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 (Tb) data bas...

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Published in:Remote Sensing
Main Authors: Haihua Chen, Kun Ni, Jun Liu, Lele Li
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2023
Subjects:
Online Access:https://doi.org/10.3390/rs15174191
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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 MDPI Open Access Publishing
container_issue 17
container_start_page 4191
container_title Remote Sensing
container_volume 15
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 (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.
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genre Arctic
National Snow and Ice Data Center
Sea ice
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op_doi https://doi.org/10.3390/rs15174191
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op_rights https://creativecommons.org/licenses/by/4.0/
op_source Remote Sensing; Volume 15; Issue 17; Pages: 4191
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spelling ftmdpi:oai:mdpi.com:/2072-4292/15/17/4191/ 2025-01-16T20:08:44+00:00 Retrieval of Arctic Sea Ice Motion from FY-3D/MWRI Brightness Temperature Data Haihua Chen Kun Ni Jun Liu Lele Li agris 2023-08-25 application/pdf https://doi.org/10.3390/rs15174191 EN eng Multidisciplinary Digital Publishing Institute Ocean Remote Sensing https://dx.doi.org/10.3390/rs15174191 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 15; Issue 17; Pages: 4191 arctic sea ice motion (SIM) FY-3D/MWRI brightness temperature maximum cross-correlation Text 2023 ftmdpi https://doi.org/10.3390/rs15174191 2023-08-27T23:54:08Z 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. Text Arctic National Snow and Ice Data Center Sea ice MDPI Open Access Publishing Arctic Remote Sensing 15 17 4191
spellingShingle arctic sea ice motion (SIM)
FY-3D/MWRI
brightness temperature
maximum cross-correlation
Haihua Chen
Kun Ni
Jun Liu
Lele Li
Retrieval of Arctic Sea Ice Motion from FY-3D/MWRI Brightness Temperature Data
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
topic_facet arctic sea ice motion (SIM)
FY-3D/MWRI
brightness temperature
maximum cross-correlation
url https://doi.org/10.3390/rs15174191