Deformation composite of the RADARSAT Geophysical Processor System (RGPS) Lagrangian motion data
Deformation composite constructed from the Lagrangian RADARSAT Geophysical Processor System (RGPS) Lagrangian motion data for January-February-March, 1997 to 2008.The nominal temporal and spatial scales for the composite data areT * = 3 days, and L * = 10 km. This data is analyzed and compared with...
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ftzenodo:oai:zenodo.org:6321327 2024-09-15T18:35:11+00:00 Deformation composite of the RADARSAT Geophysical Processor System (RGPS) Lagrangian motion data Bouchat, Amélie Hutter, Nils 2022-03-01 https://doi.org/10.5281/zenodo.6321327 unknown Zenodo https://zenodo.org/communities/sirex https://doi.org/10.5281/zenodo.6321326 https://doi.org/10.5281/zenodo.6321327 oai:zenodo.org:6321327 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode sea ice deformation RGPS satellite observations rheology Arctic info:eu-repo/semantics/other 2022 ftzenodo https://doi.org/10.5281/zenodo.632132710.5281/zenodo.6321326 2024-07-26T07:11:07Z Deformation composite constructed from the Lagrangian RADARSAT Geophysical Processor System (RGPS) Lagrangian motion data for January-February-March, 1997 to 2008.The nominal temporal and spatial scales for the composite data areT * = 3 days, and L * = 10 km. This data is analyzed and compared with model deformation statistics inBouchat et al., Sea Ice Rheology Experiment (SIREx), Part I: Scaling and statistical properties of sea-ice deformation fields, Journal of Geophysical Research: Oceans (2022). The original RGPS Lagrangian motion data set consists in lists of trajectories (time and positions records) for points that are tracked in sequential synthetic aperture radar (SAR) images. The trajectories are organized in different “streams”, corresponding to different initial satellite passes over which a set of tracked points were initialized. For all streams, the trajectories are initialized on auniform 10 km x 10 km grid at the beginning of the winter in November.Each tracked pointcan therefore be assigned to (i,j) indices corresponding to its initialization location on the grid. As time increases andthe position records are updated, the tracked points are no longer uniformly separated, but their assigned (i,j) indices do not change.The trajectory records are updated when the tracking algorithm detects the tracked points in a new SAR image. The update interval is therefore not always the same for allpoints, nor is it always on the same time/day within a given stream as the tracking algorithm may be unsuccessful for certain images/points. Moreover, the multiple streams can overlap spatially, such that more than one trajectory can be assigned to the same (i,j) indices. Computingstrain rates directlyfrom the original RGPS Lagrangian motion product therefore results in deformation estimates that can span a wide range of spatio-temporal scales, that are not temporally coherent across all streams,and that can also be spatiallyredundant.The goal of constructing a deformation composite from theoriginal RGPS Lagrangian ... Other/Unknown Material Sea ice Zenodo |
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sea ice deformation RGPS satellite observations rheology Arctic |
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sea ice deformation RGPS satellite observations rheology Arctic Bouchat, Amélie Hutter, Nils Deformation composite of the RADARSAT Geophysical Processor System (RGPS) Lagrangian motion data |
topic_facet |
sea ice deformation RGPS satellite observations rheology Arctic |
description |
Deformation composite constructed from the Lagrangian RADARSAT Geophysical Processor System (RGPS) Lagrangian motion data for January-February-March, 1997 to 2008.The nominal temporal and spatial scales for the composite data areT * = 3 days, and L * = 10 km. This data is analyzed and compared with model deformation statistics inBouchat et al., Sea Ice Rheology Experiment (SIREx), Part I: Scaling and statistical properties of sea-ice deformation fields, Journal of Geophysical Research: Oceans (2022). The original RGPS Lagrangian motion data set consists in lists of trajectories (time and positions records) for points that are tracked in sequential synthetic aperture radar (SAR) images. The trajectories are organized in different “streams”, corresponding to different initial satellite passes over which a set of tracked points were initialized. For all streams, the trajectories are initialized on auniform 10 km x 10 km grid at the beginning of the winter in November.Each tracked pointcan therefore be assigned to (i,j) indices corresponding to its initialization location on the grid. As time increases andthe position records are updated, the tracked points are no longer uniformly separated, but their assigned (i,j) indices do not change.The trajectory records are updated when the tracking algorithm detects the tracked points in a new SAR image. The update interval is therefore not always the same for allpoints, nor is it always on the same time/day within a given stream as the tracking algorithm may be unsuccessful for certain images/points. Moreover, the multiple streams can overlap spatially, such that more than one trajectory can be assigned to the same (i,j) indices. Computingstrain rates directlyfrom the original RGPS Lagrangian motion product therefore results in deformation estimates that can span a wide range of spatio-temporal scales, that are not temporally coherent across all streams,and that can also be spatiallyredundant.The goal of constructing a deformation composite from theoriginal RGPS Lagrangian ... |
format |
Other/Unknown Material |
author |
Bouchat, Amélie Hutter, Nils |
author_facet |
Bouchat, Amélie Hutter, Nils |
author_sort |
Bouchat, Amélie |
title |
Deformation composite of the RADARSAT Geophysical Processor System (RGPS) Lagrangian motion data |
title_short |
Deformation composite of the RADARSAT Geophysical Processor System (RGPS) Lagrangian motion data |
title_full |
Deformation composite of the RADARSAT Geophysical Processor System (RGPS) Lagrangian motion data |
title_fullStr |
Deformation composite of the RADARSAT Geophysical Processor System (RGPS) Lagrangian motion data |
title_full_unstemmed |
Deformation composite of the RADARSAT Geophysical Processor System (RGPS) Lagrangian motion data |
title_sort |
deformation composite of the radarsat geophysical processor system (rgps) lagrangian motion data |
publisher |
Zenodo |
publishDate |
2022 |
url |
https://doi.org/10.5281/zenodo.6321327 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://zenodo.org/communities/sirex https://doi.org/10.5281/zenodo.6321326 https://doi.org/10.5281/zenodo.6321327 oai:zenodo.org:6321327 |
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.632132710.5281/zenodo.6321326 |
_version_ |
1810478135735484416 |