Improvement and Sensitivity Analysis 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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ftawi:oai:epic.awi.de:31971 2024-09-15T18:17:34+00:00 Improvement and Sensitivity Analysis of Thermal Thin-Ice Thickness Retrievals Adams, Susann Schroeder, David Heinemann, Günther Krumpen, Thomas 2012-11-01 application/pdf https://epic.awi.de/id/eprint/31971/ https://epic.awi.de/id/eprint/31971/1/06357238.pdf http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6357238 https://hdl.handle.net/10013/epic.40665 https://hdl.handle.net/10013/epic.40665.d001 unknown IEEE https://epic.awi.de/id/eprint/31971/1/06357238.pdf https://hdl.handle.net/10013/epic.40665.d001 Adams, S. , Schroeder, D. , Heinemann, G. and Krumpen, T. orcid:0000-0001-6234-8756 (2012) Improvement and Sensitivity Analysis of Thermal Thin-Ice Thickness Retrievals , Geoscience and Remote Sensing, IEEE Transactions, 99 , pp. 1-13 . doi:10.1109/TGRS.2012.2219539 <https://doi.org/10.1109/TGRS.2012.2219539> , hdl:10013/epic.40665 EPIC3Geoscience and Remote Sensing, IEEE Transactions, IEEE, 99, pp. 1-13, ISSN: 0196-2892 Article isiRev 2012 ftawi https://doi.org/10.1109/TGRS.2012.2219539 2024-06-24T04:06:16Z 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 $(T_{s})$ 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 $(T_{a})$ and $T_{s}$ have the highest impact on the retrieved ice thickness; 2) an overestimation of $T_{a}$ yields smaller ice thickness errors as an underestimation of $T_{a}$; 3) NCEP $T_{a}$ shows often a warm bias; and 4) the mean absolute error for ice thicknesses up to 20 cm is $pm$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 $T_{s}$ 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 laptev Laptev Sea Sea ice Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) IEEE Transactions on Geoscience and Remote Sensing 51 6 3306 3318 |
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Open Polar |
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Alfred Wegener Institute for Polar- and Marine Research (AWI): ePIC (electronic Publication Information Center) |
op_collection_id |
ftawi |
language |
unknown |
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 $(T_{s})$ 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 $(T_{a})$ and $T_{s}$ have the highest impact on the retrieved ice thickness; 2) an overestimation of $T_{a}$ yields smaller ice thickness errors as an underestimation of $T_{a}$; 3) NCEP $T_{a}$ shows often a warm bias; and 4) the mean absolute error for ice thicknesses up to 20 cm is $pm$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 $T_{s}$ 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, Susann Schroeder, David Heinemann, Günther Krumpen, Thomas |
spellingShingle |
Adams, Susann Schroeder, David Heinemann, Günther Krumpen, Thomas Improvement and Sensitivity Analysis of Thermal Thin-Ice Thickness Retrievals |
author_facet |
Adams, Susann Schroeder, David Heinemann, Günther Krumpen, Thomas |
author_sort |
Adams, Susann |
title |
Improvement and Sensitivity Analysis of Thermal Thin-Ice Thickness Retrievals |
title_short |
Improvement and Sensitivity Analysis of Thermal Thin-Ice Thickness Retrievals |
title_full |
Improvement and Sensitivity Analysis of Thermal Thin-Ice Thickness Retrievals |
title_fullStr |
Improvement and Sensitivity Analysis of Thermal Thin-Ice Thickness Retrievals |
title_full_unstemmed |
Improvement and Sensitivity Analysis of Thermal Thin-Ice Thickness Retrievals |
title_sort |
improvement and sensitivity analysis of thermal thin-ice thickness retrievals |
publisher |
IEEE |
publishDate |
2012 |
url |
https://epic.awi.de/id/eprint/31971/ https://epic.awi.de/id/eprint/31971/1/06357238.pdf http://ieeexplore.ieee.org/xpl/articleDetails.jsp?reload=true&arnumber=6357238 https://hdl.handle.net/10013/epic.40665 https://hdl.handle.net/10013/epic.40665.d001 |
genre |
laptev Laptev Sea Sea ice |
genre_facet |
laptev Laptev Sea Sea ice |
op_source |
EPIC3Geoscience and Remote Sensing, IEEE Transactions, IEEE, 99, pp. 1-13, ISSN: 0196-2892 |
op_relation |
https://epic.awi.de/id/eprint/31971/1/06357238.pdf https://hdl.handle.net/10013/epic.40665.d001 Adams, S. , Schroeder, D. , Heinemann, G. and Krumpen, T. orcid:0000-0001-6234-8756 (2012) Improvement and Sensitivity Analysis of Thermal Thin-Ice Thickness Retrievals , Geoscience and Remote Sensing, IEEE Transactions, 99 , pp. 1-13 . doi:10.1109/TGRS.2012.2219539 <https://doi.org/10.1109/TGRS.2012.2219539> , hdl:10013/epic.40665 |
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_ |
1810455619694493696 |