A new sea ice concentration product in the polar regions derived from the FengYun-3 MWRI sensors

Sea ice concentration (SIC) is the main variable for quantifying the sea ice change in the polar regions. Continuous SIC data is very important for the studies of climate and polar marine environments. This study generates a new SIC product covering the Arctic and Antarctic from November 2010 to Dec...

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Main Authors: Chen, Ying, Zhao, Xi, Lei, Ruibo, Wu, Shengli, Liu, Yue, Fan, Pei, Ji, Qing, Zhang, Peng, Pang, Xiaoping
Format: Text
Language:English
Published: 2022
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Online Access:https://doi.org/10.5194/essd-2022-186
https://essd.copernicus.org/preprints/essd-2022-186/
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spelling ftcopernicus:oai:publications.copernicus.org:essdd103898 2023-05-15T13:38:41+02:00 A new sea ice concentration product in the polar regions derived from the FengYun-3 MWRI sensors Chen, Ying Zhao, Xi Lei, Ruibo Wu, Shengli Liu, Yue Fan, Pei Ji, Qing Zhang, Peng Pang, Xiaoping 2022-09-16 application/pdf https://doi.org/10.5194/essd-2022-186 https://essd.copernicus.org/preprints/essd-2022-186/ eng eng doi:10.5194/essd-2022-186 https://essd.copernicus.org/preprints/essd-2022-186/ eISSN: 1866-3516 Text 2022 ftcopernicus https://doi.org/10.5194/essd-2022-186 2022-09-19T16:22:54Z Sea ice concentration (SIC) is the main variable for quantifying the sea ice change in the polar regions. Continuous SIC data is very important for the studies of climate and polar marine environments. This study generates a new SIC product covering the Arctic and Antarctic from November 2010 to December 2019. It is the first long-term SIC product derived from the Microwave Radiation Imager (MWRI) sensors onboard the Chinese FengYun-3B, -3C, and -3D satellites, after a recent re-calibration of brightness temperature. We also modified the preliminary dynamic tie points Arctic Radiation and Turbulence Interaction Study Sea Ice (ASI) algorithm mainly through input TB and initial tie points. The MWRI-ASI SIC was compared to the existing ASI SIC products and validated using ship-based SIC observations. Results show that the MWRI-ASI SIC mostly coincides with the ASI SIC obtained from the Special Sensor Microwave Imager series sensors, with overall biases of -1.4 ± 1.8 % in the Arctic and 0.5 ± 2.2 % in the Antarctic, respectively. The overall mean absolute deviation between the MWRI-ASI SIC and ship-based SIC is 16.1 % and 17.1 % in the Arctic and Antarctic, respectively, which is close to the existing ASI SIC products. The trend of sea ice extent (SIE) derived from MWRI-ASI SIC closely agrees with those of the Sea Ice Index SIEs provided by OSI-SAF and NSIDC. Therefore, the MWRI-ASI SIC is comparable with other SIC products and is qualified to be integrated into long-term sea ice records. The MWRI-ASI SIC dataset is available at https://doi.pangaea.de/10.1594/PANGAEA.945188 (Chen et al., 2022). Text Antarc* Antarctic Arctic Sea ice Copernicus Publications: E-Journals Antarctic Arctic The Antarctic
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Sea ice concentration (SIC) is the main variable for quantifying the sea ice change in the polar regions. Continuous SIC data is very important for the studies of climate and polar marine environments. This study generates a new SIC product covering the Arctic and Antarctic from November 2010 to December 2019. It is the first long-term SIC product derived from the Microwave Radiation Imager (MWRI) sensors onboard the Chinese FengYun-3B, -3C, and -3D satellites, after a recent re-calibration of brightness temperature. We also modified the preliminary dynamic tie points Arctic Radiation and Turbulence Interaction Study Sea Ice (ASI) algorithm mainly through input TB and initial tie points. The MWRI-ASI SIC was compared to the existing ASI SIC products and validated using ship-based SIC observations. Results show that the MWRI-ASI SIC mostly coincides with the ASI SIC obtained from the Special Sensor Microwave Imager series sensors, with overall biases of -1.4 ± 1.8 % in the Arctic and 0.5 ± 2.2 % in the Antarctic, respectively. The overall mean absolute deviation between the MWRI-ASI SIC and ship-based SIC is 16.1 % and 17.1 % in the Arctic and Antarctic, respectively, which is close to the existing ASI SIC products. The trend of sea ice extent (SIE) derived from MWRI-ASI SIC closely agrees with those of the Sea Ice Index SIEs provided by OSI-SAF and NSIDC. Therefore, the MWRI-ASI SIC is comparable with other SIC products and is qualified to be integrated into long-term sea ice records. The MWRI-ASI SIC dataset is available at https://doi.pangaea.de/10.1594/PANGAEA.945188 (Chen et al., 2022).
format Text
author Chen, Ying
Zhao, Xi
Lei, Ruibo
Wu, Shengli
Liu, Yue
Fan, Pei
Ji, Qing
Zhang, Peng
Pang, Xiaoping
spellingShingle Chen, Ying
Zhao, Xi
Lei, Ruibo
Wu, Shengli
Liu, Yue
Fan, Pei
Ji, Qing
Zhang, Peng
Pang, Xiaoping
A new sea ice concentration product in the polar regions derived from the FengYun-3 MWRI sensors
author_facet Chen, Ying
Zhao, Xi
Lei, Ruibo
Wu, Shengli
Liu, Yue
Fan, Pei
Ji, Qing
Zhang, Peng
Pang, Xiaoping
author_sort Chen, Ying
title A new sea ice concentration product in the polar regions derived from the FengYun-3 MWRI sensors
title_short A new sea ice concentration product in the polar regions derived from the FengYun-3 MWRI sensors
title_full A new sea ice concentration product in the polar regions derived from the FengYun-3 MWRI sensors
title_fullStr A new sea ice concentration product in the polar regions derived from the FengYun-3 MWRI sensors
title_full_unstemmed A new sea ice concentration product in the polar regions derived from the FengYun-3 MWRI sensors
title_sort new sea ice concentration product in the polar regions derived from the fengyun-3 mwri sensors
publishDate 2022
url https://doi.org/10.5194/essd-2022-186
https://essd.copernicus.org/preprints/essd-2022-186/
geographic Antarctic
Arctic
The Antarctic
geographic_facet Antarctic
Arctic
The Antarctic
genre Antarc*
Antarctic
Arctic
Sea ice
genre_facet Antarc*
Antarctic
Arctic
Sea ice
op_source eISSN: 1866-3516
op_relation doi:10.5194/essd-2022-186
https://essd.copernicus.org/preprints/essd-2022-186/
op_doi https://doi.org/10.5194/essd-2022-186
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