한국환경과학회지 (Journal of Environmental Science International)

  • 제8권6호
  • /
  • Pages.661-667
  • /
  • 1999
  • /
  • 1225-4517(pISSN)
  • /
  • 2287-3503(eISSN)
한국환경과학회 (The Korean Environmental Sciences Society)
권호 표지

해륙풍관측 data의 차원추정 값에 대한 수치적 검증

A Numerical Certification to Estimated Dimensions of the Observed Land-Sea Breeze Data

  • Lee Hwa-Woon (Dept. of Atmospheric Sciences, College of Nature Science, Pusan National University) ;
  • Kim Yoo-Keun (Dept. of Atmospheric Sciences, College of Nature Science, Pusan National University) ;
  • Lee Young-Gon (Dept. of Atmospheric Sciences, College of Nature Science, Pusan National University)
  • 발행 : 1999.12.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Estimating dimensions of attractors are the most basic tools to analyze properties of chaotical dynamic systems. In this paper, we estimate correlation dimensions of meteorological variables, such as wind speed (v) and temperature (T) observed in Kimhae International Airport when the land-sea breeze circulation is appeared and find low non-integer values that reflect the deterministic chaos characterizing the dynamics. We compare the results with the correlation dimensions of 2-dimensional model that is calculated by finite element method. Though the correlation dimensions of the calculated wind speed ( v) are less than those of the observed wind speed ( v), we can suggest that the land-sea breeze circulation has not a unique mechanism. The land-sea breeze phenomenon is a complicated dynamics, which is constructed with various scale motions of atmosphere. In further research, we hope to find more accurate dynamics of land-sea breeze through wide observations and using of more sophisticated prediction models.

키워드

참고문헌

  1. Phys. Lett. v.97A no.6 Generalized dimensions of strange attractors Grassberger, P.
  2. Physica v.16D Determining Lyapunov exponents from a time series Wolf, A.;J.B. Swift;H.L. Swinney;J.A. Vastano
  3. Phys. Rev. v.A no.34 Spurious dimension from correlation algorithms applied to limited time-series data Theiler, J.
  4. Physica v.7D The dimension of chaotic attractors Farmer, J.D.;E. Ott;J.A. Yorke
  5. Phys. Rev. A. v.45 no.14 Dimension of Strange Attractors Russell, D.A.;J.D., Hanson;E. Ott
  6. Nonlinear dynamics and chaos Strogatz, S.H.
  7. Coping with chaos Ott, E.;T. Sauer;J.A. Yorke
  8. Phys. Rev. Lett. v.45 no.9 Geometry from a time series Packard, N.H.;J.P., Crutchfield;J.D. Framer;R.S. Shaw
  9. Phys. Rev. A. v.33 Independent coordinates for strange attractors from mutual information Fraser, A.M.;H.L. Swinney
  10. Phys. Rev. Lett. v.50 no.5 Characterization of Strange Attractors Grassberger, P.;I. Procaccia
  11. Physica v.9D Measuring The Strangeness of Strange Attractors Grassberger, P.;I. Procaccia
  12. Practical Numerical Algorithms for Chaotic System Parker, T.S.;L.O. Chua
  13. J. Atmos. Sci. v.43 no.5 Estimating the Dimensions of Weather and Climate Attractors Fraedrich, K.
  14. Finite Element Techniques for Fluid Flow Connor, J.;C. Brebbia
  15. The Finite Element Method in Engineering Science Zienkiewicz, O.