Articles | Volume 17, issue 2
https://doi.org/10.5194/essd-17-423-2025
https://doi.org/10.5194/essd-17-423-2025
Data description paper
 | 
05 Feb 2025
Data description paper |  | 05 Feb 2025

A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS)

Mathieu Plante, Jean-François Lemieux, L. Bruno Tremblay, Amélie Bouchat, Damien Ringeisen, Philippe Blain, Stephen Howell, Mike Brady, Alexander S. Komarov, Béatrice Duval, Lekima Yakuden, and Frédérique Labelle

Data sets

Sea ice deformation and rotation rates (SIDRR) from the ECCC-ASITS Mathieu Plante et al. https://doi.org/10.5281/zenodo.13936609

Model code and software

SIDRRpy: a python utility to read and analyse the SIDRR dataset Mathieu Plante et al. https://doi.org/10.5281/zenodo.13936712

SIDRR production code (v1.0) Mathieu Plante et al. https://doi.org/10.5281/zenodo.14783107

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Short summary
Sea ice forms a thin boundary between the ocean and the atmosphere, with complex, crust-like dynamics and ever-changing networks of sea ice leads and ridges. Statistics of these dynamical features are often used to evaluate sea ice models. Here, we present a new pan-Arctic dataset of sea ice deformations derived from satellite imagery, from 1 September 2017 to 31 August 2023. We discuss the dataset coverage and some limitations associated with uncertainties in the computed values.
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