Retrieval of Arctic Sea Ice Motion from FY-3D/MWRI Brightness Temperature Data

Author:

Chen Haihua1ORCID,Ni Kun12ORCID,Liu Jun1,Li Lele1

Affiliation:

1. College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, China

2. Aerospace Times FeiHong Technology Company Limited, Beijing 100094, China

Abstract

Sea ice motion (SIM) has significant implications for sea–air interactions, thermohaline circulation, and the development of the Arctic passage. This research proposes an improved SIM retrieval method from Fengyun-3D’s (FY-3D) microwave radiometer imager’s (MWRI) brightness temperature (Tb) data based on the modified classical maximum cross-correlation (MCC) method and the multisource data merging method. This study utilized buoy data to establish the search area range, applied distinct thresholds across various Arctic regions, and merged the buoy data, reanalysis wind data, and SIM retrieved from FY-3D/MWRI Tb data. In 2019, for the final Arctic SIM results retrieved from the MWRI 89 GHz and 36.5 GHz Tb data, the root-mean-square error (RMSE) and the mean average error (MAE) in the east–west direction were 2.07 cm/s and 1.38 cm/s and those in the north–south direction were 1.96 cm/s and 1.15 cm/s, compared to the ice-tethered profiler (ITP) data. Compared with the daily average data of the National Snow and Ice Data Center (NSIDC), the RMSE and MAE of the SIM results obtained in this study were 0.74 cm/s and 0.93 cm/s in the east–west direction, and 0.56 cm/s and 0.72 cm/s in the north–south direction, respectively. The monthly average of the SIM retrieved from the MWRI Tb data in this research also showed a good agreement with the monthly average of the NSIDC SIM product. The comparison showed that the MWRI Tb data could be used to retrieve the Arctic SIM, and the Arctic SIM retrieval method presented in this paper was accurate and general.

Funder

national key research and development project of China

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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3. Liu, N., Chen, H., Ni, K., and Li, L. (2022). Retrieval of Thin Ice Thickness from FY-3D/MWRI Brightness Temperature in the Arctic. [Master’s Thesis, The Ocean University of China].

4. Zuo, Z.D. (2016). The Characteristics of Arctic Sea Ice Motion and the Effects of Arctic Cyclone on It. [Master’s Thesis, Shanghai Ocean University].

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