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

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 (T<i>&l...

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Main Authors: Haihua Chen, Kun Ni, Jun Liu, Lele Li
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/17/4191
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author Haihua Chen
Kun Ni
Jun Liu
Lele Li
author_facet Haihua Chen
Kun Ni
Jun Liu
Lele Li
author_sort Haihua Chen
collection DOAJ
description 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 (T<i><sub>b</sub></i>) 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 T<i><sub>b</sub></i> data. In 2019, for the final Arctic SIM results retrieved from the MWRI 89 GHz and 36.5 GHz T<i><sub>b</sub></i> 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 T<i><sub>b</sub></i> data in this research also showed a good agreement with the monthly average of the NSIDC SIM product. The comparison showed that the MWRI T<i><sub>b</sub></i> data could be used to retrieve the Arctic SIM, and the Arctic SIM retrieval method presented in this paper was accurate and general.
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spelling doaj.art-c7054b61aeae4bdf872da1ecdcb82e7c2023-11-19T08:45:43ZengMDPI AGRemote Sensing2072-42922023-08-011517419110.3390/rs15174191Retrieval of Arctic Sea Ice Motion from FY-3D/MWRI Brightness Temperature DataHaihua Chen0Kun Ni1Jun Liu2Lele Li3College of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, ChinaCollege of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, ChinaCollege of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, ChinaCollege of Marine Technology, Faculty of Information Science and Engineering, Ocean University of China, Qingdao 266100, ChinaSea 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 (T<i><sub>b</sub></i>) 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 T<i><sub>b</sub></i> data. In 2019, for the final Arctic SIM results retrieved from the MWRI 89 GHz and 36.5 GHz T<i><sub>b</sub></i> 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 T<i><sub>b</sub></i> data in this research also showed a good agreement with the monthly average of the NSIDC SIM product. The comparison showed that the MWRI T<i><sub>b</sub></i> data could be used to retrieve the Arctic SIM, and the Arctic SIM retrieval method presented in this paper was accurate and general.https://www.mdpi.com/2072-4292/15/17/4191arctic sea ice motion (SIM)FY-3D/MWRIbrightness temperaturemaximum cross-correlation
spellingShingle Haihua Chen
Kun Ni
Jun Liu
Lele Li
Retrieval of Arctic Sea Ice Motion from FY-3D/MWRI Brightness Temperature Data
Remote Sensing
arctic sea ice motion (SIM)
FY-3D/MWRI
brightness temperature
maximum cross-correlation
title Retrieval of Arctic Sea Ice Motion from FY-3D/MWRI Brightness Temperature Data
title_full Retrieval of Arctic Sea Ice Motion from FY-3D/MWRI Brightness Temperature Data
title_fullStr Retrieval of Arctic Sea Ice Motion from FY-3D/MWRI Brightness Temperature Data
title_full_unstemmed Retrieval of Arctic Sea Ice Motion from FY-3D/MWRI Brightness Temperature Data
title_short Retrieval of Arctic Sea Ice Motion from FY-3D/MWRI Brightness Temperature Data
title_sort retrieval of arctic sea ice motion from fy 3d mwri brightness temperature data
topic arctic sea ice motion (SIM)
FY-3D/MWRI
brightness temperature
maximum cross-correlation
url https://www.mdpi.com/2072-4292/15/17/4191
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AT kunni retrievalofarcticseaicemotionfromfy3dmwribrightnesstemperaturedata
AT junliu retrievalofarcticseaicemotionfromfy3dmwribrightnesstemperaturedata
AT leleli retrievalofarcticseaicemotionfromfy3dmwribrightnesstemperaturedata