ESTIMATION OF THE WIND-DRIVEN WAVE SPECTRUM USING A HIGH SPATIAL RESOLUTION COHERENT RADAR
Аннотация и ключевые слова
Аннотация (русский):
The paper deals with experimental determination of the wind-driven wave spectrum by using the remote method of high-resolution coherent radar sensing of the water surface. The method is applied to the conditions of the fetch-limited wind wave growth, which is typical for enclosed waters and the sea nearshore, where the dominant wavelength is of the order of ten meters. The experiments were performed using a coherent X-band panoramic digital radar operating with the horizontal polarization for transmission and reception. The paper considers an algorithm used to form velocity images of the water surface from the data of coherent radar sensing on the basis of the phase angle difference method. The paper shows the possibility to recover wind wave spectra from the data on the Doppler shift of microwave radio waves. A theoretical justification and an experimental verification of the method are provided. Appearance of the third harmonic of the wind waves recovered from the radar sensing data of the spatio-temporal spectra of Doppler velocities is demonstrated for the first time. The functions that relate to the wave elevation spectra and the Doppler velocity spectra are determined. It is shown that the linear free-surface wave approximation is valid for the reconstruction of wave spectra. The temporal and spatial omnidirectional wave spectra obtained in the experiment are described well by the power model functions using the exponent factor of −4" role="presentation">-4

Ключевые слова:
Coherent radar, Doppler velocity, wind wave spectra
Текст
Текст произведения (PDF): Читать Скачать
Список литературы

1. Bass, F. G., I. M. Fuks (1972), Waves Scattering by Statistically Rough Surface, Nauka, Moscow (in Russian)

2. Battjes, J. A., T. J. Zitman, L. Y. Holthuijsen (1987), A reanalysis of the spectra observed in JONSWAP, J. Phys. Oceanogr., 17, p. 1288, https://doi.org/10.1175/1520-0485(1987)017<1288:AROTSO>2.0.CO;2

3. Carrasco, R., J. Horstmann, J. Seemann (2017), Significant wave height measured by coherent X-band radar, IEEE Transactions on Geoscience and Remote Sensing, 55, no. 9, p. 5355-5265, https://doi.org/10.1109/TGRS.2017.2706067

4. Dankert, H., J. Horstmann, W. Rosenthal (2005), Wind- and wave-field measurements using marine X-band radar-image sequences, IEEE Journal of oceanic engineering, 30, no. 3, p. 534-542, https://doi.org/10.1109/JOE.2005.857524

5. Ermakov, S. A., I. A. Kapustin, I. A. Sergievskaya, O. V. Shomina, V. N. Kudryavtsev, B. Chapron, Y. Y. Yurovskiy (2014), On the Doppler Frequency Shifts of Radar Signals Backscattered from the Sea Surface, Radiophysics and Quantum Electronics, 57, no. 4, p. 239-250, https://doi.org/10.1007/s11141-014-9507-8

6. Hwang, P. A., M. A. Sletten, J. V. Toporkov (2010), A note on Doppler processing of coherent radar backscatter from the water surface: With application to ocean surface wave measurements, J. Geophys. Res., 115, p. C03026, https://doi.org/10.1029/2009JC005870

7. Ivonin, D. V., V. A. Telegin, V. V. Bakhanov, A. V. Ermoshkin, A. I. Azarov (2011), Monitoring system of surface currents on the base of low-cost X-band radar. First application on the Black Sea, Russ. J. Earth. Sci., 13, p. ES2003, https://doi.org/10.2205/2011ES000507

8. Lyzenga, D., O. Nwogu, D. Trizna, K. Hathaway (2010), Ocean wave field measurements using X-band Doppler radars at low grazing angles, 2010 IEEE International Geoscience and Remote Sensing Symposium, IEEE, Honolulu, HI, USA, https://doi.org/10.1109/IGARSS.2010.5650065

9. Nekrasov, A. V., E. N. Pelinovskiy (eds.) (1992), Laboratory Manual in Ocean Dynamics, Gidrometeoizdat, Sankt-Petersburg (in Russian)

10. Nwogu, O. G., D. R. Lyzenga (2010), Surface-Wavefield Estimation From Coherent Marine Radars, IEEE Geoscience and Remote Sensing Letters, 7, no. 4, p. 631-635, https://doi.org/10.1109/LGRS.2010.2043712

11. Plant, W. J., G. Farquharson (2012), Origins of features in wave number-frequency spectra of space-time images of the ocean, J. Geophys. Res., 117, p. C06015, https://doi.org/10.1029/2012JC007986

12. Pereslegin, S. V., Yu. P. Sinitsyn (2011), Interference synthetic-aperture radars for routine monitoring of ocean phenomena, Radiophysics and Quantum Electronics, 54, no. 6, p. 376-389, https://doi.org/10.1007/s11141-011-9298-0

13. Rosenberg, A. D., I. E. Ostrovskiy, V. I. Zel'dis, I. A. Leiykin, V. G. Ruskevich (1973), Determination of the energy-carrying part of the sea wave spectrum by the phase characteristics of the radio signal scattered by the sea), Izv. AN SSSR, FAO, 9, no. 12, p. 1323-1326 (in Russian)

14. Slunyaev, A. V., A. V. Sergeeva (2012), Numerical Simulations and Analysis of Spatio-Temporal Fields of Rogue Waves, Fundamentsl and Applied Hydrophysics, 5, no. 1, p. 24-36

15. Toporkov, J. V., M. A. Sletten (2017), Numerical simulations of range-resolved radar backscatter from evolving sea surface with floating targets, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), IEEE, Fort Worth, TX, USA, https://doi.org/10.1109/IGARSS.2017.8127254

16. Trizna, D. B. (2011), Coherent Marine Radar Measurements of Ocean Surface Currents and Directional Spectra, OCEANS 2011 IEEE - Spain, IEEE, Santander, Spain, https://doi.org/10.1109/Oceans-Spain.2011.6003441

17. Young, I. R., W. Rosenthal, F. Ziemer (1985), A Three-Dimensional Analysis of Marine Radar Images for the Determination of Ocean Wave Directionality and Surface Currents, J. Geophys. Res., 90, no. C1, p. 1049-1059, https://doi.org/10.1029/JC090iC01p01049

Войти или Создать
* Забыли пароль?