High-resolution sea ice drift and deformation from sequential SAR images in the Transpolar Drift during MOSAiC 2019/2020 ...
Sea ice deformation is a crucial process in the polar climate system and, thus, it is an important cross-cutting theme for all disciplines of the interdisciplinary research expedition MOSAiC. Because sea ice deformation is highly localized and intermittent, drift and deformation with a high spatial...
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Online Access: | https://dx.doi.org/10.1594/pangaea.958449 https://doi.pangaea.de/10.1594/PANGAEA.958449 |
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ftdatacite:10.1594/pangaea.958449 2024-03-31T07:51:21+00:00 High-resolution sea ice drift and deformation from sequential SAR images in the Transpolar Drift during MOSAiC 2019/2020 ... von Albedyll, Luisa Hutter, Nils 2023 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.958449 https://doi.pangaea.de/10.1594/PANGAEA.958449 en eng PANGAEA https://dx.doi.org/10.5194/tc-17-4047-2023 https://dx.doi.org/10.3189/172756411795931462 https://dx.doi.org/10.1016/j.coldregions.2007.06.006 https://dx.doi.org/10.1109/tgrs.2011.2158005 https://dx.doi.org/10.5194/tc-15-2167-2021 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 DATE/TIME netCDF file netCDF file File Size Satellite imagery Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC dataset Dataset 2023 ftdatacite https://doi.org/10.1594/pangaea.95844910.5194/tc-17-4047-202310.3189/17275641179593146210.1016/j.coldregions.2007.06.00610.1109/tgrs.2011.215800510.5194/tc-15-2167-2021 2024-03-04T13:55:22Z Sea ice deformation is a crucial process in the polar climate system and, thus, it is an important cross-cutting theme for all disciplines of the interdisciplinary research expedition MOSAiC. Because sea ice deformation is highly localized and intermittent, drift and deformation with a high spatial and temporal resolution and a large spatial coverage are required for a comprehensive description of the sea ice dynamics. We provide a regularly gridded, high-resolution drift and deformation dataset that can be used for several potential applications. Drift fields were obtained from Sentinel-1, HH polarization SAR images acquired in enhanced wide mode. These had a pixel resolution of 50 m in Polar Stereographic North projection (latitude of true scale: 70 N, center longitude: 45 W). We used an ice-tracking algorithm introduced by Thomas et al. (2008, 2011) and modified by Hollands and Dierking (2011) to derive drift from sequential pairs. Typically, the time between two scenes was one day, with a few exceptions ... : Data is provided in NetCDF format and in the Polar Stereographic North projection (latitude of true scale: 70 N, center longitude: 45 W, EPSG:3413). All files are projected to the same grid with a spatial resolution of 700 m. There is one file available for each time step (indicated in the file name). Each file contains drift and deformation information.For geographic reference, the files contain:• latitude• longitude• projected x-coordinate (of the polar stereographic projection)• projected y-coordinate (of the polar stereographic projection)For the sea ice drift, the following variables are available:• sea_ice_x_velocity (u, given along the x-direction)• sea_ice_y_velocity (v, given along the y-direction)• sea_ice_speed (absolute speed)• direction_of_sea_ice_velocity (direction)• sea_ice_drift_reliability_flag (indicates the quality of the drift estimates)For the deformation, there are the following variables:• the spatial derivatives (dudx, dudy, dvdx, dvdy)• divergence,• shear,• total deformation,• ... Dataset Arctic Sea ice DataCite Metadata Store (German National Library of Science and Technology) Arctic The ''Y'' ENVELOPE(-112.453,-112.453,57.591,57.591) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
DATE/TIME netCDF file netCDF file File Size Satellite imagery Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC |
spellingShingle |
DATE/TIME netCDF file netCDF file File Size Satellite imagery Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC von Albedyll, Luisa Hutter, Nils High-resolution sea ice drift and deformation from sequential SAR images in the Transpolar Drift during MOSAiC 2019/2020 ... |
topic_facet |
DATE/TIME netCDF file netCDF file File Size Satellite imagery Multidisciplinary drifting Observatory for the Study of Arctic Climate MOSAiC |
description |
Sea ice deformation is a crucial process in the polar climate system and, thus, it is an important cross-cutting theme for all disciplines of the interdisciplinary research expedition MOSAiC. Because sea ice deformation is highly localized and intermittent, drift and deformation with a high spatial and temporal resolution and a large spatial coverage are required for a comprehensive description of the sea ice dynamics. We provide a regularly gridded, high-resolution drift and deformation dataset that can be used for several potential applications. Drift fields were obtained from Sentinel-1, HH polarization SAR images acquired in enhanced wide mode. These had a pixel resolution of 50 m in Polar Stereographic North projection (latitude of true scale: 70 N, center longitude: 45 W). We used an ice-tracking algorithm introduced by Thomas et al. (2008, 2011) and modified by Hollands and Dierking (2011) to derive drift from sequential pairs. Typically, the time between two scenes was one day, with a few exceptions ... : Data is provided in NetCDF format and in the Polar Stereographic North projection (latitude of true scale: 70 N, center longitude: 45 W, EPSG:3413). All files are projected to the same grid with a spatial resolution of 700 m. There is one file available for each time step (indicated in the file name). Each file contains drift and deformation information.For geographic reference, the files contain:• latitude• longitude• projected x-coordinate (of the polar stereographic projection)• projected y-coordinate (of the polar stereographic projection)For the sea ice drift, the following variables are available:• sea_ice_x_velocity (u, given along the x-direction)• sea_ice_y_velocity (v, given along the y-direction)• sea_ice_speed (absolute speed)• direction_of_sea_ice_velocity (direction)• sea_ice_drift_reliability_flag (indicates the quality of the drift estimates)For the deformation, there are the following variables:• the spatial derivatives (dudx, dudy, dvdx, dvdy)• divergence,• shear,• total deformation,• ... |
format |
Dataset |
author |
von Albedyll, Luisa Hutter, Nils |
author_facet |
von Albedyll, Luisa Hutter, Nils |
author_sort |
von Albedyll, Luisa |
title |
High-resolution sea ice drift and deformation from sequential SAR images in the Transpolar Drift during MOSAiC 2019/2020 ... |
title_short |
High-resolution sea ice drift and deformation from sequential SAR images in the Transpolar Drift during MOSAiC 2019/2020 ... |
title_full |
High-resolution sea ice drift and deformation from sequential SAR images in the Transpolar Drift during MOSAiC 2019/2020 ... |
title_fullStr |
High-resolution sea ice drift and deformation from sequential SAR images in the Transpolar Drift during MOSAiC 2019/2020 ... |
title_full_unstemmed |
High-resolution sea ice drift and deformation from sequential SAR images in the Transpolar Drift during MOSAiC 2019/2020 ... |
title_sort |
high-resolution sea ice drift and deformation from sequential sar images in the transpolar drift during mosaic 2019/2020 ... |
publisher |
PANGAEA |
publishDate |
2023 |
url |
https://dx.doi.org/10.1594/pangaea.958449 https://doi.pangaea.de/10.1594/PANGAEA.958449 |
long_lat |
ENVELOPE(-112.453,-112.453,57.591,57.591) |
geographic |
Arctic The ''Y'' |
geographic_facet |
Arctic The ''Y'' |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
https://dx.doi.org/10.5194/tc-17-4047-2023 https://dx.doi.org/10.3189/172756411795931462 https://dx.doi.org/10.1016/j.coldregions.2007.06.006 https://dx.doi.org/10.1109/tgrs.2011.2158005 https://dx.doi.org/10.5194/tc-15-2167-2021 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.95844910.5194/tc-17-4047-202310.3189/17275641179593146210.1016/j.coldregions.2007.06.00610.1109/tgrs.2011.215800510.5194/tc-15-2167-2021 |
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1795029925027119104 |