scheme is presented. The advection scheme accounts for the observed divergence or convergence and freezing or melting of sea ice and predicts consequent generation or loss of new ice. The algorithm uses dai...
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Copernicus Publications
2018
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00005515 2023-05-15T17:14:20+02:00 A new tracking algorithm for sea ice age distribution estimation Korosov, Anton Andreevich Rampal, Pierre Pedersen, Leif Toudal Saldo, Roberto Ye, Yufang Heygster, Georg Lavergne, Thomas Aaboe, Signe Girard-Ardhuin, Fanny 2018-06 electronic https://doi.org/10.5194/tc-12-2073-2018 https://noa.gwlb.de/receive/cop_mods_00005515 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00005472/tc-12-2073-2018.pdf https://tc.copernicus.org/articles/12/2073/2018/tc-12-2073-2018.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-12-2073-2018 https://noa.gwlb.de/receive/cop_mods_00005515 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00005472/tc-12-2073-2018.pdf https://tc.copernicus.org/articles/12/2073/2018/tc-12-2073-2018.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2018 ftnonlinearchiv https://doi.org/10.5194/tc-12-2073-2018 2022-02-08T22:59:29Z A new algorithm for estimating sea ice age (SIA) distribution based on the Eulerian advection scheme is presented. The advection scheme accounts for the observed divergence or convergence and freezing or melting of sea ice and predicts consequent generation or loss of new ice. The algorithm uses daily gridded sea ice drift and sea ice concentration products from the Ocean and Sea Ice Satellite Application Facility. The major advantage of the new algorithm is the ability to generate individual ice age fractions in each pixel of the output product or, in other words, to provide a frequency distribution of the ice age allowing to apply mean, median, weighted average or other statistical measures. Comparison with the National Snow and Ice Data Center SIA product revealed several improvements of the new SIA maps and time series. First, the application of the Eulerian scheme provides smooth distribution of the ice age parameters and prevents product undersampling which may occur when a Lagrangian tracking approach is used. Second, utilization of the new sea ice drift product void of artifacts from EUMETSAT OSI SAF resulted in more accurate and reliable spatial distribution of ice age fractions. Third, constraining SIA computations by the observed sea ice concentration expectedly led to considerable reduction of multi-year ice (MYI) fractions. MYI concentration is computed as a sum of all MYI fractions and compares well to the MYI products based on passive and active microwave and SAR products. Article in Journal/Newspaper National Snow and Ice Data Center Sea ice The Cryosphere Niedersächsisches Online-Archiv NOA The Cryosphere 12 6 2073 2085 |
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Open Polar |
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Niedersächsisches Online-Archiv NOA |
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ftnonlinearchiv |
language |
English |
topic |
article Verlagsveröffentlichung |
spellingShingle |
article Verlagsveröffentlichung Korosov, Anton Andreevich Rampal, Pierre Pedersen, Leif Toudal Saldo, Roberto Ye, Yufang Heygster, Georg Lavergne, Thomas Aaboe, Signe Girard-Ardhuin, Fanny A new tracking algorithm for sea ice age distribution estimation |
topic_facet |
article Verlagsveröffentlichung |
description |
A new algorithm for estimating sea ice age (SIA) distribution based on the Eulerian advection scheme is presented. The advection scheme accounts for the observed divergence or convergence and freezing or melting of sea ice and predicts consequent generation or loss of new ice. The algorithm uses daily gridded sea ice drift and sea ice concentration products from the Ocean and Sea Ice Satellite Application Facility. The major advantage of the new algorithm is the ability to generate individual ice age fractions in each pixel of the output product or, in other words, to provide a frequency distribution of the ice age allowing to apply mean, median, weighted average or other statistical measures. Comparison with the National Snow and Ice Data Center SIA product revealed several improvements of the new SIA maps and time series. First, the application of the Eulerian scheme provides smooth distribution of the ice age parameters and prevents product undersampling which may occur when a Lagrangian tracking approach is used. Second, utilization of the new sea ice drift product void of artifacts from EUMETSAT OSI SAF resulted in more accurate and reliable spatial distribution of ice age fractions. Third, constraining SIA computations by the observed sea ice concentration expectedly led to considerable reduction of multi-year ice (MYI) fractions. MYI concentration is computed as a sum of all MYI fractions and compares well to the MYI products based on passive and active microwave and SAR products. |
format |
Article in Journal/Newspaper |
author |
Korosov, Anton Andreevich Rampal, Pierre Pedersen, Leif Toudal Saldo, Roberto Ye, Yufang Heygster, Georg Lavergne, Thomas Aaboe, Signe Girard-Ardhuin, Fanny |
author_facet |
Korosov, Anton Andreevich Rampal, Pierre Pedersen, Leif Toudal Saldo, Roberto Ye, Yufang Heygster, Georg Lavergne, Thomas Aaboe, Signe Girard-Ardhuin, Fanny |
author_sort |
Korosov, Anton Andreevich |
title |
A new tracking algorithm for sea ice age distribution estimation |
title_short |
A new tracking algorithm for sea ice age distribution estimation |
title_full |
A new tracking algorithm for sea ice age distribution estimation |
title_fullStr |
A new tracking algorithm for sea ice age distribution estimation |
title_full_unstemmed |
A new tracking algorithm for sea ice age distribution estimation |
title_sort |
new tracking algorithm for sea ice age distribution estimation |
publisher |
Copernicus Publications |
publishDate |
2018 |
url |
https://doi.org/10.5194/tc-12-2073-2018 https://noa.gwlb.de/receive/cop_mods_00005515 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00005472/tc-12-2073-2018.pdf https://tc.copernicus.org/articles/12/2073/2018/tc-12-2073-2018.pdf |
genre |
National Snow and Ice Data Center Sea ice The Cryosphere |
genre_facet |
National Snow and Ice Data Center Sea ice The Cryosphere |
op_relation |
The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-12-2073-2018 https://noa.gwlb.de/receive/cop_mods_00005515 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00005472/tc-12-2073-2018.pdf https://tc.copernicus.org/articles/12/2073/2018/tc-12-2073-2018.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/tc-12-2073-2018 |
container_title |
The Cryosphere |
container_volume |
12 |
container_issue |
6 |
container_start_page |
2073 |
op_container_end_page |
2085 |
_version_ |
1766071704026611712 |