Wavelet Analysis of Transient Behavior of Gravity wave observed by MST Radar

碩士 === 國立中央大學 === 太空科學研究所 === 82 === Gravity Wave plays important role in atmospheric dynami- cs, momentume and energetics. Wind fluctuations observed by MST radar technique often show complicated temporal behavior . Waves with different p...

Full description

Bibliographic Details
Main Authors: Kang Ying Chen, 陳崗熒
Other Authors: Liu Chao Han
Format: Others
Language:zh-TW
Published: 1994
Online Access:http://ndltd.ncl.edu.tw/handle/61812428736711215950
Description
Summary:碩士 === 國立中央大學 === 太空科學研究所 === 82 === Gravity Wave plays important role in atmospheric dynami- cs, momentume and energetics. Wind fluctuations observed by MST radar technique often show complicated temporal behavior . Waves with different periods may occur at different times. Conventional FFT analysis is a standard method that provides the spectrum information of waves. But FT will not allow us to follow the temporal evolution of the wave spectrum and even thought STFT (short time Fourier Transform) windowing the data provides some help in locating time of the even,the time evolution of wave spectrum can not be descibed satisfa- ctorily. In this thesis, we introduc the multi-scale, multi- resolution Wavelet Transform (WT) method to analyze MST radar velocity data that contains apparent wave-like struct- ure. Temporal behavior of wave spectra will be clearly shown in time-frequency plane to help us understand how the wave spectrum changes. We will discuss the behavior of " Wavelet Instantaneous Spectrum " (WIS) in each range gate and study the propagation of Gravity Waves in vertical direction by the analysis of Wavelet phases . The results obtained by the WT technique will be compared with the previous studies carried out by traditional methods:such as FFT, running mean filtering, cross-correlation method ,etc.. Possible interpr- etations in terms of nonlinear wave-wave interaction or wave-mean flow interaction will be proposed. Finally, we expand the idea of " multi-resolution " to establish the Wavelet analysis model for Chung-Li radar DBS observation mode.