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Parameterization of surface wind-driven currents in the Black Sea using drifters, wind, and altimetry data

机译：使用漂流器，风和测高仪数据对黑海中地表风驱动流进行参数化

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摘要

The original method is presented for parameterization of surface wind-driven currents in the Black Sea using drifters, altimetry, and wind data. Buoys velocities for the cases with small time variability of the altimetry-derived geostrophic currents were parameterized as a function of the amplitude coefficient b and rotation angle a between wind and residual current direction at drifter drogue depth aEuro parts per thousand 15 m. The results show that the variability of a and b for different cases is very high: angle a changes from 10 to 90A degrees to the right, amplitude coefficient b varies from 0.01 to 0.03. At the same time, it is shown that amplitude coefficient b and rotation angle a on 15 m depth are not independent parameters and there is a robust dependence between them. Using quasi-Ekman theory and the revealed dependence, we can determine parameterization for wind-driven currents exactly on the surface. As a result, we found that wind-driven currents at z = 0 m are directed on b (0) = 13A degrees to the right of wind direction with amplitudes equal to k = 2.8 % of wind velocity. It is important that these parameters did not depend on Ekman layer depth and can be used under different ocean conditions. This parameterization is used to compute the total surface currents and determine the trajectories of oil slick propagation observed on satellite images. Comparison shows that the presented method can be successfully used to predict floating objects trajectories basing on the satellite data.
机译：提出了使用漂流器，测高仪和风数据对黑海中地表风驱动电流进行参数化的原始方法。浮标速度是由高度计衍生的地转流随时间变化的情况而定的，它是在漂移锥深度aEuro千分之15 m处，振幅系数b和风向与剩余电流方向之间的旋转角a的函数。结果表明，在不同情况下，a和b的变异性非常高：角度a向右从10到90A度变化，幅度系数b从0.01到0.03变化。同时表明，振幅系数b和15 m深度上的旋转角度a不是独立的参数，并且它们之间具有很强的依赖性。使用准埃克曼理论和揭示的相关性，我们可以确定表面上正好是风驱动电流的参数化。结果，我们发现，z = 0 m处的风力驱动电流指向风向右b（0）= 13A度，幅度等于k =风速的2.8％。重要的是，这些参数不取决于埃克曼层的深度，并且可以在不同的海洋条件下使用。该参数化用于计算总表面电流，并确定在卫星图像上观察到的浮油传播的轨迹。比较表明，所提出的方法可以成功地用于基于卫星数据的漂浮物轨迹预测。

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