Articles | Volume 12, issue 6
The Cryosphere, 12, 2073–2085, 2018
https://doi.org/10.5194/tc-12-2073-2018
The Cryosphere, 12, 2073–2085, 2018
https://doi.org/10.5194/tc-12-2073-2018

Research article 15 Jun 2018

Research article | 15 Jun 2018

A new tracking algorithm for sea ice age distribution estimation

Anton Andreevich Korosov et al.

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Cited articles

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Haykin, S.: Neural Networks: A Comprehensive Foundation, Prentice Hall PTR, upper Saddle River, NJ, USA, 2nd edn., 1998. a
Korosov, A. A. and Rampal, P.: Arctic Sea Ice Age Distribution, available at: http://thredds.nersc.no/thredds/arcticData/esa-cci-sea-ice-age.html, last access: 13 June 2018. a
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Short summary
A new algorithm for estimating sea ice age in the Arctic is presented. The algorithm accounts for motion, deformation, melting and freezing of sea ice and uses daily sea ice drift and sea ice concentration products. The major advantage of the new algorithm is the ability to generate individual ice age fractions in each pixel or, in other words, to provide a frequency distribution of the ice age. Multi-year ice concentration can be computed as a sum of all ice fractions older than 1 year.