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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Published in:The Cryosphere
Main Authors: Korosov, Anton Andreevich, Rampal, Pierre, Pedersen, Leif Toudal, Saldo, Roberto, Ye, Yufang, Heygster, Georg, Lavergne, Thomas, Aaboe, Signe, Girard-Ardhuin, Fanny
Format: Article in Journal/Newspaper
Language:English
Published: 2018
Subjects:
Online Access:https://orbit.dtu.dk/en/publications/f1854a6e-6f53-4b83-a270-1a0d5bacfa7a
https://doi.org/10.5194/tc-12-2073-2018
https://backend.orbit.dtu.dk/ws/files/150215513/tc_12_2073_2018.pdf
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spelling ftdtupubl:oai:pure.atira.dk:publications/f1854a6e-6f53-4b83-a270-1a0d5bacfa7a 2024-05-19T07:44:07+00:00 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 application/pdf https://orbit.dtu.dk/en/publications/f1854a6e-6f53-4b83-a270-1a0d5bacfa7a https://doi.org/10.5194/tc-12-2073-2018 https://backend.orbit.dtu.dk/ws/files/150215513/tc_12_2073_2018.pdf eng eng https://orbit.dtu.dk/en/publications/f1854a6e-6f53-4b83-a270-1a0d5bacfa7a info:eu-repo/semantics/openAccess Korosov , A A , Rampal , P , Pedersen , L T , Saldo , R , Ye , Y , Heygster , G , Lavergne , T , Aaboe , S & Girard-Ardhuin , F 2018 , ' A new tracking algorithm for sea ice age distribution estimation ' , Cryosphere , vol. 12 , no. 6 , pp. 2073-2085 . https://doi.org/10.5194/tc-12-2073-2018 article 2018 ftdtupubl https://doi.org/10.5194/tc-12-2073-2018 2024-05-01T00:24:54Z 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 Technical University of Denmark: DTU Orbit The Cryosphere 12 6 2073 2085
institution Open Polar
collection Technical University of Denmark: DTU Orbit
op_collection_id ftdtupubl
language English
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
spellingShingle 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
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
publishDate 2018
url https://orbit.dtu.dk/en/publications/f1854a6e-6f53-4b83-a270-1a0d5bacfa7a
https://doi.org/10.5194/tc-12-2073-2018
https://backend.orbit.dtu.dk/ws/files/150215513/tc_12_2073_2018.pdf
genre National Snow and Ice Data Center
Sea ice
genre_facet National Snow and Ice Data Center
Sea ice
op_source Korosov , A A , Rampal , P , Pedersen , L T , Saldo , R , Ye , Y , Heygster , G , Lavergne , T , Aaboe , S & Girard-Ardhuin , F 2018 , ' A new tracking algorithm for sea ice age distribution estimation ' , Cryosphere , vol. 12 , no. 6 , pp. 2073-2085 . https://doi.org/10.5194/tc-12-2073-2018
op_relation https://orbit.dtu.dk/en/publications/f1854a6e-6f53-4b83-a270-1a0d5bacfa7a
op_rights info:eu-repo/semantics/openAccess
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
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