Inter-comparison and evaluation of Arctic sea ice type products
International audience Arctic sea ice type (SIT) variation is a sensitive indicator of climate change. However, systematic inter-comparison and analysis for SIT products are lacking. This study analyzed nine SIT products from five SIT retrieval approaches covering the winters from 1999 to 2018. Thes...
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ftinsu:oai:HAL:hal-04203795v1 2024-04-21T08:00:09+00:00 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 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) 2023-01 https://hal.science/hal-04203795 https://hal.science/hal-04203795/document https://hal.science/hal-04203795/file/tc-2022-95.pdf https://doi.org/10.5194/tc-2022-95 en eng HAL CCSD Copernicus info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-2022-95 hal-04203795 https://hal.science/hal-04203795 https://hal.science/hal-04203795/document https://hal.science/hal-04203795/file/tc-2022-95.pdf doi:10.5194/tc-2022-95 http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess ISSN: 1994-0432 EISSN: 1994-0440 The Cryosphere Discussions https://hal.science/hal-04203795 The Cryosphere Discussions, 2023, 17 (1), pp.279-308. ⟨10.5194/tc-2022-95⟩ [SDU]Sciences of the Universe [physics] info:eu-repo/semantics/article Journal articles 2023 ftinsu https://doi.org/10.5194/tc-2022-95 2024-04-05T00:26:21Z International audience Arctic sea ice type (SIT) variation is a sensitive indicator of climate change. However, systematic inter-comparison and analysis for SIT products are lacking. This study analyzed nine SIT products from five SIT retrieval approaches covering the winters from 1999 to 2018. These SIT products were inter-compared towards sea ice age product and evaluated with Synthetic Aperture Radar images. Among all, the largest daily Arctic multiyear ice (MYI) extent difference reaches 4.5× 106 km2, while that in monthly data varies between 0.6× 103 km2 and 3.6× 106 km2. Overall speaking, the Zhang- and KNMI-SIT products based on Ku-band scatterometer perform the best. However, when using C-band scatterometer, KNMI-SIT shows overestimation of MYI in the early winter, and Zhang-SIT shows underestimation with anomalous fluctuations. C3S- and OSISAF-SIT show large daily variability. IFREMER-SIT generally underestimates MYI. Factors that could impact their performances are analyzed and summarized: (1) Ku-band scatterometer generally performs better than C-band scatterometer on SIT discrimination, while the latter sometimes identifies first-year ice (FYI) more accurately, especially when FYI and MYI are highly mixed. (2) Simple combination of scatterometer and radiometer data is not always beneficial, e.g. under circumstances with strong atmospheric influence on microwave signatures. (3) The representativeness of training data and efficiency of classification are crucial for SIT classification. Spatial and temporal variation of characteristic training dataset should be well accounted in the SIT method. Additionally, the change of separation pattern of microwave data could influence the adaptive classification method. (4) Post-processing corrections play important roles and should be considered with caution. Article in Journal/Newspaper Climate change Sea ice The Cryosphere The Cryosphere Discussions Institut national des sciences de l'Univers: HAL-INSU Polar Biology |
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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] 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 |
[SDU]Sciences of the Universe [physics] |
description |
International audience Arctic sea ice type (SIT) variation is a sensitive indicator of climate change. However, systematic inter-comparison and analysis for SIT products are lacking. This study analyzed nine SIT products from five SIT retrieval approaches covering the winters from 1999 to 2018. These SIT products were inter-compared towards sea ice age product and evaluated with Synthetic Aperture Radar images. Among all, the largest daily Arctic multiyear ice (MYI) extent difference reaches 4.5× 106 km2, while that in monthly data varies between 0.6× 103 km2 and 3.6× 106 km2. Overall speaking, the Zhang- and KNMI-SIT products based on Ku-band scatterometer perform the best. However, when using C-band scatterometer, KNMI-SIT shows overestimation of MYI in the early winter, and Zhang-SIT shows underestimation with anomalous fluctuations. C3S- and OSISAF-SIT show large daily variability. IFREMER-SIT generally underestimates MYI. Factors that could impact their performances are analyzed and summarized: (1) Ku-band scatterometer generally performs better than C-band scatterometer on SIT discrimination, while the latter sometimes identifies first-year ice (FYI) more accurately, especially when FYI and MYI are highly mixed. (2) Simple combination of scatterometer and radiometer data is not always beneficial, e.g. under circumstances with strong atmospheric influence on microwave signatures. (3) The representativeness of training data and efficiency of classification are crucial for SIT classification. Spatial and temporal variation of characteristic training dataset should be well accounted in the SIT method. Additionally, the change of separation pattern of microwave data could influence the adaptive classification method. (4) Post-processing corrections play important roles and should be considered with caution. |
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 |
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 |
HAL CCSD |
publishDate |
2023 |
url |
https://hal.science/hal-04203795 https://hal.science/hal-04203795/document https://hal.science/hal-04203795/file/tc-2022-95.pdf https://doi.org/10.5194/tc-2022-95 |
genre |
Climate change Sea ice The Cryosphere The Cryosphere Discussions |
genre_facet |
Climate change Sea ice The Cryosphere The Cryosphere Discussions |
op_source |
ISSN: 1994-0432 EISSN: 1994-0440 The Cryosphere Discussions https://hal.science/hal-04203795 The Cryosphere Discussions, 2023, 17 (1), pp.279-308. ⟨10.5194/tc-2022-95⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/tc-2022-95 hal-04203795 https://hal.science/hal-04203795 https://hal.science/hal-04203795/document https://hal.science/hal-04203795/file/tc-2022-95.pdf doi:10.5194/tc-2022-95 |
op_rights |
http://creativecommons.org/licenses/by/ info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/tc-2022-95 |
container_title |
Polar Biology |
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1796940701041164288 |