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

doi:https://doi.org/10.5194/tc-12-2073-2018

Articles | Volume 12, issue 6

https://doi.org/10.5194/tc-12-2073-2018

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

https://doi.org/10.5194/tc-12-2073-2018

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

Articles | Volume 12, issue 6

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

Data sets

Arctic Sea Ice Age Distribution A. A. Korosov and P. Rampal http://thredds.nersc.no/thredds/arcticData/esa-cci-sea-ice-age.html

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.