E. A. Ezhova, A. V. Gavrikov, V. D. Sharmar, N. D. Tilinina, A. I. Suslov, V. S. Koshkina, M. A. Krinitskiy, V. S. Gladyshev, M. A. Borisov
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引用次数: 0
Abstract
The lack of automatic wave measurement equipment leads to a decrease in the number of observations. Which, in turn, leads to a decrease in the quality of numerical forecasting. This paper presents an algorithm for obtaining wind wave parameters (significant height, period and direction of the main wave system) using a marine radar. This approach has the potential to significantly expand the coverage and increase the number of observations. The methods utilized in this research involve spectral analysis of time series images of the sea surface. The field measurements of waves in the drift and on the move of the ship obtained during the AI57, AI58 and AI63 sea expeditions conducted between 2021 and 2022 aboard a research vessel AkademikIoffe. The accuracy of the algorithm is confirmed through validation against data acquired from wave buoys, altimetry satellites, and visual observations.
Abstract The lack of automatic wave measurement equipment leads to the decrease of the number of observations.这反过来又导致数值预报质量的下降。本文介绍了一种利用海洋雷达获取风浪参数（主波系统的显著高度、周期和方向）的算法。这种方法有可能大大扩大覆盖范围，增加观测次数。本研究采用的方法涉及海面时间序列图像的光谱分析。在 2021 年至 2022 年期间，Akademik Ioffe 号科考船进行了 AI57、AI58 和 AI63 海上考察，对漂流中的波浪和船只移动中的波浪进行了实地测量。通过对波浪浮标、测高卫星和目测数据的验证，确认了算法的准确性。
期刊介绍：
Oceanology, founded in 1961, is the leading journal in all areas of the marine sciences. It publishes original papers in all fields of theoretical and experimental research in physical, chemical, biological, geological, and technical oceanology. The journal also offers reviews and information about conferences, symposia, cruises, and other events of interest to the oceanographic community.
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