搜索与救援环境数据评价2

H. Roarty, A. Allen, S. Glenn, J. Kohut, L. Nazzaro, E. Fredj
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引用次数: 3

摘要

2016年5月10日至7月12日,中大西洋观测系统(MARACOOS)对其高频雷达网络进行了验证实验。实验的目的是评估其两种表面电流产品,测试质量控制软件和算法,并评估新的双基地数据流。这项实验是与美国海岸警卫队搜救办公室和环境咨询公司RPS合作进行的。海岸警卫队提供了9艘漂流船,部署在雷达网络的覆盖范围内。其中6架部署在玛莎葡萄园岛以南,3架部署在新泽西州附近,主要用于验证13mhz网络。漂移器的位置数据被用来估算地表漂移速度。这些速度估计与雷达的径向速度测量值进行了比较。漂浮物在48小时内的实际路径与利用雷达电流和其他表面电流估计产生的虚拟路径进行了比较。计算了几种不同表面电流产物的拉格朗日技能分数。事实证明,MARACOOS的区域表面流产物在预测漂移者路径方面是最好的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Environmental Data for Search and Rescue II
The Mid Atlantic Ocean Observing System (MARACOOS) conducted a validation experiment of its High Frequency radar network from May 10 to July 12, 2016. The goal of the experiment was to evaluate its two surface current products, test quality control software and algorithms and evaluate new bistatic data streams. The experiment was conducted in collaboration with the United States Coast Guard Office of Search and Rescue and RPS an environmental consulting company. The Coast Guard provided 9 drifters that were deployed in the coverage area of the radar network. Six were deployed south of Martha's Vineyard and 3 were deployed off New Jersey, which focused on the validation of the 13 MHz network. The position data from the drifters was used to generate surface drift velocity estimates. These velocity estimates were compared against the radial velocity measurements of the radars. The actual path of the drifters over 48 hours was compared against virtual paths generated using the radar currents and other surface current estimates. The Lagrangian skill score was computed for several different surface current products. The regional surface current product from MARACOOS proved to be the best at predicting the path of the drifters.
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