CRYO2ICE radar/laser freeboards, snow depth on sea ice and comparison against auxiliary data during winter season 2020-2021
We investigated the near-coincident radar and laser altimetry observations from the CryoSat-2 and ICESat-2 Resonance (CRYO2ICE) campaign, which was initiated in July 2020, for the winter season of 2020-2021. We extracted Arctic radar and laser freeboard (the elevation of sea ice above the local sea...
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ftdtufig:oai:figshare.com:article/21369129 2023-06-18T03:39:43+02:00 CRYO2ICE radar/laser freeboards, snow depth on sea ice and comparison against auxiliary data during winter season 2020-2021 Renée Mie Fredensborg Hansen 2023-06-06T12:30:41Z https://doi.org/10.11583/dtu.21369129.v1 https://figshare.com/articles/dataset/CRYO2ICE_radar_laser_freeboards_snow_depth_on_sea_ice_and_comparison_against_auxiliary_data_during_winter_season_2020-2021/21369129 unknown doi:10.11583/dtu.21369129.v1 https://figshare.com/articles/dataset/CRYO2ICE_radar_laser_freeboards_snow_depth_on_sea_ice_and_comparison_against_auxiliary_data_during_winter_season_2020-2021/21369129 CC BY 4.0 Physical oceanography Photogrammetry and remote sensing CRYO2ICE CryoSat-2 ICESat-2 remote sensing sea ice snow depth on sea ice altimetry snow depth radar laser dual-frequency Dataset 2023 ftdtufig https://doi.org/10.11583/dtu.21369129.v1 2023-06-07T23:15:14Z We investigated the near-coincident radar and laser altimetry observations from the CryoSat-2 and ICESat-2 Resonance (CRYO2ICE) campaign, which was initiated in July 2020, for the winter season of 2020-2021. We extracted Arctic radar and laser freeboard (the elevation of sea ice above the local sea level depending on scattering horizon), and binned the ICESat-2 observations to the CryoSat-2 observations using a search radius of 3500 m and applied inverse-distancing-weightning. From ICESat-2, both strong and weak beams from all three beam pairs were included. For CryoSat-2, we include the baseline-D from the European Space Agency (ESA), and include two further products using two other retrieval methodologies (CCI and LARM). We further derived snow depth from the difference in penetration of the radar and laser (using the freeboards), and this high-resolution orbit-based snow depth estimates were compared with nearest-neighbouring observations from basin-scale snow depth composites using either passive-microwave-radiometry (AMSR2) or a reanalysis-based model estimates (SMLG/SMLG-HS). Orbit-based snow depth estimates were also compared with buoy estimates (acoustic or thermistor string buoys). This dataset includes the CRYO2ICE tracks + coincident buoy data computed for Fredensborg Hansen et al. (2023), where the code is available here): https://github.com/reneefredensborg/CRYO2ICE_freeboards_snow_depths_roughness_auxiliary_v1 The files/folders are as follows: File: cryo2ice_tracks.csv --- information (IDs of CryoSat-2/ICESat-2 tracks along with start/end times of the tracks) for others to compare and identify CRYO2ICE tracks for future studies. Files (.)_smooth.h5 in CRYO2ICE_individual ZIP-folder (778 tracks --> 389 individual CRYO2ICE tracks identified) : CRYO2ICE individual tracks after binning (search radius of 3500 m, inverse-distancing-weighting etc., following the methdology presented in Fredensborg Hansen et al. (2023)) available as .h5-files. Two files pr. track is provided, one with all the filtered ... Dataset Arctic Sea ice Technical University of Denmark (DTU): Fighsare Arctic |
institution |
Open Polar |
collection |
Technical University of Denmark (DTU): Fighsare |
op_collection_id |
ftdtufig |
language |
unknown |
topic |
Physical oceanography Photogrammetry and remote sensing CRYO2ICE CryoSat-2 ICESat-2 remote sensing sea ice snow depth on sea ice altimetry snow depth radar laser dual-frequency |
spellingShingle |
Physical oceanography Photogrammetry and remote sensing CRYO2ICE CryoSat-2 ICESat-2 remote sensing sea ice snow depth on sea ice altimetry snow depth radar laser dual-frequency Renée Mie Fredensborg Hansen CRYO2ICE radar/laser freeboards, snow depth on sea ice and comparison against auxiliary data during winter season 2020-2021 |
topic_facet |
Physical oceanography Photogrammetry and remote sensing CRYO2ICE CryoSat-2 ICESat-2 remote sensing sea ice snow depth on sea ice altimetry snow depth radar laser dual-frequency |
description |
We investigated the near-coincident radar and laser altimetry observations from the CryoSat-2 and ICESat-2 Resonance (CRYO2ICE) campaign, which was initiated in July 2020, for the winter season of 2020-2021. We extracted Arctic radar and laser freeboard (the elevation of sea ice above the local sea level depending on scattering horizon), and binned the ICESat-2 observations to the CryoSat-2 observations using a search radius of 3500 m and applied inverse-distancing-weightning. From ICESat-2, both strong and weak beams from all three beam pairs were included. For CryoSat-2, we include the baseline-D from the European Space Agency (ESA), and include two further products using two other retrieval methodologies (CCI and LARM). We further derived snow depth from the difference in penetration of the radar and laser (using the freeboards), and this high-resolution orbit-based snow depth estimates were compared with nearest-neighbouring observations from basin-scale snow depth composites using either passive-microwave-radiometry (AMSR2) or a reanalysis-based model estimates (SMLG/SMLG-HS). Orbit-based snow depth estimates were also compared with buoy estimates (acoustic or thermistor string buoys). This dataset includes the CRYO2ICE tracks + coincident buoy data computed for Fredensborg Hansen et al. (2023), where the code is available here): https://github.com/reneefredensborg/CRYO2ICE_freeboards_snow_depths_roughness_auxiliary_v1 The files/folders are as follows: File: cryo2ice_tracks.csv --- information (IDs of CryoSat-2/ICESat-2 tracks along with start/end times of the tracks) for others to compare and identify CRYO2ICE tracks for future studies. Files (.)_smooth.h5 in CRYO2ICE_individual ZIP-folder (778 tracks --> 389 individual CRYO2ICE tracks identified) : CRYO2ICE individual tracks after binning (search radius of 3500 m, inverse-distancing-weighting etc., following the methdology presented in Fredensborg Hansen et al. (2023)) available as .h5-files. Two files pr. track is provided, one with all the filtered ... |
format |
Dataset |
author |
Renée Mie Fredensborg Hansen |
author_facet |
Renée Mie Fredensborg Hansen |
author_sort |
Renée Mie Fredensborg Hansen |
title |
CRYO2ICE radar/laser freeboards, snow depth on sea ice and comparison against auxiliary data during winter season 2020-2021 |
title_short |
CRYO2ICE radar/laser freeboards, snow depth on sea ice and comparison against auxiliary data during winter season 2020-2021 |
title_full |
CRYO2ICE radar/laser freeboards, snow depth on sea ice and comparison against auxiliary data during winter season 2020-2021 |
title_fullStr |
CRYO2ICE radar/laser freeboards, snow depth on sea ice and comparison against auxiliary data during winter season 2020-2021 |
title_full_unstemmed |
CRYO2ICE radar/laser freeboards, snow depth on sea ice and comparison against auxiliary data during winter season 2020-2021 |
title_sort |
cryo2ice radar/laser freeboards, snow depth on sea ice and comparison against auxiliary data during winter season 2020-2021 |
publishDate |
2023 |
url |
https://doi.org/10.11583/dtu.21369129.v1 https://figshare.com/articles/dataset/CRYO2ICE_radar_laser_freeboards_snow_depth_on_sea_ice_and_comparison_against_auxiliary_data_during_winter_season_2020-2021/21369129 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_relation |
doi:10.11583/dtu.21369129.v1 https://figshare.com/articles/dataset/CRYO2ICE_radar_laser_freeboards_snow_depth_on_sea_ice_and_comparison_against_auxiliary_data_during_winter_season_2020-2021/21369129 |
op_rights |
CC BY 4.0 |
op_doi |
https://doi.org/10.11583/dtu.21369129.v1 |
_version_ |
1769004427811749888 |