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 J, Uotila, Petteri, Mäkynen, Marko
Other Authors: Institute for Atmospheric and Earth System Research (INAR)
Format: Article in Journal/Newspaper
Language:English
Published: COPERNICUS GESELLSCHAFT MBH 2022
Subjects:
Online Access:http://hdl.handle.net/10138/343727
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spelling ftunivhelsihelda:oai:helda.helsinki.fi:10138/343727 2024-01-07T09:42:25+01:00 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 J Uotila, Petteri Mäkynen, Marko Institute for Atmospheric and Earth System Research (INAR) 2022-05-16T14:31:05Z 24 application/pdf http://hdl.handle.net/10138/343727 eng eng COPERNICUS GESELLSCHAFT MBH 10.5194/tc-16-1821-2022 Karvonen , J , Rinne , E , Sallila , H J , Uotila , P & Mäkynen , M 2022 , ' Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar ' , Cryosphere , vol. 16 , no. 5 , pp. 1821-1844 . https://doi.org/10.5194/tc-16-1821-2022 ORCID: /0000-0002-2939-7561/work/113363984 aab08589-cb5c-4e33-925b-019db23196e4 http://hdl.handle.net/10138/343727 000794371400001 cc_by openAccess info:eu-repo/semantics/openAccess 114 Physical sciences 1171 Geosciences Article publishedVersion 2022 ftunivhelsihelda 2023-12-14T00:06:12Z 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 Spectro-radiometer) 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. Peer reviewed Article in Journal/Newspaper Barents Sea Sea ice HELDA – University of Helsinki Open Repository Barents Sea The Cryosphere 16 5 1821 1844
institution Open Polar
collection HELDA – University of Helsinki Open Repository
op_collection_id ftunivhelsihelda
language English
topic 114 Physical sciences
1171 Geosciences
spellingShingle 114 Physical sciences
1171 Geosciences
Karvonen, Juha
Rinne, Eero
Sallila, Heidi J
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
topic_facet 114 Physical sciences
1171 Geosciences
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 Spectro-radiometer) 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. Peer reviewed
author2 Institute for Atmospheric and Earth System Research (INAR)
format Article in Journal/Newspaper
author Karvonen, Juha
Rinne, Eero
Sallila, Heidi J
Uotila, Petteri
Mäkynen, Marko
author_facet Karvonen, Juha
Rinne, Eero
Sallila, Heidi J
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
publisher COPERNICUS GESELLSCHAFT MBH
publishDate 2022
url http://hdl.handle.net/10138/343727
geographic Barents Sea
geographic_facet Barents Sea
genre Barents Sea
Sea ice
genre_facet Barents Sea
Sea ice
op_relation 10.5194/tc-16-1821-2022
Karvonen , J , Rinne , E , Sallila , H J , Uotila , P & Mäkynen , M 2022 , ' Kara and Barents sea ice thickness estimation based on CryoSat-2 radar altimeter and Sentinel-1 dual-polarized synthetic aperture radar ' , Cryosphere , vol. 16 , no. 5 , pp. 1821-1844 . https://doi.org/10.5194/tc-16-1821-2022
ORCID: /0000-0002-2939-7561/work/113363984
aab08589-cb5c-4e33-925b-019db23196e4
http://hdl.handle.net/10138/343727
000794371400001
op_rights cc_by
openAccess
info:eu-repo/semantics/openAccess
container_title The Cryosphere
container_volume 16
container_issue 5
container_start_page 1821
op_container_end_page 1844
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