Filtering Drifter Trajectories Sampled at Submesoscale Resolution
Filtering Drifter Trajectories Sampled at Submesoscale Resolution
复制标题
过滤以亚尺度分辨率采样的漂移轨迹
DOI：
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发表时间：
2015
影响因子：
4.1
通讯作者：
E. Coelho
中科院分区：
文献类型：
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作者：
M. Yaremchuk;E. Coelho
本文提出了一种消除漂移轨迹中定位误差的变分方法。该技术是基于PES和漂移加速度的统计独立性的假设。该方法提供了对加速度概率密度函数的真实近似，同时将滤波轨迹和观测轨迹之间的差保持在定位噪声的误差范围内。该方法在2012年墨西哥湾北部大拉格朗日部署(GREAD)试验期间获得的实际数据的应用中展示了该方法的性能。
In this paper, a variational method for removing positioning errors (PEs) from drifter trajectories is proposed. The technique is based on the assumption of statistical independence of the PEs and drifter accelerations. The method provides a realistic approximation to the probability density function of the accelerations while keeping the difference between the filtered and observed trajectories within the error bars of the positioning noise. Performance of the method is demonstrated in application to real data acquired during the Grand Lagrangian Deployment (GLAD) experiment in the Northern Gulf of Mexico in 2012.
使用漂流浮标对数值漂流者轨迹进行拉格朗日验证：在 Agulhas 系统中的应用
影响因子：
3.2
作者：
Van Sebille;P. J. van Leeuwen;A. Biastoch;C. N. Barron;W. P. M. de Ruijter
通讯作者：
W. P. M. de Ruijter