Articles | Volume 13, issue 2
https://doi.org/10.5194/tc-13-451-2019
https://doi.org/10.5194/tc-13-451-2019
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

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Charles Gignac on behalf of the Authors (17 Dec 2018)  Author's response 
ED: Publish subject to minor revisions (review by editor) (02 Jan 2019) by John Yackel
ED: Publish as is (16 Jan 2019) by John Yackel
AR by Charles Gignac on behalf of the Authors (25 Jan 2019)
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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.