A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS)
<p>Sea ice forms a thin but horizontally extensive boundary between the ocean and the atmosphere and has complex, crust-like dynamics characterized by intermittent sea ice deformations. The heterogeneity and localization of these sea ice deformations are important characteristics of the sea ic...
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Copernicus Publications
2025-02-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/17/423/2025/essd-17-423-2025.pdf |
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| author | M. Plante J.-F. Lemieux L. B. Tremblay A. Bouchat D. Ringeisen D. Ringeisen P. Blain S. Howell M. Brady A. S. Komarov B. Duval L. Yakuden F. Labelle |
| author_facet | M. Plante J.-F. Lemieux L. B. Tremblay A. Bouchat D. Ringeisen D. Ringeisen P. Blain S. Howell M. Brady A. S. Komarov B. Duval L. Yakuden F. Labelle |
| author_sort | M. Plante |
| collection | DOAJ |
| description | <p>Sea ice forms a thin but horizontally extensive boundary between the ocean and the atmosphere and has complex, crust-like dynamics characterized by intermittent sea ice deformations. The heterogeneity and localization of these sea ice deformations are important characteristics of the sea ice cover that can be used to evaluate the performance of dynamical sea ice models against observations across multiple spatial and temporal scales. Here, we present a new pan-Arctic sea ice deformation and rotation rate (SIDRR; <a href="https://doi.org/10.5281/zenodo.13936609">https://doi.org/10.5281/zenodo.13936609</a>, <span class="cit" id="xref_altparen.1"><a href="#bib1.bibx38">Plante et al.</a>, <a href="#bib1.bibx38">2024</a><a href="#bib1.bibx38">a</a></span>) dataset derived from the RADARSAT Constellation Mission (RCM) and Sentinel-1 (S1) synthetic aperture radar (SAR) imagery from 1 September 2017 to 31 August 2023. The SIDRR estimates are derived from contour integrals of triangulated ice motion data, obtained from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS). The SIDRR dataset is not regularized and consists of stacked data from multiple SAR images computed on a range of spatial (4–10 <span class="inline-formula">km</span>) and temporal (0.5–6 <span class="inline-formula">d</span>) scales. It covers the entire Arctic Ocean and all peripheral seas except the Okhotsk Sea. Uncertainties associated with the propagation of tracking errors on the deformation values are included. We show that rectangular patterns of deformation features are visible when the sampled deformation rates are lower than the propagation error. This limits the meaningful information that can be extracted in areas with low SIDRR values but allows for the study of linear kinematic features with a high SIDRR signal-to-noise ratio. The spatial coverage and range of resolutions of the SIDRR dataset provide an interesting opportunity to investigate regional and seasonal variability in sea ice deformation statistics across scales, and these data can also be used to determine metrics for model evaluation.</p> |
| format | Article |
| id | doaj-art-56e6fc9d95ec4e56b31b77cd587324df |
| institution | Kabale University |
| issn | 1866-3508 1866-3516 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Copernicus Publications |
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| series | Earth System Science Data |
| spelling | doaj-art-56e6fc9d95ec4e56b31b77cd587324df2025-02-05T07:23:13ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162025-02-011742343410.5194/essd-17-423-2025A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS)M. Plante0J.-F. Lemieux1L. B. Tremblay2A. Bouchat3D. Ringeisen4D. Ringeisen5P. Blain6S. Howell7M. Brady8A. S. Komarov9B. Duval10L. Yakuden11F. Labelle12Recherche en prévision numérique environnementale, Environment and Climate Change Canada, Dorval, Quebec, CanadaRecherche en prévision numérique environnementale, Environment and Climate Change Canada, Dorval, Quebec, CanadaDepartment of Atmospheric and Oceanic Sciences, McGill University, Montréal, Quebec, CanadaDepartment of Atmospheric and Oceanic Sciences, McGill University, Montréal, Quebec, CanadaDepartment of Atmospheric and Oceanic Sciences, McGill University, Montréal, Quebec, CanadaNASA Goddard Institute for Space Studies, Columbia University, New York, NY, USAService Météorologique Canadien, Environment and Climate Change Canada, Dorval, Quebec, CanadaClimate Research Division, Environment and Climate Change Canada, Toronto, CanadaClimate Research Division, Environment and Climate Change Canada, Toronto, CanadaMeteorological Research Division, Environment and Climate Change Canada, Ottawa, CanadaDepartment of Atmospheric and Oceanic Sciences, McGill University, Montréal, Quebec, CanadaDepartment of Atmospheric and Oceanic Sciences, McGill University, Montréal, Quebec, CanadaRecherche en prévision numérique environnementale, Environment and Climate Change Canada, Dorval, Quebec, Canada<p>Sea ice forms a thin but horizontally extensive boundary between the ocean and the atmosphere and has complex, crust-like dynamics characterized by intermittent sea ice deformations. The heterogeneity and localization of these sea ice deformations are important characteristics of the sea ice cover that can be used to evaluate the performance of dynamical sea ice models against observations across multiple spatial and temporal scales. Here, we present a new pan-Arctic sea ice deformation and rotation rate (SIDRR; <a href="https://doi.org/10.5281/zenodo.13936609">https://doi.org/10.5281/zenodo.13936609</a>, <span class="cit" id="xref_altparen.1"><a href="#bib1.bibx38">Plante et al.</a>, <a href="#bib1.bibx38">2024</a><a href="#bib1.bibx38">a</a></span>) dataset derived from the RADARSAT Constellation Mission (RCM) and Sentinel-1 (S1) synthetic aperture radar (SAR) imagery from 1 September 2017 to 31 August 2023. The SIDRR estimates are derived from contour integrals of triangulated ice motion data, obtained from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS). The SIDRR dataset is not regularized and consists of stacked data from multiple SAR images computed on a range of spatial (4–10 <span class="inline-formula">km</span>) and temporal (0.5–6 <span class="inline-formula">d</span>) scales. It covers the entire Arctic Ocean and all peripheral seas except the Okhotsk Sea. Uncertainties associated with the propagation of tracking errors on the deformation values are included. We show that rectangular patterns of deformation features are visible when the sampled deformation rates are lower than the propagation error. This limits the meaningful information that can be extracted in areas with low SIDRR values but allows for the study of linear kinematic features with a high SIDRR signal-to-noise ratio. The spatial coverage and range of resolutions of the SIDRR dataset provide an interesting opportunity to investigate regional and seasonal variability in sea ice deformation statistics across scales, and these data can also be used to determine metrics for model evaluation.</p>https://essd.copernicus.org/articles/17/423/2025/essd-17-423-2025.pdf |
| spellingShingle | M. Plante J.-F. Lemieux L. B. Tremblay A. Bouchat D. Ringeisen D. Ringeisen P. Blain S. Howell M. Brady A. S. Komarov B. Duval L. Yakuden F. Labelle A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS) Earth System Science Data |
| title | A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS) |
| title_full | A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS) |
| title_fullStr | A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS) |
| title_full_unstemmed | A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS) |
| title_short | A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS) |
| title_sort | sea ice deformation and rotation rate dataset 2017 2023 from the environment and climate change canada automated sea ice tracking system eccc asits |
| url | https://essd.copernicus.org/articles/17/423/2025/essd-17-423-2025.pdf |
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