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Wavelet analysis on transient behaviour of tidal amplitude fluctuations observed by meteor radar in the lower thermosphere above Bulgaria

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TLDR
In this paper, a bispectral analysis applied to the hourly data set of neutral wind measured by meteor radar in the MLT region above Bulgaria was demonstrated that nonlinear processes are frequently and regularly acting in the mesopause region.
Abstract
. On the basis of bispectral analysis applied to the hourly data set of neutral wind measured by meteor radar in the MLT region above Bulgaria it was demonstrated that nonlinear processes are frequently and regularly acting in the mesopause region. They contribute significantly to the short-term tidal variability and are apparently responsible for the observed complicated behavior of the tidal characteristics. A Morlet wavelet transform is proposed as a technique for studying nonstationary signals. By simulated data it was revealed that the Morlet wavelet transform is especially convenient for analyzing signals with: (1) a wide range of dominant frequencies which are localized in different time intervals; (2) amplitude and frequency modulated spectral components, and (3) singular, wave-like events, observed in the neutral wind of the MLT region and connected mainly with large-scale disturbances propagated from below. By applying a Morlet wavelet transform to the hourly values of the amplitudes of diurnal and semidiurnal tides the basic oscillations with periods of planetary waves (1.5-20 days), as well as their development in time, are obtained. A cross-wavelet analysis is used to clarify the relation between the tidal and mean neutral wind variability. The results of bispectral analysis indicate which planetary waves participated in the nonlinear coupling with the atmospheric tides, while the results of cross-wavelet analysis outline their time intervals if these interactions are local. Key words: Meteorology and atmospheric dynamics (middle atmosphere dynamics; waves and tides) - Radio science (nonlinear phenomena)

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Variability in the maximum height of the ionospheric F2-layer over Millstone Hill (September 1998–March 2000); influence from below and above

TL;DR: In this paper, the authors investigate the variability in the maximum height of the ionospheric F2-layer, hmF2, with periods of planetary waves (2-30 days), and make an attempt to determine their origin.
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A study of tidal and planetary wave periodicities present in midlatitude sporadic E layers

TL;DR: In this paper, a methodology is employed to investigate the tidal and planetary wave periodicities imprinted onto sporadic E critical frequencies foEs, and it is shown that besides the dominant and known 24-hour and 12-hour tidal periodicities, there is often a weaker terdiurnal (8-hour) oscillation present as well.
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MF radar observations of seasonal variability of semidiurnal motions in the mesosphere at high northern and southern latitudes

TL;DR: In this article, the authors investigated the seasonal dependence of the semidiurnal tide (SDT) through comparative analysis of horizontal winds measured at Poker Flat (65°N, 147°W), Andenes (69°N and 16°E), Davis (68°S, 78°E) and Rothera (68−S, 69°W).
References
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Journal ArticleDOI

A Practical Guide to Wavelet Analysis.

TL;DR: In this article, a step-by-step guide to wavelet analysis is given, with examples taken from time series of the El Nino-Southern Oscillation (ENSO).
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The wavelet transform, time-frequency localization and signal analysis

TL;DR: Two different procedures for effecting a frequency analysis of a time-dependent signal locally in time are studied and the notion of time-frequency localization is made precise, within this framework, by two localization theorems.

Theory of communication

Dennis Gabor
Journal ArticleDOI

Wavelet Transforms and their Applications to Turbulence

TL;DR: Wavelet transforms are recent mathematical techniques, based on group theory and square integrable representations, which allows one to unfold a signal, or a field, into both space and scale, and possibly directions.
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Bispectrum estimation: A digital signal processing framework

TL;DR: In this article, the authors place bispectrum estimation in a digital signal processing framework in order to aid engineers in grasping the utility of the available bispectral estimation techniques, and discuss application problems that can directly benefit from the use of the Bispectrum, and to motivate research in this area.
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