A new tracking algorithm for sea ice age distribution estimation

Anton Andreevich Korosov*, Pierre Rampal, Leif Toudal Pedersen, Roberto Saldo, Yufang Ye, Georg Heygster, Thomas Lavergne, Signe Aaboe, Fanny Girard-Ardhuin

*Corresponding author for this work

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Abstract

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.
Original languageEnglish
JournalCryosphere
Volume12
Issue number6
Pages (from-to)2073-2085
Number of pages13
ISSN1994-0416
DOIs
Publication statusPublished - 2018

Bibliographical note

© Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License.

Cite this

Korosov, A. A., Rampal, P., Pedersen, L. T., Saldo, R., Ye, Y., Heygster, G., ... Girard-Ardhuin, F. (2018). A new tracking algorithm for sea ice age distribution estimation. Cryosphere, 12(6), 2073-2085. https://doi.org/10.5194/tc-12-2073-2018
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. In: Cryosphere. 2018 ; Vol. 12, No. 6. pp. 2073-2085.
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abstract = "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.",
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Korosov, AA, Rampal, P, Pedersen, LT, 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

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.

In: Cryosphere, Vol. 12, No. 6, 2018, p. 2073-2085.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - A new tracking algorithm for sea ice age distribution estimation

AU - Korosov, Anton Andreevich

AU - Rampal, Pierre

AU - Pedersen, Leif Toudal

AU - Saldo, Roberto

AU - Ye, Yufang

AU - Heygster, Georg

AU - Lavergne, Thomas

AU - Aaboe, Signe

AU - Girard-Ardhuin, Fanny

N1 - © Author(s) 2018. This work is distributed under the Creative Commons Attribution 4.0 License.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

U2 - 10.5194/tc-12-2073-2018

DO - 10.5194/tc-12-2073-2018

M3 - Journal article

VL - 12

SP - 2073

EP - 2085

JO - Cryosphere

JF - Cryosphere

SN - 1994-0416

IS - 6

ER -