Retrieval of sea ice drift in the Fram Strait based on data from Chinese satellite HaiYang (HY-1D)
<p>Melting of sea ice in the Arctic has accelerated due to global warming. The Fram Strait (FS) serves as a crucial pathway for sea ice export from the Arctic to the North Atlantic Ocean. Monitoring sea ice drift (SID) in the FS provides insight into how Arctic sea ice responds to the climate...
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Copernicus Publications
2024-03-01
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Series: | The Cryosphere |
Online Access: | https://tc.copernicus.org/articles/18/1419/2024/tc-18-1419-2024.pdf |
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author | D. Lu D. Lu D. Lu J. Liu J. Liu L. Shi L. Shi T. Zeng T. Zeng B. Cheng S. Wu S. Wu M. Wang M. Wang M. Wang |
author_facet | D. Lu D. Lu D. Lu J. Liu J. Liu L. Shi L. Shi T. Zeng T. Zeng B. Cheng S. Wu S. Wu M. Wang M. Wang M. Wang |
author_sort | D. Lu |
collection | DOAJ |
description | <p>Melting of sea ice in the Arctic has accelerated due to global warming. The Fram Strait (FS) serves as a crucial pathway for sea ice export from the Arctic to the North Atlantic Ocean. Monitoring sea ice drift (SID) in the FS provides insight into how Arctic sea ice responds to the climate change. The SID has been retrieved from Sentinel-1 synthetic aperture radar (SAR), Advanced Very High Resolution Radiometer (AVHRR), Moderate Resolution Imaging Spectroradiometer (MODIS), and Advanced Microwave Scanning Radiometer for EOS (AMSR-E), and further exploration is needed for the retrieval of SID using optical imagery. In this paper, we retrieve SID in the FS using the Chinese HaiYang1-D (HY-1D) satellite equipped with the Coastal Zone Imager (CZI). A multi-template matching technique is employed to calculate the cross-correlation, and subpixel estimation is used to locate displacement vectors from the cross-correlation matrix. The dataset covering March to May 2021 was divided into hourly and daily intervals for analysis, and validation was performed using Copernicus Marine Environment Monitoring Service (CMEMS) SAR-based product and International Arctic Buoy Programme (IABP) buoy. A comparison with the CMEMS SID product revealed a high correlation with the daily interval dataset; however, due to the spatial and temporal variability in the sea ice motion, differences are observed with the hourly interval dataset. Additionally, validation with the IABP buoys yielded a velocity bias of <span class="inline-formula">−0.005</span> m s<span class="inline-formula"><sup>−1</sup></span> and RMSE of 0.031 m s<span class="inline-formula"><sup>−1</sup></span> for the daily interval dataset, along with a flow direction bias of 0.002 rad and RMSE of 0.009 rad, respectively. For the hourly interval dataset, the velocity bias was negligible (0 m s<span class="inline-formula"><sup>−1</sup></span>), with a RMSE of 0.036 m s<span class="inline-formula"><sup>−1</sup></span>, while the flow direction bias was 0.003 rad, with a RMSE of 0.010 rad. In addition, during the validation with buoys, we found that the accuracy of retrieving the SID flow direction is distinctly interrelated with the sea ice displacement.</p> |
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spelling | doaj.art-d81e9f489810473d8fc20ea7d38cd1282024-03-28T10:25:12ZengCopernicus PublicationsThe Cryosphere1994-04161994-04242024-03-01181419144110.5194/tc-18-1419-2024Retrieval of sea ice drift in the Fram Strait based on data from Chinese satellite HaiYang (HY-1D)D. Lu0D. Lu1D. Lu2J. Liu3J. Liu4L. Shi5L. Shi6T. Zeng7T. Zeng8B. Cheng9S. Wu10S. Wu11M. Wang12M. Wang13M. Wang14National Marine Environmental Forecasting Center, Beijing 100081, ChinaNational Satellite Ocean Application Service, Beijing 100081, ChinaKey Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, ChinaNational Satellite Ocean Application Service, Beijing 100081, ChinaKey Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, ChinaNational Satellite Ocean Application Service, Beijing 100081, ChinaKey Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, ChinaNational Satellite Ocean Application Service, Beijing 100081, ChinaKey Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, ChinaFinnish Meteorological Institute, Helsinki 00101, FinlandNational Satellite Ocean Application Service, Beijing 100081, ChinaKey Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, ChinaNational Marine Environmental Forecasting Center, Beijing 100081, ChinaNational Satellite Ocean Application Service, Beijing 100081, ChinaKey Laboratory of Space Ocean Remote Sensing and Application, Ministry of Natural Resources, Beijing 100081, China<p>Melting of sea ice in the Arctic has accelerated due to global warming. The Fram Strait (FS) serves as a crucial pathway for sea ice export from the Arctic to the North Atlantic Ocean. Monitoring sea ice drift (SID) in the FS provides insight into how Arctic sea ice responds to the climate change. The SID has been retrieved from Sentinel-1 synthetic aperture radar (SAR), Advanced Very High Resolution Radiometer (AVHRR), Moderate Resolution Imaging Spectroradiometer (MODIS), and Advanced Microwave Scanning Radiometer for EOS (AMSR-E), and further exploration is needed for the retrieval of SID using optical imagery. In this paper, we retrieve SID in the FS using the Chinese HaiYang1-D (HY-1D) satellite equipped with the Coastal Zone Imager (CZI). A multi-template matching technique is employed to calculate the cross-correlation, and subpixel estimation is used to locate displacement vectors from the cross-correlation matrix. The dataset covering March to May 2021 was divided into hourly and daily intervals for analysis, and validation was performed using Copernicus Marine Environment Monitoring Service (CMEMS) SAR-based product and International Arctic Buoy Programme (IABP) buoy. A comparison with the CMEMS SID product revealed a high correlation with the daily interval dataset; however, due to the spatial and temporal variability in the sea ice motion, differences are observed with the hourly interval dataset. Additionally, validation with the IABP buoys yielded a velocity bias of <span class="inline-formula">−0.005</span> m s<span class="inline-formula"><sup>−1</sup></span> and RMSE of 0.031 m s<span class="inline-formula"><sup>−1</sup></span> for the daily interval dataset, along with a flow direction bias of 0.002 rad and RMSE of 0.009 rad, respectively. For the hourly interval dataset, the velocity bias was negligible (0 m s<span class="inline-formula"><sup>−1</sup></span>), with a RMSE of 0.036 m s<span class="inline-formula"><sup>−1</sup></span>, while the flow direction bias was 0.003 rad, with a RMSE of 0.010 rad. In addition, during the validation with buoys, we found that the accuracy of retrieving the SID flow direction is distinctly interrelated with the sea ice displacement.</p>https://tc.copernicus.org/articles/18/1419/2024/tc-18-1419-2024.pdf |
spellingShingle | D. Lu D. Lu D. Lu J. Liu J. Liu L. Shi L. Shi T. Zeng T. Zeng B. Cheng S. Wu S. Wu M. Wang M. Wang M. Wang Retrieval of sea ice drift in the Fram Strait based on data from Chinese satellite HaiYang (HY-1D) The Cryosphere |
title | Retrieval of sea ice drift in the Fram Strait based on data from Chinese satellite HaiYang (HY-1D) |
title_full | Retrieval of sea ice drift in the Fram Strait based on data from Chinese satellite HaiYang (HY-1D) |
title_fullStr | Retrieval of sea ice drift in the Fram Strait based on data from Chinese satellite HaiYang (HY-1D) |
title_full_unstemmed | Retrieval of sea ice drift in the Fram Strait based on data from Chinese satellite HaiYang (HY-1D) |
title_short | Retrieval of sea ice drift in the Fram Strait based on data from Chinese satellite HaiYang (HY-1D) |
title_sort | retrieval of sea ice drift in the fram strait based on data from chinese satellite haiyang hy 1d |
url | https://tc.copernicus.org/articles/18/1419/2024/tc-18-1419-2024.pdf |
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