Inter-comparison and evaluation of Arctic sea ice type products
Arctic sea ice type (SITY) variation is a sensitive indicator of climate change. However, systematic inter-comparison and analysis for SITY products are lacking. This study analysed eight daily SITY products from five retrieval approaches covering the winters of 1999–2019, including purely radiomete...
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2023
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ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00064565 2023-05-15T14:56:45+02:00 Inter-comparison and evaluation of Arctic sea ice type products Ye, Yufang Luo, Yanbing Sun, Yan Shokr, Mohammed Aaboe, Signe Girard-Ardhuin, Fanny Hui, Fengming Cheng, Xiao Chen, Zhuoqi 2023-01 electronic https://doi.org/10.5194/tc-17-279-2023 https://noa.gwlb.de/receive/cop_mods_00064565 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00063320/tc-17-279-2023.pdf https://tc.copernicus.org/articles/17/279/2023/tc-17-279-2023.pdf eng eng Copernicus Publications The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-17-279-2023 https://noa.gwlb.de/receive/cop_mods_00064565 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00063320/tc-17-279-2023.pdf https://tc.copernicus.org/articles/17/279/2023/tc-17-279-2023.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2023 ftnonlinearchiv https://doi.org/10.5194/tc-17-279-2023 2023-01-23T00:13:25Z Arctic sea ice type (SITY) variation is a sensitive indicator of climate change. However, systematic inter-comparison and analysis for SITY products are lacking. This study analysed eight daily SITY products from five retrieval approaches covering the winters of 1999–2019, including purely radiometer-based (C3S-SITY), scatterometer-based (KNMI-SITY and IFREMER-SITY) and combined ones (OSISAF-SITY and Zhang-SITY). These SITY products were inter-compared against a weekly sea ice age product (i.e. NSIDC-SIA – National Snow and Ice Data Center sea ice age) and evaluated with five synthetic aperture radar (SAR) images. The average Arctic multiyear ice (MYI) extent difference between the SITY products and NSIDC-SIA varies from -1.32×106 to 0.49×106 km2. Among them, KNMI-SITY and Zhang-SITY in the QuikSCAT (QSCAT) period (2002–2009) agree best with NSIDC-SIA and perform the best, with the smallest bias of -0.001×106 km2 in first-year ice (FYI) extent and -0.02×106 km2 in MYI extent. In the Advanced Scatterometer (ASCAT) period (2007–2019), KNMI-SITY tends to overestimate MYI (especially in early winter), whereas Zhang-SITY and IFREMER-SITY tend to underestimate MYI. C3S-SITY performs well in some early winter cases but exhibits large temporal variabilities like OSISAF-SITY. Factors that could impact performances of the SITY products are analysed and summarized. (1) The Ku-band scatterometer generally performs better than the C-band scatterometer for SITY discrimination, while the latter sometimes identifies FYI more accurately, especially when surface scattering dominates the backscatter signature. (2) A simple combination of scatterometer and radiometer data is not always beneficial without further rules of priority. (3) The representativeness of training data and efficiency of classification are crucial for SITY classification. Spatial and temporal variation in characteristic training datasets should be well accounted for in the SITY method. (4) Post-processing corrections play important roles and should be ... Article in Journal/Newspaper Arctic Climate change National Snow and Ice Data Center Sea ice The Cryosphere Niedersächsisches Online-Archiv NOA Arctic The Cryosphere 17 1 279 308 |
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English |
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article Verlagsveröffentlichung |
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article Verlagsveröffentlichung Ye, Yufang Luo, Yanbing Sun, Yan Shokr, Mohammed Aaboe, Signe Girard-Ardhuin, Fanny Hui, Fengming Cheng, Xiao Chen, Zhuoqi Inter-comparison and evaluation of Arctic sea ice type products |
topic_facet |
article Verlagsveröffentlichung |
description |
Arctic sea ice type (SITY) variation is a sensitive indicator of climate change. However, systematic inter-comparison and analysis for SITY products are lacking. This study analysed eight daily SITY products from five retrieval approaches covering the winters of 1999–2019, including purely radiometer-based (C3S-SITY), scatterometer-based (KNMI-SITY and IFREMER-SITY) and combined ones (OSISAF-SITY and Zhang-SITY). These SITY products were inter-compared against a weekly sea ice age product (i.e. NSIDC-SIA – National Snow and Ice Data Center sea ice age) and evaluated with five synthetic aperture radar (SAR) images. The average Arctic multiyear ice (MYI) extent difference between the SITY products and NSIDC-SIA varies from -1.32×106 to 0.49×106 km2. Among them, KNMI-SITY and Zhang-SITY in the QuikSCAT (QSCAT) period (2002–2009) agree best with NSIDC-SIA and perform the best, with the smallest bias of -0.001×106 km2 in first-year ice (FYI) extent and -0.02×106 km2 in MYI extent. In the Advanced Scatterometer (ASCAT) period (2007–2019), KNMI-SITY tends to overestimate MYI (especially in early winter), whereas Zhang-SITY and IFREMER-SITY tend to underestimate MYI. C3S-SITY performs well in some early winter cases but exhibits large temporal variabilities like OSISAF-SITY. Factors that could impact performances of the SITY products are analysed and summarized. (1) The Ku-band scatterometer generally performs better than the C-band scatterometer for SITY discrimination, while the latter sometimes identifies FYI more accurately, especially when surface scattering dominates the backscatter signature. (2) A simple combination of scatterometer and radiometer data is not always beneficial without further rules of priority. (3) The representativeness of training data and efficiency of classification are crucial for SITY classification. Spatial and temporal variation in characteristic training datasets should be well accounted for in the SITY method. (4) Post-processing corrections play important roles and should be ... |
format |
Article in Journal/Newspaper |
author |
Ye, Yufang Luo, Yanbing Sun, Yan Shokr, Mohammed Aaboe, Signe Girard-Ardhuin, Fanny Hui, Fengming Cheng, Xiao Chen, Zhuoqi |
author_facet |
Ye, Yufang Luo, Yanbing Sun, Yan Shokr, Mohammed Aaboe, Signe Girard-Ardhuin, Fanny Hui, Fengming Cheng, Xiao Chen, Zhuoqi |
author_sort |
Ye, Yufang |
title |
Inter-comparison and evaluation of Arctic sea ice type products |
title_short |
Inter-comparison and evaluation of Arctic sea ice type products |
title_full |
Inter-comparison and evaluation of Arctic sea ice type products |
title_fullStr |
Inter-comparison and evaluation of Arctic sea ice type products |
title_full_unstemmed |
Inter-comparison and evaluation of Arctic sea ice type products |
title_sort |
inter-comparison and evaluation of arctic sea ice type products |
publisher |
Copernicus Publications |
publishDate |
2023 |
url |
https://doi.org/10.5194/tc-17-279-2023 https://noa.gwlb.de/receive/cop_mods_00064565 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00063320/tc-17-279-2023.pdf https://tc.copernicus.org/articles/17/279/2023/tc-17-279-2023.pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change National Snow and Ice Data Center Sea ice The Cryosphere |
genre_facet |
Arctic Climate change National Snow and Ice Data Center Sea ice The Cryosphere |
op_relation |
The Cryosphere -- ˜Theœ Cryosphere -- http://www.bibliothek.uni-regensburg.de/ezeit/?2393169 -- http://www.the-cryosphere.net/ -- 1994-0424 https://doi.org/10.5194/tc-17-279-2023 https://noa.gwlb.de/receive/cop_mods_00064565 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00063320/tc-17-279-2023.pdf https://tc.copernicus.org/articles/17/279/2023/tc-17-279-2023.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.5194/tc-17-279-2023 |
container_title |
The Cryosphere |
container_volume |
17 |
container_issue |
1 |
container_start_page |
279 |
op_container_end_page |
308 |
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1766328828103229440 |