IcePAC – a probabilistic tool to study sea ice spatio-temporal dynamics: application to the Hudson Bay area

Gignac, Charles; Bernier, Monique; Chokmani, Karem

doi:https://doi.org/10.5194/tc-13-451-2019

Articles | Volume 13, issue 2

https://doi.org/10.5194/tc-13-451-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/tc-13-451-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 13, issue 2

Research article

|

06 Feb 2019

Research article |

| 06 Feb 2019

IcePAC – a probabilistic tool to study sea ice spatio-temporal dynamics: application to the Hudson Bay area

Charles Gignac, Monique Bernier, and Karem Chokmani

Data sets

Ice Pac Interface – Version 1.5 Beta C. Gignac http://icepac.ete.inrs.ca/

Short summary

The IcePAC tool is made to estimate the probabilities of specific sea ice conditions based on historical sea ice concentration time series from the EUMETSAT OSI-409 product (12.5 km grid), modelled using the beta distribution and used to build event probability maps, which have been unavailable until now. Compared to the Canadian ice service atlas, IcePAC showed promising results in the Hudson Bay, paving the way for its usage in other regions of the cryosphere to inform stakeholders' decisions.