Preprints
https://doi.org/10.5194/essd-2022-186
https://doi.org/10.5194/essd-2022-186
16 Sep 2022
 | 16 Sep 2022
Status: a revised version of this preprint is currently under review for the journal ESSD.

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

Ying Chen, Xi Zhao, Ruibo Lei, Shengli Wu, Yue Liu, Pei Fan, Qing Ji, Peng Zhang, and Xiaoping Pang

Abstract. 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).

Ying Chen et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on essd-2022-186', Lars Kaleschke, 23 Sep 2022
    • AC1: 'Reply on RC1', Xiaoping Pang, 05 Jan 2023
  • RC2: 'Comment on essd-2022-186', Vishnu Nandan, 03 Dec 2022
    • AC2: 'Reply on RC2', Xiaoping Pang, 05 Jan 2023

Ying Chen et al.

Data sets

Sea ice concentration derived from temperature brightness data of the Microwave Radiation Imager sensors onboard the Chinese FengYun-3 satellites in the polar regions from 2010 to 2019 Chen, Ying; Pang, Xiaoping; Lei, Ruibo; Zhao, X (2022) https://doi.pangaea.de/10.1594/PANGAEA.945188

Ying Chen et al.

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Short summary
The sea ice concentration product derived from the Microwave Radiation Image sensors onboard the FengYun-3 satellites can reasonably identify the seasonal and long-term changes of sea ice, as well as the extreme cases of annual maximum and minimum sea ice extent in the polar regions, which is comparable with other sea ice concentration products and qualified to be integrated into long-term sea ice records, as well as applied to the studies of climate and polar marine environments.