Retrieving the Motion of Beaufort Sea Ice Using Brightness Temperature Data from FY-3D Microwave Radiometer Imager
Sea ice is an important marine phenomenon in the Arctic region, and it is of great importance to study the motion of Arctic sea ice in the present day when its melting is accelerated by global warming. This study proposes a method to retrieve the motion of sea ice based on the maximum cross-correlat...
Published in: | Sensors |
---|---|
Main Authors: | , , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2022
|
Subjects: | |
Online Access: | https://doi.org/10.3390/s22218298 |
_version_ | 1821825563341357056 |
---|---|
author | Kun Ni Haihua Chen Lele Li Xin Meng |
author_facet | Kun Ni Haihua Chen Lele Li Xin Meng |
author_sort | Kun Ni |
collection | MDPI Open Access Publishing |
container_issue | 21 |
container_start_page | 8298 |
container_title | Sensors |
container_volume | 22 |
description | Sea ice is an important marine phenomenon in the Arctic region, and it is of great importance to study the motion of Arctic sea ice in the present day when its melting is accelerated by global warming. This study proposes a method to retrieve the motion of sea ice based on the maximum cross-correlation (MCC) and the successive correction method (SCM). The proposed method can apply different scales of search ranges to template matching according to the location of sea ice in the Arctic area. In addition, the data assimilation method can assign different weights to different data. We used 36.5 GHz and 89 GHz brightness temperature (Tb) data from the microwave radiometer imager (MWRI) aboard the Fengyun-3D (FY-3D) satellite, for the first time in the literature, to retrieve the sea ice motion in the Beaufort Sea from January to April 2019. The retrieved sea ice motion results were in good agreement with those obtained from the motion of the buoys. Compared with the data from the buoys, the root mean-squared error (RMSE) of the sea ice motion retrieved from FY-3D/MWRI Tb data was 1.1418 cm/s in the zonal direction and 1.0481 cm/s in the meridional direction, and the mean absolute error (MAE) between them was 0.7166 cm/s in the zonal direction and 0.6777 cm/s in the meridional direction. The RMSE between the sea ice motion obtained from the National Snow and Ice Data Center (NSIDC) and the motion of the buoys was 0.9515 cm/s in the zonal direction and 0.67003 cm/s in the meridional direction, and the MAE between them was 0.6576 cm/s in the zonal direction and 0.4922 cm/s in the meridional direction. The RMSE of daily average velocity from the FY-3D/MWRI results and NSIDC data product was 2.2726 cm/s in zonal and 1.9270 cm/s in meridional, and the MAE was 1.5103 cm/s in zonal and 1.1071 cm/s in zonal. The density of the merged data was higher than that obtained from a single polarization or frequency in this paper. The results indicate that FY-3D/MWRI Tb data can retrieve the sea ice motion successfully. |
format | Text |
genre | Arctic Beaufort Sea Global warming National Snow and Ice Data Center Sea ice |
genre_facet | Arctic Beaufort Sea Global warming National Snow and Ice Data Center Sea ice |
geographic | Arctic |
geographic_facet | Arctic |
id | ftmdpi:oai:mdpi.com:/1424-8220/22/21/8298/ |
institution | Open Polar |
language | English |
op_collection_id | ftmdpi |
op_doi | https://doi.org/10.3390/s22218298 |
op_relation | Remote Sensors https://dx.doi.org/10.3390/s22218298 |
op_rights | https://creativecommons.org/licenses/by/4.0/ |
op_source | Sensors; Volume 22; Issue 21; Pages: 8298 |
publishDate | 2022 |
publisher | Multidisciplinary Digital Publishing Institute |
record_format | openpolar |
spelling | ftmdpi:oai:mdpi.com:/1424-8220/22/21/8298/ 2025-01-16T20:30:24+00:00 Retrieving the Motion of Beaufort Sea Ice Using Brightness Temperature Data from FY-3D Microwave Radiometer Imager Kun Ni Haihua Chen Lele Li Xin Meng 2022-10-29 application/pdf https://doi.org/10.3390/s22218298 EN eng Multidisciplinary Digital Publishing Institute Remote Sensors https://dx.doi.org/10.3390/s22218298 https://creativecommons.org/licenses/by/4.0/ Sensors; Volume 22; Issue 21; Pages: 8298 sea ice motion FengYun-3D brightness temperature maximum cross-correlation Text 2022 ftmdpi https://doi.org/10.3390/s22218298 2023-08-01T07:06:02Z Sea ice is an important marine phenomenon in the Arctic region, and it is of great importance to study the motion of Arctic sea ice in the present day when its melting is accelerated by global warming. This study proposes a method to retrieve the motion of sea ice based on the maximum cross-correlation (MCC) and the successive correction method (SCM). The proposed method can apply different scales of search ranges to template matching according to the location of sea ice in the Arctic area. In addition, the data assimilation method can assign different weights to different data. We used 36.5 GHz and 89 GHz brightness temperature (Tb) data from the microwave radiometer imager (MWRI) aboard the Fengyun-3D (FY-3D) satellite, for the first time in the literature, to retrieve the sea ice motion in the Beaufort Sea from January to April 2019. The retrieved sea ice motion results were in good agreement with those obtained from the motion of the buoys. Compared with the data from the buoys, the root mean-squared error (RMSE) of the sea ice motion retrieved from FY-3D/MWRI Tb data was 1.1418 cm/s in the zonal direction and 1.0481 cm/s in the meridional direction, and the mean absolute error (MAE) between them was 0.7166 cm/s in the zonal direction and 0.6777 cm/s in the meridional direction. The RMSE between the sea ice motion obtained from the National Snow and Ice Data Center (NSIDC) and the motion of the buoys was 0.9515 cm/s in the zonal direction and 0.67003 cm/s in the meridional direction, and the MAE between them was 0.6576 cm/s in the zonal direction and 0.4922 cm/s in the meridional direction. The RMSE of daily average velocity from the FY-3D/MWRI results and NSIDC data product was 2.2726 cm/s in zonal and 1.9270 cm/s in meridional, and the MAE was 1.5103 cm/s in zonal and 1.1071 cm/s in zonal. The density of the merged data was higher than that obtained from a single polarization or frequency in this paper. The results indicate that FY-3D/MWRI Tb data can retrieve the sea ice motion successfully. Text Arctic Beaufort Sea Global warming National Snow and Ice Data Center Sea ice MDPI Open Access Publishing Arctic Sensors 22 21 8298 |
spellingShingle | sea ice motion FengYun-3D brightness temperature maximum cross-correlation Kun Ni Haihua Chen Lele Li Xin Meng Retrieving the Motion of Beaufort Sea Ice Using Brightness Temperature Data from FY-3D Microwave Radiometer Imager |
title | Retrieving the Motion of Beaufort Sea Ice Using Brightness Temperature Data from FY-3D Microwave Radiometer Imager |
title_full | Retrieving the Motion of Beaufort Sea Ice Using Brightness Temperature Data from FY-3D Microwave Radiometer Imager |
title_fullStr | Retrieving the Motion of Beaufort Sea Ice Using Brightness Temperature Data from FY-3D Microwave Radiometer Imager |
title_full_unstemmed | Retrieving the Motion of Beaufort Sea Ice Using Brightness Temperature Data from FY-3D Microwave Radiometer Imager |
title_short | Retrieving the Motion of Beaufort Sea Ice Using Brightness Temperature Data from FY-3D Microwave Radiometer Imager |
title_sort | retrieving the motion of beaufort sea ice using brightness temperature data from fy-3d microwave radiometer imager |
topic | sea ice motion FengYun-3D brightness temperature maximum cross-correlation |
topic_facet | sea ice motion FengYun-3D brightness temperature maximum cross-correlation |
url | https://doi.org/10.3390/s22218298 |