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: J. Karvonen, E. Rinne, H. Sallila, P. Uotila, M. Mäkynen
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2022
Subjects:
Online Access:https://doi.org/10.5194/tc-16-1821-2022
https://doaj.org/article/8683410ac8ca475c8f50f838f0827d19
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spelling ftdoajarticles:oai:doaj.org/article:8683410ac8ca475c8f50f838f0827d19 2023-05-15T15:39:06+02:00 Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar J. Karvonen E. Rinne H. Sallila P. Uotila M. Mäkynen 2022-05-01T00:00:00Z https://doi.org/10.5194/tc-16-1821-2022 https://doaj.org/article/8683410ac8ca475c8f50f838f0827d19 EN eng Copernicus Publications https://tc.copernicus.org/articles/16/1821/2022/tc-16-1821-2022.pdf https://doaj.org/toc/1994-0416 https://doaj.org/toc/1994-0424 doi:10.5194/tc-16-1821-2022 1994-0416 1994-0424 https://doaj.org/article/8683410ac8ca475c8f50f838f0827d19 The Cryosphere, Vol 16, Pp 1821-1844 (2022) Environmental sciences GE1-350 Geology QE1-996.5 article 2022 ftdoajarticles https://doi.org/10.5194/tc-16-1821-2022 2022-12-30T23:33:17Z 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. Article in Journal/Newspaper Barents Sea Sea ice The Cryosphere Directory of Open Access Journals: DOAJ Articles Barents Sea The Cryosphere 16 5 1821 1844
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Environmental sciences
GE1-350
Geology
QE1-996.5
spellingShingle Environmental sciences
GE1-350
Geology
QE1-996.5
J. Karvonen
E. Rinne
H. Sallila
P. Uotila
M. Mäkynen
Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar
topic_facet Environmental sciences
GE1-350
Geology
QE1-996.5
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 Article in Journal/Newspaper
author J. Karvonen
E. Rinne
H. Sallila
P. Uotila
M. Mäkynen
author_facet J. Karvonen
E. Rinne
H. Sallila
P. Uotila
M. Mäkynen
author_sort J. Karvonen
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
publisher Copernicus Publications
publishDate 2022
url https://doi.org/10.5194/tc-16-1821-2022
https://doaj.org/article/8683410ac8ca475c8f50f838f0827d19
geographic Barents Sea
geographic_facet Barents Sea
genre Barents Sea
Sea ice
The Cryosphere
genre_facet Barents Sea
Sea ice
The Cryosphere
op_source The Cryosphere, Vol 16, Pp 1821-1844 (2022)
op_relation https://tc.copernicus.org/articles/16/1821/2022/tc-16-1821-2022.pdf
https://doaj.org/toc/1994-0416
https://doaj.org/toc/1994-0424
doi:10.5194/tc-16-1821-2022
1994-0416
1994-0424
https://doaj.org/article/8683410ac8ca475c8f50f838f0827d19
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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