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Joint analysis of the wind and wave-field variability in the Indian Ocean area for 1998–2009

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Abstract

In this paper, a detailed statistical analysis of the wind and wave fields in the Indian Ocean (IO) for the period of 1998-2009 was performed based on using the wind fields taken from the site of the National Centers for Environmental Prediction and the National Oceanic and Atmospheric Administration (NCEP/NOAA) [1] and on the numerical wind-wave model WAM [2] modified with the source function proposed in [3]. The primary analysis of the fields includes mapping the wind and wave fields, as well as their energy fields, calculated with different scales of space-time averaging; the subsequent zoning of the IO area; and assessing the seasonal interannual variability of all the fields and their 12-years trends. Further analysis is carried out taking into account the zoning. This analysis includes a construction of the time series obtained with different scales of space-time averaging for all the fields, a spectral analysis of these series, finding and analyzing the spatial and temporal distribution of extrema of the wind and wave fields (accounting for the their sharing in the zones), and making histograms of the wind and wave fields and calculating their first four statistical moments (in the zones and in the ocean as a whole). The results allow us to evaluate a large set of statistical characteristics of the wind and wave fields in the IO area, scales of their variability, their long-term trends, and the features of distribution for these statistical characteristics in the ocean area as well.

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References

  1. ftp://polar.ncep.noaa.gov/pub/history/waves/

  2. The WAMDI Group, “The WAM-A Third Generation Ocean Wave Prediction Model,” J. Phys. Oceanogr. 18(12), 1775–1810 (1988).

    Article  Google Scholar 

  3. V. G. Polnikov, “Wind-Wave Model with an Optimized Source Function,” Izv., Atmos. Ocean. Phys. 41(5), 594–610 (2005).

    Google Scholar 

  4. V. G. Polnikov, V. Innocentini, “Comparative Study Performance of Wind Wave Model: WAVEWATCH-Modified by the New Source Function,” Eng. Appl. Comput. Fluid Mech. 2(4), 466–481 (2008).

    Google Scholar 

  5. V. G. Polnikov, F. A. Pogarskii, and S. A. Sannasiraj, “Statistical Features of the Wind over the Indian Ocean for the Period 1998–2008” (2011). http://arxiv.org/pdf/1109.5073

  6. S. K. Gulev, V. Grigorieva, “Last Century Changes in Ocean Wind Waves Height from Global Visual Wave Data,” Geophys. Res. Lett. 31, L24302 (2004). doi 10.1029/2004GL21040

    Article  Google Scholar 

  7. Handbook of the Register for Wind and Wave in the Bering and White Seas, Ed. by A. V. Lopatukhin, A. V. Bukhanovskii, and E. S. Chernyshova (The Russian Shipping Sea Register, St. Petersburg, 2010 [In Russian].

    Google Scholar 

  8. S. Caires and A. Sterl, “100-Year Return Value Estimates for Ocean Wind Speed and Significant Wave Height from the ERA-40 Data,” J. Climate 18(4), 1032–1048 (2005).

    Article  Google Scholar 

  9. E. Bauer, “Characteristic Frequency Distribution of Remotely Sensed in situ and Modeled Wind Speed,” Int. J. Climatol. 16, 1087–1102 (1996).

    Article  Google Scholar 

  10. A. H. Monahan, “The Probability Distribution of Sea Surface Wind Speeds. Part I: Theory and Sea Winds Observations,” J. Climate 19(2), 497–520 (2006).

    Article  Google Scholar 

  11. V. G. Polnikov, “The Role of Wind Waves in Dynamics of the Air-Sea Interface,” Izv., Atmos. Ocean. Phys. 45(3), 346–356 (2009).

    Article  Google Scholar 

  12. G. S. Golitsyn, “The Energy Cycle for Wind Waves on the Ocean Surface,” Izv., Atmos. Ocean. Phys. 46(1), 6–13 (2010).

    Article  Google Scholar 

  13. P. Kålberg, P. Berrisford, B. J. Hoskins, et al., ECMWF ERA-40 Atlas. ERA-40 Project Report Series, No. 19 (2005). http://www.ecmwf.int/publications/library/ecpublications/-pdf/era/era40/ERA40-PRS19-rev.pdf

  14. S. M. Key and S. L. Marple, “Spectrum Analysis-A Modern Perspective,” Proc. IEEE 69(11), 1380–1419 (1981).

    Article  Google Scholar 

  15. A. S. Monin and A. M. Yaglom, Statistical Hydromechanics, Vol. 2 (Nauka, Moscow, 1967) [In Russian].

    Google Scholar 

  16. V. G. Polnikov, “An Extended Verification Technique for Solving Problems of Numerical Modeling of Wind Waves,” Izv., Atmos. Ocean. Phys. 46(4), 511–523 (2010).

    Article  Google Scholar 

  17. V. G. Polnikov, F. A. Pogarskii, and S. A. Sannasiraj, “Modeling and Analysis of the Wind-Waves Field Variability in the Indian Ocean during 1998–2009 Years” (2011). http://arxiv.org/pdf/1109.6542

  18. I. N. Davidan, L. I. Lopatukhin, and V. A. Rozhkov, Wind Waves as the Probabilistic Hydrodynamic Process (Leningrad, Gidrometeoizdat, 1978) [In Russian].

    Google Scholar 

  19. I. R. Young, S. Zieger, and A. V. Babanin, “Global Trends in Wind Speed and Wave Height,” Science 332, 451–455 (2011).

    Article  Google Scholar 

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Correspondence to V. Polnikov.

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Original Russian Text © F. Pogarskii, V. Polnikov, S.A. Sannasiraj, 2012, published in Izvestiya AN. Fizika Atmosfery i Okeana, 2012, Vol. 48, No. 6, pp. 714–732.

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Pogarskii, F., Polnikov, V. & Sannasiraj, S.A. Joint analysis of the wind and wave-field variability in the Indian Ocean area for 1998–2009. Izv. Atmos. Ocean. Phys. 48, 639–656 (2012). https://doi.org/10.1134/S0001433812060114

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  • DOI: https://doi.org/10.1134/S0001433812060114

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