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Analysis of surface current properties in the Gulf of Finland using data from surface drifters

机译:芬兰海湾的表面电流特性使用表面漂移数据分析

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The accurate prediction of currents in the ocean surface layer is of importance for many applications, such as environmental monitoring, offshore commercial operations, and safety of shipping. Numerical models can be used to obtain such predictions, but in most sea areas the availability of current observations remains scarce. We report results of field experiments involving passive surface drifters in the Gulf of Finland, with the purpose to characterize the mesoscale and sub-mesoscale flow dynamics and spreading rate. A total of 51 deployments of surface drifters were made in 2011 and 2013, with duration of drift lasting from 1 to 35 days. The individual tracks produced a velocity distribution with a mean value close to 0.1 m/s, with close resemblance to the Rayleigh distribution. A Lagrangian integral time scale was calculated based on the autocorrelation of the drifter velocity, using three different methods of calculation and splitting the drifter into segments of different duration. The persistency of motion was 7–12 hours on average, with individual trajectories showing persistent motion up to over 20 hours. When inertial oscillations were filtered out from the drifter positions, the average persistency increased to 14–20 hours. Analysis was also made for the relative dispersion of drifter clusters. At small separation scales the speed of drifter separation appears to follow the Richardson's Law, where the relative diffusivity increases as the separation distance to the 1/3 power. However, a transition takes place with separation distances close to 5 km, after which the relative diffusivity decreases with increasing separation distance. These results point to the complexity of the underlying surface current fields, and indicate what scales must be resolved in numerical models in order to obtain reliable predictions for surface currents in the Gulf of Finland.
机译:对于许多应用,例如环境监测,海上商业运营和运输安全性,准确地预测海洋表面层中的电流是重要的。数值模型可用于获得此类预测,但在大多数海域中,当前观察的可用性仍然稀缺。我们报告涉及芬兰湾的被动表面漂移器的现场实验结果,目的是表征中尺度和子间尺度流动动态和扩散速率。 2011年和2013年共制备51个表面漂移器部署,持续时间为1至35天。各个轨道产生速度分布,平均值接近0.1米/秒,与瑞利分布密切相似。利用三种不同的计算方法基于漂移速度的自相关,并将漂移分成不同持续时间的段的截移,基于漂移速度的自相关的拉格朗日积分时间尺度。运动的持久性平均为7-12小时,个别轨迹显示出持续的运动,高达20小时。当从漂移位置过滤出惯性振荡时,平均持续性增加到14-20小时。还针对漂移簇的相对分散来进行分析。在小分离尺度,漂移分离的速度似乎遵循Richardson的定律,其中相对扩散率随着与1/3功率的分离距离而增加。然而,接近5km的分离距离发生过渡,之后相对扩散率随着分离距离的增加而降低。这些结果指出了底层表面电流场的复杂性,并指出了在数值模型中必须解决的尺度,以获得芬兰海湾的表面电流的可靠预测。

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