Evaluation of Environmental Data for Search and Rescue II

被引:0
|
作者
Roarty, Hugh [1 ]
Allen, Arthur [2 ]
Glenn, Scott [1 ]
Kohut, Josh [1 ]
Nazzaro, Laura [1 ]
Fredj, Erick [3 ]
机构
[1] Rutgers State Univ, Ctr Ocean Observing Leadership, New Brunswick, NJ 08901 USA
[2] US Coast Guard, Off Search & Rescue, New London, CT 06320 USA
[3] Jerusalem Coll Technol, Dept Comp Sci, Jerusalem, Israel
来源
2018 OCEANS - MTS/IEEE KOBE TECHNO-OCEANS (OTO) | 2018年
关键词
remote sensing; radar; MARACOOS; geoscience; oceans; currents;
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
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.
引用
收藏
页数:3
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