An improved algorithm for phase-resolved sea surface reconstruction from X-band marine radar images

Zinchenko, Victoria; Vasilyev, Leonid; Halstensen, Svein Olav; Liu, Yuming

doi:10.1007/s40722-021-00189-9

Cited by 10 publications

(2 citation statements)

References 19 publications

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“…Deterministic wave forecasting has numerous uses, ranging from the control of wave energy converters to improve power capture [19,12], to ship motion forecasting for maritime operations [2,17]. Wave prediction theories, such as that presented in this manuscript, are only one part of this story: ocean waves must first be properly measured, and considerable work is being undertaken on X-band marine radar [37,23]. Measurement errors and sources of noise must be dealt with efficiently, as discussed recently by Desmars et al [6], for example by continuous data assimilation and ensemble Kalman filtering [33].…”

Section: Discussionmentioning

confidence: 99%

Spatial deterministic wave forecasting for nonlinear sea-states

Galvagno,

Eeltink,

Stuhlmeier

2021

Preprint

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We derive a simple algebraic form of the nonlinear wavenumber correction of surface gravity waves in deep water, based on temporal measurements of the water surface and the spatial Zakharov equation. This allows us to formulate an improvement over linear deterministic wave forecasting with no additional computational cost. Our new formulation is used to forecast both synthetically generated as well as experimentally measured seas, and shows marked improvements over the linear theory.

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Section: Discussionmentioning

confidence: 99%

Spatial deterministic wave forecasting for nonlinear sea-states

Galvagno,

Eeltink,

Stuhlmeier

2021

Preprint

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“…이를 보완하기 위해 독도에서 수행된 연구는 상위 버전의 SW-002를 사용했 으며 대체된 새로운 필터를 이용하여 약 2년간의 MWR 자 료를 재분석하였다 (Jun et al, 2020). 반면, 본 연구에서 활용 하는 RangeFinder는 주로 선박에 설치하여 얻은 실시간 해수 면 자료의 정확도나 항해의 안정성을 높이기 위한 데이터 분석 및 검보정을 위한 국외 연구에 사용되었다 (Gangeskar, 2014;Zinchenko et al, 2021) 지로 분류가 가능하다(Fig. 3).…”

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Algorithm Development for Quality Control of RangeFinder Wave Time Series Data at Ocean Research Station

Hwang¹,

Do²,

Jeong³

et al. 2022

J Coast Disaster Prev

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Ocean Research Station is a comprehensive ocean research infrastructure built to collect and provide real-time data with state-of-the-art observation systems. This station operates various research facilities, and the data is actively used for research in each field. In particular, since wave data is produced through the remote-sensing observation method, they are valuable as observation data. Unlike the direct observation method, they can stably collect data and store long-term observation data on severe weather. However, there is a limitation that outlier may occur due to the process of measuring and collecting data or the effects of temporary environmental changes. This study improves the remote wave data quality of MIROS RangeFinder installed at the Socheongcho Ocean Research Station using an algorithm and confirms the reliability by comparing it with the wave buoy observation data operated by the Korea Meteorological Administration. The algorithm used is a Spike removal median filter, which is applied after adjusting the conditions and variables according to the characteristics of the Socheongcho wave data. Also, we developed a new filter using a variable threshold to increase the outlier detection rate. As a result, the final algorithm shows a high outlier detection rate, but some outliers are still not removed, so improvements are required to enhance the algorithm’s performance. In addition, continuous research on the remote-sensing wave observation method is required to compensate for the limitation that the accuracy is slightly lower than that of the direct observation method.

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Profilometry: a non-intrusive active stereo-vision technique for wave-profile measurements in large hydrodynamic laboratories

Savio,

Ahani,

Greco

et al. 2024

Exp Fluids

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Profilometry is proposed as a novel non-intrusive image-based technique to capture the profile of the air–water interface as a dense point cloud. It can be classified as an active stereo-vision method applied to the study of gravity-driven water waves and specifically developed to be used in large hydrodynamic laboratories. As an active vision technique, it relies on the use of light sources, and as a stereo technique, it requires one or more high-speed camera pairs for imaging the same scene synchronously. To enhance the visibility of the laser lights on the wave profile, the water surface is sprayed with water droplets. Profilometry, compared to standard wave probes, can be considered as an alternative source of information that can augment spatial resolution to the identification of the air–water interface to capture nonlinear wave-evolution mechanisms and violent wave–body interactions. Its feasibility and accuracy are examined preliminarily in a small-scale flume and then in a large-scale towing tank using long-crested wave scenarios, including regular, irregular, and focused gravity-driven waves, without the presence of a structure. The values of the wave steepness examined were various and included also quite steep cases with nearly vertical wave fronts. Role played by parameters of the technique, as well as of its setup in capturing the wave features are also analysed, with the aim to provide a useful guidance for other researchers that intent to use and develop further this approach.

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An improved algorithm for phase-resolved sea surface reconstruction from X-band marine radar images

Cited by 10 publications

References 19 publications

Spatial deterministic wave forecasting for nonlinear sea-states

Spatial deterministic wave forecasting for nonlinear sea-states

Algorithm Development for Quality Control of RangeFinder Wave Time Series Data at Ocean Research Station

Profilometry: a non-intrusive active stereo-vision technique for wave-profile measurements in large hydrodynamic laboratories

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