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...
Main Authors: | , , , , , , , , , , , |
---|---|
Format: | Other/Unknown Material |
Language: | unknown |
Published: |
Zenodo
2024
|
Subjects: | |
Online Access: | https://doi.org/10.5281/zenodo.11520803 |
id |
ftzenodo:oai:zenodo.org:11520803 |
---|---|
record_format |
openpolar |
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 |
_version_ |
1810440021000323072 |