A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data
International audience Sea-ice thickness on a global scale is derived from different satellite sensors using independent retrieval methods. Due to the sensor and orbit characteristics, such satellite retrievals differ in spatial and temporal resolution as well as in the sensitivity to certain sea-ic...
Published in: | The Cryosphere |
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ftinsu:oai:HAL:insu-03682740v1 2024-04-14T08:07:15+00:00 A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data Ricker, Robert Hendricks, Stefan Kaleschke, Lars Tian-Kunze, Xiangshan King, Jennifer Haas, Christian Laboratoire d'Océanographie Physique et Spatiale (LOPS) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) 2017 https://insu.hal.science/insu-03682740 https://insu.hal.science/insu-03682740/document https://insu.hal.science/insu-03682740/file/tc-11-1607-2017.pdf https://doi.org/10.5194/tc-11-1607-2017 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-11-1607-2017 insu-03682740 https://insu.hal.science/insu-03682740 https://insu.hal.science/insu-03682740/document https://insu.hal.science/insu-03682740/file/tc-11-1607-2017.pdf BIBCODE: 2017TCry.11.1607R doi:10.5194/tc-11-1607-2017 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://insu.hal.science/insu-03682740 The Cryosphere, 2017, 11, pp.1607-1623. ⟨10.5194/tc-11-1607-2017⟩ [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2017 ftinsu https://doi.org/10.5194/tc-11-1607-2017 2024-03-21T17:13:45Z International audience Sea-ice thickness on a global scale is derived from different satellite sensors using independent retrieval methods. Due to the sensor and orbit characteristics, such satellite retrievals differ in spatial and temporal resolution as well as in the sensitivity to certain sea-ice types and thickness ranges. Satellite altimeters, such as CryoSat-2 (CS2), sense the height of the ice surface above the sea level, which can be converted into sea-ice thickness. Relative uncertainties associated with this method are large over thin ice regimes. Another retrieval method is based on the evaluation of surface brightness temperature (TB) in L-band microwave frequencies (1.4 GHz) with a thickness-dependent emission model, as measured by the Soil Moisture and Ocean Salinity (SMOS) satellite. While the radiometer-based method looses sensitivity for thick sea ice (> 1 m), relative uncertainties over thin ice are significantly smaller than for the altimetry-based retrievals. In addition, the SMOS product provides global sea-ice coverage on a daily basis unlike the altimeter data. This study presents the first merged product of complementary weekly Arctic sea-ice thickness data records from the CS2 altimeter and SMOS radiometer. We use two merging approaches: a weighted mean (WM) and an optimal interpolation (OI) scheme. While the weighted mean leaves gaps between CS2 orbits, OI is used to produce weekly Arctic-wide sea-ice thickness fields. The benefit of the data merging is shown by a comparison with airborne electromagnetic (AEM) induction sounding measurements. When compared to airborne thickness data in the Barents Sea, the merged product has a root mean square deviation (RMSD) of about 0.7 m less than the CS2 product and therefore demonstrates the capability to enhance the CS2 product in thin ice regimes. However, in mixed first-year (FYI) and multiyear (MYI) ice regimes as in the Beaufort Sea, the CS2 retrieval shows the lowest bias. Article in Journal/Newspaper Arctic Barents Sea Beaufort Sea Sea ice The Cryosphere Institut national des sciences de l'Univers: HAL-INSU Arctic Barents Sea The Cryosphere 11 4 1607 1623 |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
[SDU]Sciences of the Universe [physics] |
spellingShingle |
[SDU]Sciences of the Universe [physics] Ricker, Robert Hendricks, Stefan Kaleschke, Lars Tian-Kunze, Xiangshan King, Jennifer Haas, Christian A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data |
topic_facet |
[SDU]Sciences of the Universe [physics] |
description |
International audience Sea-ice thickness on a global scale is derived from different satellite sensors using independent retrieval methods. Due to the sensor and orbit characteristics, such satellite retrievals differ in spatial and temporal resolution as well as in the sensitivity to certain sea-ice types and thickness ranges. Satellite altimeters, such as CryoSat-2 (CS2), sense the height of the ice surface above the sea level, which can be converted into sea-ice thickness. Relative uncertainties associated with this method are large over thin ice regimes. Another retrieval method is based on the evaluation of surface brightness temperature (TB) in L-band microwave frequencies (1.4 GHz) with a thickness-dependent emission model, as measured by the Soil Moisture and Ocean Salinity (SMOS) satellite. While the radiometer-based method looses sensitivity for thick sea ice (> 1 m), relative uncertainties over thin ice are significantly smaller than for the altimetry-based retrievals. In addition, the SMOS product provides global sea-ice coverage on a daily basis unlike the altimeter data. This study presents the first merged product of complementary weekly Arctic sea-ice thickness data records from the CS2 altimeter and SMOS radiometer. We use two merging approaches: a weighted mean (WM) and an optimal interpolation (OI) scheme. While the weighted mean leaves gaps between CS2 orbits, OI is used to produce weekly Arctic-wide sea-ice thickness fields. The benefit of the data merging is shown by a comparison with airborne electromagnetic (AEM) induction sounding measurements. When compared to airborne thickness data in the Barents Sea, the merged product has a root mean square deviation (RMSD) of about 0.7 m less than the CS2 product and therefore demonstrates the capability to enhance the CS2 product in thin ice regimes. However, in mixed first-year (FYI) and multiyear (MYI) ice regimes as in the Beaufort Sea, the CS2 retrieval shows the lowest bias. |
author2 |
Laboratoire d'Océanographie Physique et Spatiale (LOPS) Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS) |
format |
Article in Journal/Newspaper |
author |
Ricker, Robert Hendricks, Stefan Kaleschke, Lars Tian-Kunze, Xiangshan King, Jennifer Haas, Christian |
author_facet |
Ricker, Robert Hendricks, Stefan Kaleschke, Lars Tian-Kunze, Xiangshan King, Jennifer Haas, Christian |
author_sort |
Ricker, Robert |
title |
A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data |
title_short |
A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data |
title_full |
A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data |
title_fullStr |
A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data |
title_full_unstemmed |
A weekly Arctic sea-ice thickness data record from merged CryoSat-2 and SMOS satellite data |
title_sort |
weekly arctic sea-ice thickness data record from merged cryosat-2 and smos satellite data |
publisher |
HAL CCSD |
publishDate |
2017 |
url |
https://insu.hal.science/insu-03682740 https://insu.hal.science/insu-03682740/document https://insu.hal.science/insu-03682740/file/tc-11-1607-2017.pdf https://doi.org/10.5194/tc-11-1607-2017 |
geographic |
Arctic Barents Sea |
geographic_facet |
Arctic Barents Sea |
genre |
Arctic Barents Sea Beaufort Sea Sea ice The Cryosphere |
genre_facet |
Arctic Barents Sea Beaufort Sea Sea ice The Cryosphere |
op_source |
ISSN: 1994-0424 EISSN: 1994-0416 The Cryosphere https://insu.hal.science/insu-03682740 The Cryosphere, 2017, 11, pp.1607-1623. ⟨10.5194/tc-11-1607-2017⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-11-1607-2017 insu-03682740 https://insu.hal.science/insu-03682740 https://insu.hal.science/insu-03682740/document https://insu.hal.science/insu-03682740/file/tc-11-1607-2017.pdf BIBCODE: 2017TCry.11.1607R doi:10.5194/tc-11-1607-2017 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/tc-11-1607-2017 |
container_title |
The Cryosphere |
container_volume |
11 |
container_issue |
4 |
container_start_page |
1607 |
op_container_end_page |
1623 |
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1796304522365108224 |