Retrieval of sea ice drift in the Fram Strait based on data from Chinese satellite HaiYang (HY1-D)

Melting of sea ice in the Arctic ocean 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 FS provides insights into how Arctic sea ice responds to the climate change...

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Bibliographic Details
Main Authors: Lu, Dunwang, Liu, Jianqiang, Shi, Lijian, Zeng, Tao, Cheng, Bin, Wu, Suhui, Wang, Manman
Format: Text
Language:English
Published: 2023
Subjects:
Arctic
Arctic Ocean
Climate change
Fram Strait
Global warming
North Atlantic
Sea ice
Online Access:https://doi.org/10.5194/egusphere-2023-1927
https://egusphere.copernicus.org/preprints/2023/egusphere-2023-1927/
Description
Summary:Melting of sea ice in the Arctic ocean 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 FS provides insights into how Arctic sea ice responds to the climate change. The SID has been retrieving from Sentinel-1 SAR, AVHRR, MODIS and AMSR-E, and using optical data to retrieve SID still needs further exploration. In this paper, we retrieve SID in the FS using China's HaiYang1-D (HY1-D) satellite equipped with the Coastal Zone Imager (CZI). Multi-template matching technique is employed to calculate cross-correlation, and subpixel estimation is used to locate displacement vectors from the cross-correlation matrix. The dataset covering March to May 2021 is divided into hourly and daily intervals for analysis, and validation is performed using Copernicus Marine Environment Monitoring Service (CMEMS) SAR-based product and IABP buoy measurements. Comparison with CMEMS SID product reveals a high correlation at the daily level; however, due to spatial and temporal variability in sea ice motion, differences are observed at an hourly resolution. Additionally, validation against IABP buoy data shows a velocity bias of 0.004 m/s and RMSE of 0.027 m/s at the day-level, along with a flow direction bias of 0.057 rad and RMSE of 0.313 rad respectively; while at the hour-level, velocity bias is negligible (0 m/s), with an RMSE value of 0.022 m/s; similarly for flow direction bias which remains negligible. During the validation against buoys, we find that the accuracy of retrieving the SID flow direction is highly interrelated with the sea ice displacement.

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