Reconstructing ocean surface current vector field from SAR doppler shift measurements

IF 11.4 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Shengren Fan , Vladimir Kudryavtsev , Yury Yurovsky , Biao Zhang
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引用次数: 0

Abstract

The Doppler shift observed by single-beam synthetic aperture radar (SAR) has been widely used to retrieve the radial velocity of ocean surface currents. However, operational marine forecasting centers require full surface current vector fields for data assimilation and forecast validation. To address this need, we propose a method to reconstruct the two-dimensional surface current vector from SAR Doppler shift measurements, under the assumption that ocean mesoscale currents are quasi-geostrophic. In this approach, the known range-directed current velocity derived from SAR Doppler shift measurements is used to estimate the azimuthal component based on the geostrophic approximation. The feasibility of the proposed method is preliminarily assessed by comparing the reconstructed surface current fields with global ocean analysis and forecast products from the Copernicus Marine Environment Monitoring Service (CMEMS). The results show a bias of 0.01 m/s and a root mean square error (RMSE) of 0.1 m/s. Additionally, surface current fields in the Gulf Stream and Agulhas Current regions are reconstructed using Sentinel-1A SAR Doppler shift observations and validated against collocated drifting buoy measurements, yielding a bias of 0.05 m/s and a RMSE of 0.19 m/s. These findings suggest that the potential of the proposed method for accurately reconstructing surface current fields from SAR Doppler measurements.
利用SAR多普勒频移测量数据重建海洋表面流矢量场
单波束合成孔径雷达(SAR)观测到的多普勒频移已被广泛用于海面洋流径向速度的反演。然而,业务海洋预报中心需要完整的表面流矢量场进行数据同化和预报验证。为了满足这一需求,我们提出了一种基于SAR多普勒频移测量数据重建二维表面流矢量的方法,该方法假设海洋中尺度流是准地转的。在这种方法中,利用SAR多普勒频移测量得到的已知距离方向电流速度来估计基于地转近似的方位分量。通过与哥白尼海洋环境监测服务(CMEMS)全球海洋分析预报结果的对比,初步评价了该方法的可行性。结果表明,偏差为0.01 m/s,均方根误差(RMSE)为0.1 m/s。此外,利用Sentinel-1A SAR多普勒频移观测数据重建了墨西哥湾流和阿古拉斯流区域的表面流场,并与同步漂移浮标测量结果进行了验证,偏差为0.05 m/s, RMSE为0.19 m/s。这些发现表明,所提出的方法具有从SAR多普勒测量准确重建表面流场的潜力。
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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