Signatures of a Universal Spectrum for Nonlinear Variability in Daily Columnar Total Ozone Content

A.M.Selvam; M.Radhamani

doi:10.1007/BF02658153

Impact Factor: 5.8

Volume 11 Issue 3

Jul. 1994

Article Contents

Article > ADVANCES IN ATMOSPHERIC SCIENCES > 1994 > 11(3): 335-342

Signatures of a Universal Spectrum for Nonlinear Variability in Daily Columnar Total Ozone Content

1.
Indian Institute of Tropical Meteorology, Pune 411008, India,Indian Institute of Tropical Meteorology, Pune 411008, India

doi: 10.1007/BF02658153

Abstract
References
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Abstract:
Continuous periodogram analyses of sets of 50 to 364 daily mean atmospheric columnar total ozone content at 19 globally representative stations indicate that the power spectra follow the universal inverse power law form of the statistical normal distribution. The results are consistent with prediction of a cell dynamical system model for atmos-pheric flows extending up to the stratosphere and above. The unique quantification for nonlinear variability of daily atmospheric total ozone implies predictability of the total pattern of fluctuations.
- Ozone,
- Columnar total ozone
References

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Manuscript History

Manuscript received: 10 July 1994

Manuscript revised: 10 July 1994

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Signatures of a Universal Spectrum for Nonlinear Variability in Daily Columnar Total Ozone Content

1. Indian Institute of Tropical Meteorology, Pune 411008, India,Indian Institute of Tropical Meteorology, Pune 411008, India

Manuscript received: 1994-07-10
Manuscript revised: 1994-07-10

Abstract: Continuous periodogram analyses of sets of 50 to 364 daily mean atmospheric columnar total ozone content at 19 globally representative stations indicate that the power spectra follow the universal inverse power law form of the statistical normal distribution. The results are consistent with prediction of a cell dynamical system model for atmos-pheric flows extending up to the stratosphere and above. The unique quantification for nonlinear variability of daily atmospheric total ozone implies predictability of the total pattern of fluctuations.

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