Fluctuation analysis of sea surface model
https://doi.org/10.34680/2076-8052.2023.1(130).129-145
Abstract
The effectiveness of remote marine monitoring systems including remote bathymetric measurements essential for the sea navigation, risk assessment and forecasting of anomalous phenomena requires the development of adequate sea surface models. In this article we propose a novel approach to the sea surface measurements for different sea depth, as well as wind speed and direction. We have performed computer simulations of sea wave dynamics for seven directional wave spectra and JONSWAP energy spectrum. Two-dimensional sea wave spectra have been estimated. In addition, we analyzed the range and the directional fluctuation functions of the respective models using detrended fluctuation analysis. Our results indicate that the range fluctuation functions exhibit two asymptotic regimes separated by a characteristic crossover point that is explicitly determined by the sea depth and the wind speed, respectively. Based on the results of the analysis, an original approach to the remote measurement of sea depth both in the presence and in the absence of autonomous wind speed measurements in suggested.
About the Authors
V. N. MikhailovRussian Federation
Mikhailov V. N.,
Saint-Petersburg.
N. S. Pyko
Russian Federation
Pyko N. S.,
Saint-Petersburg.
M. I. Bogachev
Russian Federation
Bogachev M. I.,
Saint-Petersburg.
V. M. Kutuzov
Russian Federation
Kutuzov V. M.,
Saint-Petersburg.
References
1. Pierson W. J., Moskowitz L. A proposed spectral form for fully developed wind seas-based on the similarity theory of S. A. Kitaigorodskii // Journal of geophysical research. 1964. 69(24). 5181-5190. DOI: 10.1029/JZ069I024P05181
2. Hasselmann K., Barnett T., Bouws E., Carlson H., Cartwright D. E., Enke K., Ewing J. A., Gienapp H., Hasselmann D. E., Kruseman P., Meerburg A., Muller P., Olbers D. J., Richter K., Sell W., Walden H. Measurements of wind-wave growth and swell decay during he Joint North Sea Wave Project (JONSWAP). Hamburg: Deutsches Hydrographisches institute. 1973. 95 р. URL: https://pure.mpg.de/rest/items/item_3262854_4/component/file_3282032/content
3. Rodrıguez O. C., Silva A. J., Gomes J. P., Jesus S. M. Modeling arrival scattering due to surface roughness // Proceedings of the 10th European Conference on Underwater Acoustics. ECUA 2010. Istanbul. Turkey. July 5-9, 2010. Istanbul. 2010. 1-8.
4. Abuzyarov Z. K. Morskoye volneniye i yego prognozirovaniye [Sea waves and its forecasting]. Leningrad, Gidrometeoizdat Publ., 1981. 166 p.
5. Mitsuyasu H., Uji T. A comparison of observed and calculated directional wave spectra in the east China sea // Journal of the Oceanographical Society of Japan. 1989. 45. 338-349.
6. Chase J., L. Cote J., Marks W., E. Mehr, W. J. Pierson (Jr.), Claude Roénne F., Stephen-son G., Vetier R. C., Walden R. G. The directional spectrum of a wind generated sea as determined from data obtained by the stereo wave observation project (SWOP). New York: New York University, College of Engineering. Research Division. Dept. of Meteorology and Oceanography and Engineering STatistics Group, 1957. 267 p.
7. Kantelhardt J. W., Zschiegner S. A., Koscielny-Bunde E., Havlin S., Bunde A., Stanley H. T. Multifractal detrended fluctuation analysis of nonstationary time series // Physica. Physica A-statistical Mechanics and Its Applications. 2002. 316. 87-114.
Review
For citations:
Mikhailov V.N., Pyko N.S., Bogachev M.I., Kutuzov V.M. Fluctuation analysis of sea surface model. Title in english. 2023;(1(130)):129-145. (In Russ.) https://doi.org/10.34680/2076-8052.2023.1(130).129-145