Improvement and sensitivity snalysis of thermal thin-ice thickness retrievals
Considering the sea ice decline in the Arctic during the last decades, polynyas are of high research interest since these features are core areas of new ice formation. The determination of ice formation requires accurate retrieval of polynya area and thin-ice thickness (TIT) distribution within the...
Published in: | IEEE Transactions on Geoscience and Remote Sensing |
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Online Access: | https://oceanrep.geomar.de/id/eprint/25570/ https://oceanrep.geomar.de/id/eprint/25570/1/Adams.pdf https://doi.org/10.1109/TGRS.2012.2219539 |
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ftoceanrep:oai:oceanrep.geomar.de:25570 2023-05-15T15:10:58+02:00 Improvement and sensitivity snalysis of thermal thin-ice thickness retrievals Adams, Susanne Willmes, Sascha Schröder, David Heinemann, Günther Bauer, Martin Krumpen, Thomas 2013 text https://oceanrep.geomar.de/id/eprint/25570/ https://oceanrep.geomar.de/id/eprint/25570/1/Adams.pdf https://doi.org/10.1109/TGRS.2012.2219539 en eng Institute of Electrical and Electronics Engineers (IEEE) https://oceanrep.geomar.de/id/eprint/25570/1/Adams.pdf Adams, S., Willmes, S., Schröder, D., Heinemann, G., Bauer, M. and Krumpen, T. (2013) Improvement and sensitivity snalysis of thermal thin-ice thickness retrievals. IEEE Transactions on Geoscience and Remote Sensing, 51 (6). pp. 3306-3318. DOI 10.1109/TGRS.2012.2219539 <https://doi.org/10.1109/TGRS.2012.2219539>. doi:10.1109/TGRS.2012.2219539 info:eu-repo/semantics/restrictedAccess Article PeerReviewed 2013 ftoceanrep https://doi.org/10.1109/TGRS.2012.2219539 2023-04-07T15:14:15Z Considering the sea ice decline in the Arctic during the last decades, polynyas are of high research interest since these features are core areas of new ice formation. The determination of ice formation requires accurate retrieval of polynya area and thin-ice thickness (TIT) distribution within the polynya. We use an established energy balance model to derive TITs with MODIS ice surface temperatures (Ts) and NCEP/DOE Reanalysis II in the Laptev Sea for two winter seasons. Improvements of the algorithm mainly concern the implementation of an iterative approach to calculate the atmospheric flux components taking the atmospheric stratification into account. Furthermore, a sensitivity study is performed to analyze the errors of the ice thickness. The results are the following: 1) 2-m air temperatures (Ta) and Ts have the highest impact on the retrieved ice thickness; 2) an overestimation of Ta yields smaller ice thickness errors as an underestimation of Ta; 3) NCEP Ta shows often a warm bias; and 4) the mean absolute error for ice thicknesses up to 20 cm is ±4.7 cm. Based on these results, we conclude that, despite the shortcomings of the NCEP data (coarse spatial resolution and no polynyas), this data set is appropriate in combination with MODIS Ts for the retrieval of TITs up to 20 cm in the Laptev Sea region. The TIT algorithm can be applied to other polynya regions and to past and future time periods. Our TIT product is a valuable data set for verification of other model and remote sensing ice thickness data. Article in Journal/Newspaper Arctic laptev Laptev Sea Sea ice OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) Arctic Laptev Sea IEEE Transactions on Geoscience and Remote Sensing 51 6 3306 3318 |
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Open Polar |
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OceanRep (GEOMAR Helmholtz Centre für Ocean Research Kiel) |
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ftoceanrep |
language |
English |
description |
Considering the sea ice decline in the Arctic during the last decades, polynyas are of high research interest since these features are core areas of new ice formation. The determination of ice formation requires accurate retrieval of polynya area and thin-ice thickness (TIT) distribution within the polynya. We use an established energy balance model to derive TITs with MODIS ice surface temperatures (Ts) and NCEP/DOE Reanalysis II in the Laptev Sea for two winter seasons. Improvements of the algorithm mainly concern the implementation of an iterative approach to calculate the atmospheric flux components taking the atmospheric stratification into account. Furthermore, a sensitivity study is performed to analyze the errors of the ice thickness. The results are the following: 1) 2-m air temperatures (Ta) and Ts have the highest impact on the retrieved ice thickness; 2) an overestimation of Ta yields smaller ice thickness errors as an underestimation of Ta; 3) NCEP Ta shows often a warm bias; and 4) the mean absolute error for ice thicknesses up to 20 cm is ±4.7 cm. Based on these results, we conclude that, despite the shortcomings of the NCEP data (coarse spatial resolution and no polynyas), this data set is appropriate in combination with MODIS Ts for the retrieval of TITs up to 20 cm in the Laptev Sea region. The TIT algorithm can be applied to other polynya regions and to past and future time periods. Our TIT product is a valuable data set for verification of other model and remote sensing ice thickness data. |
format |
Article in Journal/Newspaper |
author |
Adams, Susanne Willmes, Sascha Schröder, David Heinemann, Günther Bauer, Martin Krumpen, Thomas |
spellingShingle |
Adams, Susanne Willmes, Sascha Schröder, David Heinemann, Günther Bauer, Martin Krumpen, Thomas Improvement and sensitivity snalysis of thermal thin-ice thickness retrievals |
author_facet |
Adams, Susanne Willmes, Sascha Schröder, David Heinemann, Günther Bauer, Martin Krumpen, Thomas |
author_sort |
Adams, Susanne |
title |
Improvement and sensitivity snalysis of thermal thin-ice thickness retrievals |
title_short |
Improvement and sensitivity snalysis of thermal thin-ice thickness retrievals |
title_full |
Improvement and sensitivity snalysis of thermal thin-ice thickness retrievals |
title_fullStr |
Improvement and sensitivity snalysis of thermal thin-ice thickness retrievals |
title_full_unstemmed |
Improvement and sensitivity snalysis of thermal thin-ice thickness retrievals |
title_sort |
improvement and sensitivity snalysis of thermal thin-ice thickness retrievals |
publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
publishDate |
2013 |
url |
https://oceanrep.geomar.de/id/eprint/25570/ https://oceanrep.geomar.de/id/eprint/25570/1/Adams.pdf https://doi.org/10.1109/TGRS.2012.2219539 |
geographic |
Arctic Laptev Sea |
geographic_facet |
Arctic Laptev Sea |
genre |
Arctic laptev Laptev Sea Sea ice |
genre_facet |
Arctic laptev Laptev Sea Sea ice |
op_relation |
https://oceanrep.geomar.de/id/eprint/25570/1/Adams.pdf Adams, S., Willmes, S., Schröder, D., Heinemann, G., Bauer, M. and Krumpen, T. (2013) Improvement and sensitivity snalysis of thermal thin-ice thickness retrievals. IEEE Transactions on Geoscience and Remote Sensing, 51 (6). pp. 3306-3318. DOI 10.1109/TGRS.2012.2219539 <https://doi.org/10.1109/TGRS.2012.2219539>. doi:10.1109/TGRS.2012.2219539 |
op_rights |
info:eu-repo/semantics/restrictedAccess |
op_doi |
https://doi.org/10.1109/TGRS.2012.2219539 |
container_title |
IEEE Transactions on Geoscience and Remote Sensing |
container_volume |
51 |
container_issue |
6 |
container_start_page |
3306 |
op_container_end_page |
3318 |
_version_ |
1766341893860360192 |