Dual-polarized ratio algorithm for retrieving Arctic sea ice concentration from passive microwave brightness temperature
We present a new algorithm for retrieving sea ice concentration from the AMSR-E data, the dual-polarized ratio (DPR) algorithm. The DPR algorithm is developed using vertically and horizontally polarized brightness temperatures at the same channel of 36.5 GHz. It depends on the ratio of dual-polarize...
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ftclarkuniv:oai:commons.clarku.edu:faculty_geography-1226 2023-09-05T13:17:10+02:00 Dual-polarized ratio algorithm for retrieving Arctic sea ice concentration from passive microwave brightness temperature Zhang, Shugang Zhao, Jinping Frey, Karen Su, Jie 2013-01-01T08:00:00Z https://commons.clarku.edu/faculty_geography/227 https://doi.org/10.1007/s10872-012-0167-z unknown Clark Digital Commons https://commons.clarku.edu/faculty_geography/227 doi:10.1007/s10872-012-0167-z https://doi.org/10.1007/s10872-012-0167-z Geography AMSR-E Arctic brightness temperature dual-polarized ratio algorithm ice concentration Oceanography Remote Sensing text 2013 ftclarkuniv https://doi.org/10.1007/s10872-012-0167-z 2023-08-14T06:15:24Z We present a new algorithm for retrieving sea ice concentration from the AMSR-E data, the dual-polarized ratio (DPR) algorithm. The DPR algorithm is developed using vertically and horizontally polarized brightness temperatures at the same channel of 36.5 GHz. It depends on the ratio of dual-polarized emissivity, α, which is determined empirically at about 0.92 by remotely sensed brightness temperature in winter and used for the other seasons as well. The ice concentration retrieved by the DPR is compared with those by the NT2 and ABA algorithms. Since the main difference among these algorithms takes place in marginal ice zones, 17 marginal ice zones are chosen. The retrieved ice concentrations in these zones are examined by the ice concentration obtained by the MODIS data. The mean error, root-mean-square error and mean absolute error of the DPR algorithm are relatively better than those from the other two algorithms. The results of this study illustrate that the DPR algorithm is a more accurate algorithm for retrieving sea ice concentration from the AMSR-E brightness temperature, and can be used for operational purposes. © 2013 The Oceanographic Society of Japan and Springer Japan. Text Arctic Sea ice Clark University: Clark Digital Commons Arctic Journal of Oceanography 69 2 215 227 |
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Open Polar |
collection |
Clark University: Clark Digital Commons |
op_collection_id |
ftclarkuniv |
language |
unknown |
topic |
AMSR-E Arctic brightness temperature dual-polarized ratio algorithm ice concentration Oceanography Remote Sensing |
spellingShingle |
AMSR-E Arctic brightness temperature dual-polarized ratio algorithm ice concentration Oceanography Remote Sensing Zhang, Shugang Zhao, Jinping Frey, Karen Su, Jie Dual-polarized ratio algorithm for retrieving Arctic sea ice concentration from passive microwave brightness temperature |
topic_facet |
AMSR-E Arctic brightness temperature dual-polarized ratio algorithm ice concentration Oceanography Remote Sensing |
description |
We present a new algorithm for retrieving sea ice concentration from the AMSR-E data, the dual-polarized ratio (DPR) algorithm. The DPR algorithm is developed using vertically and horizontally polarized brightness temperatures at the same channel of 36.5 GHz. It depends on the ratio of dual-polarized emissivity, α, which is determined empirically at about 0.92 by remotely sensed brightness temperature in winter and used for the other seasons as well. The ice concentration retrieved by the DPR is compared with those by the NT2 and ABA algorithms. Since the main difference among these algorithms takes place in marginal ice zones, 17 marginal ice zones are chosen. The retrieved ice concentrations in these zones are examined by the ice concentration obtained by the MODIS data. The mean error, root-mean-square error and mean absolute error of the DPR algorithm are relatively better than those from the other two algorithms. The results of this study illustrate that the DPR algorithm is a more accurate algorithm for retrieving sea ice concentration from the AMSR-E brightness temperature, and can be used for operational purposes. © 2013 The Oceanographic Society of Japan and Springer Japan. |
format |
Text |
author |
Zhang, Shugang Zhao, Jinping Frey, Karen Su, Jie |
author_facet |
Zhang, Shugang Zhao, Jinping Frey, Karen Su, Jie |
author_sort |
Zhang, Shugang |
title |
Dual-polarized ratio algorithm for retrieving Arctic sea ice concentration from passive microwave brightness temperature |
title_short |
Dual-polarized ratio algorithm for retrieving Arctic sea ice concentration from passive microwave brightness temperature |
title_full |
Dual-polarized ratio algorithm for retrieving Arctic sea ice concentration from passive microwave brightness temperature |
title_fullStr |
Dual-polarized ratio algorithm for retrieving Arctic sea ice concentration from passive microwave brightness temperature |
title_full_unstemmed |
Dual-polarized ratio algorithm for retrieving Arctic sea ice concentration from passive microwave brightness temperature |
title_sort |
dual-polarized ratio algorithm for retrieving arctic sea ice concentration from passive microwave brightness temperature |
publisher |
Clark Digital Commons |
publishDate |
2013 |
url |
https://commons.clarku.edu/faculty_geography/227 https://doi.org/10.1007/s10872-012-0167-z |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Geography |
op_relation |
https://commons.clarku.edu/faculty_geography/227 doi:10.1007/s10872-012-0167-z https://doi.org/10.1007/s10872-012-0167-z |
op_doi |
https://doi.org/10.1007/s10872-012-0167-z |
container_title |
Journal of Oceanography |
container_volume |
69 |
container_issue |
2 |
container_start_page |
215 |
op_container_end_page |
227 |
_version_ |
1776198446702657536 |