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A method of high resolution periodic signal reconstruction has been developed and implemented into software algorithms. This method, that utilizes a narrow band-pass filter, permits the detection of tidal waves in the atmosphere. Our paper describes and reviews the strength of this method, commonly referred to as the KZFT algorithm. The focus of this paper is given to the recovery of tides in the atmosphere as well as to a discussion of specifics of the reconstruction of these waves. We conclude with several examples regarding the impact of the tidal wave to other atmospheric variables, including wind speed and cloud cover, but details are left for further investigation.
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Tom
Strony
356--373
Opis fizyczny
Bibliogr. 20 poz.
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autor
autor
- 1University at Albany, Department of Epidemiology and Biostatistics, Albany, NY, USA, izurbenko@uamail.albany.edu
Bibliografia
- Chapman, S. (1935), The lunar tide in the earth’s atmosphere, Proc. Roy. Soc. Lond. A, 151, 872, 105-117.
- Chapman, S., and R.S. Lindzen (1970), Atmospheric Tides, Gordon and Breach, New York.
- Kim, K.O., H.S Lee, T. Yamashita, and B.H. Choi (2008), Wave and storm surge simulations for Hurricane Katrina using coupled process based models, KSCE J. Civ. Eng. 12, 1, 1-8,
- Madden, R.A., and P.R. Julian (1971), Detection of a 40-50 day oscillation in the zonal wind in the tropical Pacific, J. Atmos. Sci. 28, 702-708,
- Madden, R.A., and P.R. Julian (1994), Observations of the 40-50 day tropical oscillation – a review, Monthly Weath. Rev. 22, 814-837,
- Morel, B., H. Bencherif, P. Keckhut, S. Baldy, and A. Hauchecorne (2002), Evidence of tidal perturbations in the middle atmosphere over Southern Tropics as deduced from LIDAR data analyses, J. Atmos. Sol.-Terr. Phys. 64, b1979-1988,
- Neagu, R., and I. Zurbenko (2002), Tracking and separating non-stationary multicomponent chirp signal, J. Frankl. Inst. 339, 449-520,
- Oberheide, J., Q. Wu, D.A. Ortland, T.L. Kilen, M.E. Hagan, R.G. Roble, R.J. Niciejewski, and W.R. Skinner (2005), Non-migrating diurnal tides as measured by the TIMED Doppler interferometer: Preliminary results, Adv. Space Res. 35, 1911-1917,
- Potrzeba, A.L., I.G. Zurbenko (2008), Algorithm of periodic signal reconstruction with applications to tidal waves in atmosphere. In: JSM Proceedings, Poster topic engineering and physical sciences, chemometrics, American Statistical Association, Alexandria, VA.
- Rao, S.T., I.G. Zurbenko, R. Neagu, P.S. Porter, J.Y. Ku, and R.F. Henry (1997), Space and time scales in ambient ozone data, Bull. Am. Meteor. Soc. 78, 10, 2153-2166,
- Siebert, M. (1961), Atmospheric tides, In: H.E. Landsberg and J. van Mieghem (eds.), Advances in Geophysics 7, Academic Press, New York, 105-187.
- Tsakiri, K.G. and I.G. Zurbenko (2008), Destructive effect of the noise in principal component analysis with applications to ozone pollutions. In: JSM Proceedings, Statistical Computing Section, American Statistical Association, Alexandria, VA.
- Vial, F., and J.M. Forbes (1994), Monthly simulations of the lunar semi-diurnal tide,J. Atmos. Terr. Phys. 56, 1591-1607,
- Wang, Z. and P.J. Vickery (2005), The integration of a hurricane wind hazard model with deep-water and near-shore wave models. In: OCEANS: Proceedings of MTS/IEEE 1, 337-344.
- Yang, W., and I.G. Zurbenko (2007), KZFT: Kolmogorov–Zurbenko Fourier Transform and Applications, R package Version 0.17.
- Yang W., and I.G. Zurbenko (2008), A semi-adaptive smoothing algorithm in bispectrum estimation, IEEE Trans. Signal Process. 56, 11, 5369-6375,
- Yang, W., and I.G. Zurbenko (2010a), Nonstationarity, Wiley Interdiscipl. Reviews: Computational Statistics (to appear in 2010).
- Yang, W., and I.G. Zurbenko (2010b), Kolmogorov-Zurbenko filters, Wiley Interdiscipl. Reviews: Computational Statistics (to appear in 2010).
- Zurbenko, I.G. (1986), The Spectral Analysis of Time Series, North-Holland Amsterdam.
- Zurbenko, I.G., and P.S. Porter (1998), Construction of high-resolution wavelets, Signal Process. 65, 2, 315-327,
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Bibliografia
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bwmeta1.element.baztech-article-BSL7-0037-0017