Articles | Volume 12, issue 6
https://doi.org/10.5194/tc-12-2073-2018
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, Pierre Rampal, Leif Toudal Pedersen, Roberto Saldo, Yufang Ye, Georg Heygster, Thomas Lavergne, Signe Aaboe, and Fanny Girard-Ardhuin

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Cited articles

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Brodzik, M. J., Billingsley, B., Haran, T., Raup, B., and Savoie, M. H.: EASE-Grid 2.0: Incremental but Significant Improvements for Earth-Gridded Data Sets, ISPRS Int. Geo.-Inf., 1, 32–45, https://doi.org/10.3390/ijgi1010032, 2012. a, b
Fowler, C., Emery, W. J., and Maslanik, J.: Satellite-derived evolution of Arctic sea ice age: October 1978 to March 2003, IEEE Geosci. Remote S., 1, 71–74, https://doi.org/10.1109/LGRS.2004.824741, 2004. a, b
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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.