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Numerical reconstruction of trajectory of small-size surface drifter in the Mediterranean sea

机译：地中海小型水面漂浮物轨迹的数值重建

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In this study, we addressed the effects of wind-induced drift on Lagrangian trajectories of surface sea objects using high-resolution ocean forecast and atmospheric data. Application of stochastic Leeway model for prediction of trajectories drift was considered for the numerical reconstruction of the Elba accident that occurred during the period 21.06.2009-22.06.2009: a person on an inflatable raft was lost in the vicinity of the Elba Island coast; from the initial position, the person on a raft drifted southwards in the open sea and later he was found on a partially deflated raft during rescue operation. For geophysical forcing, we used high-resolution currents from the Mediterranean Forecasting System and atmospheric wind from the European Centre for Medium-Range Weather Forecasts. To investigate the effect of wind on trajectory behavior, numerical simulations were performed using different categories of drifter-like particles similar to a person on an inflatable raft. An algorithm of spatial clustering was used to differentiate the most probable search areas with a high density of particles. Our results showed that the simulation scenarios using particles with characteristics of draft-limited sea drifters provided better prediction of an observed trajectory in terms of the probability density of particles.
机译：在这项研究中，我们使用高分辨率海洋预报和大气数据处理了风漂对海表物体拉格朗日轨迹的影响。在2009年6月21日至22.06.2009期间发生的厄尔巴岛事故的数值重建中，考虑了使用随机Leeway模型预测轨迹漂移的方法：在厄尔巴岛沿岸附近有一个充气筏上的人丧生。从最初的位置开始，木筏上的人在公海中向南漂流，后来在救援行动中被发现在部分缩的木筏上。对于地球物理强迫，我们使用了来自地中海预报系统的高分辨率海流和来自欧洲中距离天气预报中心的大气风。为了研究风对轨迹行为的影响，使用了类似于充气筏上的人的不同类别的流浪状颗粒进行了数值模拟。使用空间聚类算法来区分具有高粒子密度的最可能搜索区域。我们的结果表明，使用具有吃水有限的海上漂流特征的粒子进行的模拟方案可以根据粒子的概率密度更好地预测观察到的轨迹。

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