Using Wavelet Transform to Identify Atmospheric Temperature Ramp-Like Structure

Journal of Atmospheric and Environmental Optics ›› 2010, Vol. 5 ›› Issue (1): 14-18.

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Using Wavelet Transform to Identify Atmospheric Temperature Ramp-Like Structure

WU Xiao-qing1, NIE Qun1,2

（1 Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China;
2 Graduate School of Chinese Academy of Sciences, Beijing 100039, China)

Received:2009-04-17 Revised:2009-07-30 Online:2010-01-28 Published:2010-01-26

Abstract

Abstract:

Simulating fractional Brownian motion signal is added to the ideal temperature ramp structure. Using the conditional sample technique, and Donoho and Johnostone threshold method, the ramp signal is successfully identified and separated. This method is applied to the actual atmospheric temperature data. The analysis shows that there are the temperature ramp structure in actual atmosphere，and the period is about 30 seconds. Under different stability condition, the form of ramp structure may be different. And the wavelet transform can identify the temperature ramp structure efficiently.

Key words: atmospheric turbulence ramp structure, fractional Brownian motion, continuous wavelet transform, identification

CLC Number:

P404
P413

WU Xiao-Qing, Nie-Qun. Using Wavelet Transform to Identify Atmospheric Temperature Ramp-Like Structure[J]. Journal of Atmospheric and Environmental Optics, 2010, 5(1): 14-18.

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Using Wavelet Transform to Identify Atmospheric Temperature Ramp-Like Structure

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