Wind waves in the coastal zone of the southern crimea: Assessment of simulation quality based on in situ measurements

Шокуров, М. В.; Дулов, В. А.; Skiba, Ekaterina; Smolov, V. E.

doi:10.1134/s0001437016020181

Cited by 7 publications

(3 citation statements)

References 11 publications

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“…Additionally, in the other side of the platform the sea surface elevation was also measured at a 10 Hz by six restive strings arranged in a centered pentagon of radius 25 cm recorded sea surface elevations with an accuracy of 2 mm providing the data for frequency-directional spectrum estimations in the rage of 0.1-1 Hz. A more detailed description of the platform instrumentation is given by 25 . The wind speed and direction, air temperature, humidity, pressure and water temperature are measured at the center of the platform, 23 m above the sea level by a "Davis Vantage Pro 2" meteorological station.…”

Section: -D Reconstruction and Wave Field Estimationmentioning

confidence: 99%

A data set of sea surface stereo images to resolve space-time wave fields

et al. 2020

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Stereo imaging of the sea surface elevation provides unique field data to investigate the geometry and dynamics of oceanic waves. Typically, this technique allows retrieving the 4-D ocean topography (3-D space + time) at high frequency (up to 15–20 Hz) over a sea surface region of area ~104 m2. Stereo data fill the existing wide gap between sea surface elevation time-measurements, like the local observation provided by wave-buoys, and large-scale ocean observations by satellites. The analysis of stereo images provides a direct measurement of the wavefield without the need of any linear-wave theory assumption, so it is particularly interesting to investigate the nonlinearities of the surface, wave-current interaction, rogue waves, wave breaking, air-sea interaction, and potentially other processes not explored yet. In this context, this open dataset aims to provide, for the first time, valuable stereo measurements collected in different seas and wave conditions to invite the ocean-wave scientific community to continue exploring these data and to contribute to a better understanding of the nature of the sea surface dynamics.

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Section: -D Reconstruction and Wave Field Estimationmentioning

confidence: 99%

A data set of sea surface stereo images to resolve space-time wave fields

et al. 2020

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“…It is located near the village of Katsiveli, about 500 m from the coast, where the sea depth is about 30 m (in yellow circle in Figure 2). The platform has usually been used for wave studies [21,[30][31][32][33][34] and sea truth measurements [15,16,19,20] Surface waves were measured using an array of six string wave recorders located at the corners and the center of a regular pentagon with a circumcircle radius of 0.25 m. For a detailed description of the wave measuring system, see [30,35]. Sea surface elevations were recorded at a frequency of 10 Hz.…”

Section: Datamentioning

confidence: 99%

Validation of the Satellite Method for Measuring Spectra of Spatially Inhomogeneous Sea Waves

Бондур

Дулов

Козуб

et al. 2022

JMSE

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A method for retrieving 2D spatial spectra of sea wave elevations and slopes from high resolution (about 1 m) satellite imagery has been developed that also allows for assessing sea wave angular distributions. A validation of the suggested method was carried out based on the results from a comprehensive experiment that included both satellite imaging of the Black Sea water area and sea truth under controlled conditions. The retrieval of spatial wave spectra from fragments of a satellite image and comparison with the results of measuring the frequency spectra from sea truth data obtained using an array of string wave recorders were carried out. Wave spectra from remote and in situ data are consistent in the frequency range of 0.2–1.1 Hz, corresponding to wavelengths from 1.3 to 39 m.

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“…Specialists of Marine Hydrophysical Institute of RAS developed and patented the string wave gauge recorder construction ****** [4]. Its advantages are high measurement accuracy, noise immunity and increased stable operation resource.…”

Section: Introductionmentioning

confidence: 99%

Application of the Arduino Platform for Recording Wind Waves

Smolov¹,

Rozvadovskiy²

2020

PhO

Self Cite

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Purpose. The paper describes development of a device (placed on the Arduino platform) for recording wind waves. It is intended for the wave gauge of Marine Hydrophysical Institute, RAS, which is installed and applied at the oceanographic platform in Katsiveli. The device is designed to record and store the wave gauge data in an off-line mode. At that, it is protected from power surges and environmental effects (dust, moisture, temperature drops). Methods and Results. Two versions of the Arduino-placed recording device are represented: for the single- and six-string wave gauges. Their hardware and software are described; block diagram of the applied software algorithms and electrical connection schemes are given. Particular attention is paid to stable functioning of the devices, namely continuity of the data reading, recording and storing, as well as synchronization of the obtained measurement results with the time of record. The example of the sea level elevations recorded in course of a year is cited. Conclusions. Development, construction and testing of the Arduino-placed device for recording wind waves are described in the paper. Since 2015, the off-line operation of the device has shown high efficiency, reliability and stability; at that, the risks of losing the measurement results are minimal.

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Wind waves in the coastal zone of the southern crimea: Assessment of simulation quality based on in situ measurements

Cited by 7 publications

References 11 publications

A data set of sea surface stereo images to resolve space-time wave fields

A data set of sea surface stereo images to resolve space-time wave fields

Validation of the Satellite Method for Measuring Spectra of Spatially Inhomogeneous Sea Waves

Application of the Arduino Platform for Recording Wind Waves

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