Sea ice deformation and rotation rates (SIDRR) from the ECCC-ASITS

Description: This dataset offers pan-Arctic sea ice deformation and rotation rates (SIDRR) computed from Sentinel1 (S1) and the Radarsat Constellation Mission (RCM) Synthetic Aperture Radar (SAR) imagery, based on Sea Ice Motion (SIM) vector outputs from the Environment and Climate Change Canada Aut...

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Main Authors: Plante, Mathieu, Lemieux, Jean-François, Tremblay, L. Bruno, Bouchat, Amélie, Ringeisen, Damien, Blain, Philippe, Howell, Stephen, Brady, Mike, Alexander, Komarov, Duval, Beatrice, Yakuden, Lekima, Labelle, Frédérique
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2024
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Online Access:https://doi.org/10.5281/zenodo.11520803
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spelling ftzenodo:oai:zenodo.org:11520803 2024-09-15T18:02:35+00:00 Sea ice deformation and rotation rates (SIDRR) from the ECCC-ASITS Plante, Mathieu Lemieux, Jean-François Tremblay, L. Bruno Bouchat, Amélie Ringeisen, Damien Blain, Philippe Howell, Stephen Brady, Mike Alexander, Komarov Duval, Beatrice Yakuden, Lekima Labelle, Frédérique 2024-06-07 https://doi.org/10.5281/zenodo.11520803 unknown Zenodo https://doi.org/10.5281/zenodo.11520802 https://doi.org/10.5281/zenodo.11520803 oai:zenodo.org:11520803 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode info:eu-repo/semantics/other 2024 ftzenodo https://doi.org/10.5281/zenodo.1152080310.5281/zenodo.11520802 2024-07-27T00:55:49Z Description: This dataset offers pan-Arctic sea ice deformation and rotation rates (SIDRR) computed from Sentinel1 (S1) and the Radarsat Constellation Mission (RCM) Synthetic Aperture Radar (SAR) imagery, based on Sea Ice Motion (SIM) vector outputs from the Environment and Climate Change Canada Automated Sea Ice tracking System (ECCC-ASITS, Howell et al., 2022). The ASITS produces lists of sea ice motion vectors derived by tracking recognizable features in overlapping pairs of SAR images (Komarov and Barber, 2014). The tracked features from each SAR image pair are triangulated, and the SIDRRs computed using a line integral method (Bouchat et al., 2020, 2022) based on the velocity and start location of each vertex. Format: The raw SIDRR data from multiple SAR images are stacked in daily netcdf output files, based on the acquisition time of the earliest image in the pair. The netcdf files thus include data from variable time and space resolutions depending on the triangulation and images acquisition time, in the ranges of 4 - 20 km and 12 h - 6 days. Each file is named with the convention “SIDRR_YYYYMMDD.nc”. For example, “SIDRR_20210101.nc” contains data from pairs with the first image acquisition time on January 1 st , 2021. Dimension and variable names: Dimensions: n triangle ID number Variables: idpair (n) SAR scene pair ID number ids1 (n) ID of triangle vertex 1 ids2 (n) ID of triangle vertex 2 ids3 (n) ID of triangle vertex 3 start_time Acquisition time, SAR image #1 (hrs since ref. time) end_time Acquisition time, SAR image #2 (hrs since ref. time) start_lat1 Start latitude, tracked vertex 1 (ºN) start_lat2 Start latitude, tracked vertex 2 (ºN) start_lat3 Start latitude, tracked vertex 3 (ºN) start_lon1 Start longitude, tracked vertex 1 (ºE) start_lon2 Start longitude, tracked vertex 2 (ºE) start_lon3 Start longitude, tracked vertex 3 (ºE) end_lat1 End latitude, tracked vertex 1 (ºN) end_lat2 End latitude, tracked vertex 2 (ºN) end_lat3 End latitude, tracked vertex 3 (ºN) end_lon1 End longitude, tracked ... Other/Unknown Material Climate change Sea ice Zenodo
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
description Description: This dataset offers pan-Arctic sea ice deformation and rotation rates (SIDRR) computed from Sentinel1 (S1) and the Radarsat Constellation Mission (RCM) Synthetic Aperture Radar (SAR) imagery, based on Sea Ice Motion (SIM) vector outputs from the Environment and Climate Change Canada Automated Sea Ice tracking System (ECCC-ASITS, Howell et al., 2022). The ASITS produces lists of sea ice motion vectors derived by tracking recognizable features in overlapping pairs of SAR images (Komarov and Barber, 2014). The tracked features from each SAR image pair are triangulated, and the SIDRRs computed using a line integral method (Bouchat et al., 2020, 2022) based on the velocity and start location of each vertex. Format: The raw SIDRR data from multiple SAR images are stacked in daily netcdf output files, based on the acquisition time of the earliest image in the pair. The netcdf files thus include data from variable time and space resolutions depending on the triangulation and images acquisition time, in the ranges of 4 - 20 km and 12 h - 6 days. Each file is named with the convention “SIDRR_YYYYMMDD.nc”. For example, “SIDRR_20210101.nc” contains data from pairs with the first image acquisition time on January 1 st , 2021. Dimension and variable names: Dimensions: n triangle ID number Variables: idpair (n) SAR scene pair ID number ids1 (n) ID of triangle vertex 1 ids2 (n) ID of triangle vertex 2 ids3 (n) ID of triangle vertex 3 start_time Acquisition time, SAR image #1 (hrs since ref. time) end_time Acquisition time, SAR image #2 (hrs since ref. time) start_lat1 Start latitude, tracked vertex 1 (ºN) start_lat2 Start latitude, tracked vertex 2 (ºN) start_lat3 Start latitude, tracked vertex 3 (ºN) start_lon1 Start longitude, tracked vertex 1 (ºE) start_lon2 Start longitude, tracked vertex 2 (ºE) start_lon3 Start longitude, tracked vertex 3 (ºE) end_lat1 End latitude, tracked vertex 1 (ºN) end_lat2 End latitude, tracked vertex 2 (ºN) end_lat3 End latitude, tracked vertex 3 (ºN) end_lon1 End longitude, tracked ...
format Other/Unknown Material
author Plante, Mathieu
Lemieux, Jean-François
Tremblay, L. Bruno
Bouchat, Amélie
Ringeisen, Damien
Blain, Philippe
Howell, Stephen
Brady, Mike
Alexander, Komarov
Duval, Beatrice
Yakuden, Lekima
Labelle, Frédérique
spellingShingle Plante, Mathieu
Lemieux, Jean-François
Tremblay, L. Bruno
Bouchat, Amélie
Ringeisen, Damien
Blain, Philippe
Howell, Stephen
Brady, Mike
Alexander, Komarov
Duval, Beatrice
Yakuden, Lekima
Labelle, Frédérique
Sea ice deformation and rotation rates (SIDRR) from the ECCC-ASITS
author_facet Plante, Mathieu
Lemieux, Jean-François
Tremblay, L. Bruno
Bouchat, Amélie
Ringeisen, Damien
Blain, Philippe
Howell, Stephen
Brady, Mike
Alexander, Komarov
Duval, Beatrice
Yakuden, Lekima
Labelle, Frédérique
author_sort Plante, Mathieu
title Sea ice deformation and rotation rates (SIDRR) from the ECCC-ASITS
title_short Sea ice deformation and rotation rates (SIDRR) from the ECCC-ASITS
title_full Sea ice deformation and rotation rates (SIDRR) from the ECCC-ASITS
title_fullStr Sea ice deformation and rotation rates (SIDRR) from the ECCC-ASITS
title_full_unstemmed Sea ice deformation and rotation rates (SIDRR) from the ECCC-ASITS
title_sort sea ice deformation and rotation rates (sidrr) from the eccc-asits
publisher Zenodo
publishDate 2024
url https://doi.org/10.5281/zenodo.11520803
genre Climate change
Sea ice
genre_facet Climate change
Sea ice
op_relation https://doi.org/10.5281/zenodo.11520802
https://doi.org/10.5281/zenodo.11520803
oai:zenodo.org:11520803
op_rights info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.1152080310.5281/zenodo.11520802
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