Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar

We present a method to combine CryoSat-2 (CS2) radar altimeter and Sentinel-1 synthetic aperture radar (SAR) data to obtain sea ice thickness (SIT) estimates for the Barents and Kara seas. From the viewpoint of tactical navigation, along-track altimeter SIT estimates are sparse, and the goal of our...

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Published in:The Cryosphere
Main Authors: Karvonen, Juha, Rinne, Eero, Sallila, Heidi, Uotila, Petteri, Mäkynen, Marko
Format: Text
Language:English
Published: 2022
Subjects:
Online Access:https://doi.org/10.5194/tc-16-1821-2022
https://tc.copernicus.org/articles/16/1821/2022/
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spelling ftcopernicus:oai:publications.copernicus.org:tc95563 2023-05-15T15:39:08+02:00 Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar Karvonen, Juha Rinne, Eero Sallila, Heidi Uotila, Petteri Mäkynen, Marko 2022-05-13 application/pdf https://doi.org/10.5194/tc-16-1821-2022 https://tc.copernicus.org/articles/16/1821/2022/ eng eng doi:10.5194/tc-16-1821-2022 https://tc.copernicus.org/articles/16/1821/2022/ eISSN: 1994-0424 Text 2022 ftcopernicus https://doi.org/10.5194/tc-16-1821-2022 2022-05-16T16:22:33Z We present a method to combine CryoSat-2 (CS2) radar altimeter and Sentinel-1 synthetic aperture radar (SAR) data to obtain sea ice thickness (SIT) estimates for the Barents and Kara seas. From the viewpoint of tactical navigation, along-track altimeter SIT estimates are sparse, and the goal of our study is to develop a method to interpolate altimeter SIT measurements between CS2 ground tracks. The SIT estimation method developed here is based on the interpolation of CS2 SIT utilizing SAR segmentation and segmentwise SAR texture features. The SIT results are compared to SIT data derived from the AARI ice charts; to ORAS5, PIOMAS and TOPAZ4 ocean–sea ice data assimilation system reanalyses; to combined CS2 and Soil Moisture and Ocean Salinity (SMOS) radiometer weekly SIT (CS2SMOS SIT) charts; and to the daily MODIS (Moderate Resolution Imaging Spectroradiometer) SIT chart. We studied two approaches: CS2 directly interpolated to SAR segments and CS2 SIT interpolated to SAR segments with mapping of the CS2 SIT distributions to correspond to SIT distribution of the PIOMAS ice model. Our approaches yield larger spatial coverage and better accuracy compared to SIT estimates based on either CS2 or SAR data alone. The agreement with modelled SIT is better than with the CS2SMOS SIT. The average differences when compared to ice models and the AARI ice chart SIT were typically tens of centimetres, and there was a significant positive bias when compared to the AARI SIT (on average 27 cm) and a similar bias (24 cm) when compared to the CS2SMOS SIT. Our results are directly applicable to the future CRISTAL mission and Copernicus programme SAR missions. Text Barents Sea Sea ice Copernicus Publications: E-Journals Barents Sea The Cryosphere 16 5 1821 1844
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description We present a method to combine CryoSat-2 (CS2) radar altimeter and Sentinel-1 synthetic aperture radar (SAR) data to obtain sea ice thickness (SIT) estimates for the Barents and Kara seas. From the viewpoint of tactical navigation, along-track altimeter SIT estimates are sparse, and the goal of our study is to develop a method to interpolate altimeter SIT measurements between CS2 ground tracks. The SIT estimation method developed here is based on the interpolation of CS2 SIT utilizing SAR segmentation and segmentwise SAR texture features. The SIT results are compared to SIT data derived from the AARI ice charts; to ORAS5, PIOMAS and TOPAZ4 ocean–sea ice data assimilation system reanalyses; to combined CS2 and Soil Moisture and Ocean Salinity (SMOS) radiometer weekly SIT (CS2SMOS SIT) charts; and to the daily MODIS (Moderate Resolution Imaging Spectroradiometer) SIT chart. We studied two approaches: CS2 directly interpolated to SAR segments and CS2 SIT interpolated to SAR segments with mapping of the CS2 SIT distributions to correspond to SIT distribution of the PIOMAS ice model. Our approaches yield larger spatial coverage and better accuracy compared to SIT estimates based on either CS2 or SAR data alone. The agreement with modelled SIT is better than with the CS2SMOS SIT. The average differences when compared to ice models and the AARI ice chart SIT were typically tens of centimetres, and there was a significant positive bias when compared to the AARI SIT (on average 27 cm) and a similar bias (24 cm) when compared to the CS2SMOS SIT. Our results are directly applicable to the future CRISTAL mission and Copernicus programme SAR missions.
format Text
author Karvonen, Juha
Rinne, Eero
Sallila, Heidi
Uotila, Petteri
Mäkynen, Marko
spellingShingle Karvonen, Juha
Rinne, Eero
Sallila, Heidi
Uotila, Petteri
Mäkynen, Marko
Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar
author_facet Karvonen, Juha
Rinne, Eero
Sallila, Heidi
Uotila, Petteri
Mäkynen, Marko
author_sort Karvonen, Juha
title Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar
title_short Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar
title_full Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar
title_fullStr Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar
title_full_unstemmed Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar
title_sort kara and barents sea ice thickness estimation based on cryosat-2 radar altimeter and sentinel-1 dual-polarized synthetic aperture radar
publishDate 2022
url https://doi.org/10.5194/tc-16-1821-2022
https://tc.copernicus.org/articles/16/1821/2022/
geographic Barents Sea
geographic_facet Barents Sea
genre Barents Sea
Sea ice
genre_facet Barents Sea
Sea ice
op_source eISSN: 1994-0424
op_relation doi:10.5194/tc-16-1821-2022
https://tc.copernicus.org/articles/16/1821/2022/
op_doi https://doi.org/10.5194/tc-16-1821-2022
container_title The Cryosphere
container_volume 16
container_issue 5
container_start_page 1821
op_container_end_page 1844
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