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| Titel |
Statistical analysis of wave parameters in the north coast of the Persian Gulf |
| VerfasserIn |
A. Parvaresh, S. Hassanzadeh, M. H. Bordbar |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
0992-7689
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| Digitales Dokument |
URL |
| Erschienen |
In: Annales Geophysicae ; 23, no. 6 ; Nr. 23, no. 6 (2005-09-15), S.2031-2038 |
| Datensatznummer |
250015286
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| Publikation (Nr.) |
 copernicus.org/angeo-23-2031-2005.pdf |
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| Zusammenfassung |
| In this study we have analysed wind and wave time series data resulting from
hourly measurements on the sea surface in Bushehr, the northern part of
the Persian Gulf, from 15 July to 4 August 2000. Wind speed
(U10) ranged from 0.34 to 10.38 m/s as alternating sea and land
breezes. The lowest wind speed occurs at about midnight and the highest at around
noon. The calculated autocorrelation of wind speed data shows that when the
sea-land breeze is strong, the land-sea breeze is weak and vice versa. The
significant wave height (Hs) varies between 0.10 to 1.02 m. The data of the
present study reflects mostly the local waves or the sea waves. The
calculated correlation between wind and wave parameters is rather weak, due
to the continuous change in the wind direction. Wave height distribution follows
the well-known Rayleigh distribution law. The cross correlation analyses
between U10 and Hs reveal a time lag of 4h. Finally, we have shown
that the time series of U10, Hs, and wave period are stationary. We
have modeled these parameters by an auto regressive moving average (ARMA) and
auto regressive integrated moving average (ARIMA) models.
Keywords. Oceanography: physical (Air-sea interactions;
Surface waves and tides; Upper ocean processes) |
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