Retrieval of sea ice drift in the Fram Strait based on data from Chinese satellite HaiYang (HY-1D)

Dunwang Lu, Jianqiang Liu, Lijian Shi, Tao Zeng, Bin Cheng, Suhui Wu, Manman Wang
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Abstract

Abstract. 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 −0.005 m s−1 and RMSE of 0.031 m s−1 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−1), with a RMSE of 0.036 m s−1, 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.
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基于中国 "海洋 "号卫星(HY-1D)数据的弗拉姆海峡海冰漂移检索
摘要全球变暖导致北极海冰加速融化。弗拉姆海峡(FS)是北极海冰向北大西洋输出的重要通道。通过监测弗拉姆海峡的海冰漂移(SID),可以深入了解北极海冰如何应对气候变化。SID 已经从哨兵-1 合成孔径雷达 (SAR)、高级甚高分辨率辐射计 (AVHRR)、中分辨率成像分光仪 (MODIS) 和 EOS 高级微波扫描辐射计 (AMSR-E) 中获取,利用光学图像获取 SID 还需要进一步探索。本文利用中国海阳1-D(HY-1D)卫星搭载的海岸带成像仪(CZI)对FS中的SID进行了检索。采用多模板匹配技术计算交叉相关,并通过子像素估计从交叉相关矩阵中定位位移向量。将 2021 年 3 月至 5 月的数据集分为每小时和每天进行分析,并使用哥白尼海洋环境监测服务(CMEMS)基于合成孔径雷达的产品和国际北极浮标计划(IABP)浮标进行验证。与 CMEMS SID 产品的比较显示,日间隔数据集与 CMEMS SID 产品高度相关;但是,由于海冰运动的时空变化,小时间隔数据集与 CMEMS SID 产品存在差异。此外,通过 IABP 浮标的验证,日间隔数据集的速度偏差为 -0.005 m s-1,均方根误差为 0.031 m s-1,流向偏差为 0.002 rad,均方根误差为 0.009 rad。每小时间隔数据集的速度偏差可以忽略不计(0 m s-1),均方根误差为 0.036 m s-1,流向偏差为 0.003 rad,均方根误差为 0.010 rad。此外,在利用浮标进行验证时,我们发现 SID 流向的检索精度与海冰位移有明显的相互关系。
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