WAVELET PREVIEW FOR NON-LINEAR DYNAMICS OF SOLAR FACULAE

Time-frequency decomposition is the most important factor of the wavelet technique in solar phenomena. Wavelet analysis is a universal mathematical technique that works with non stationary time series data to detect changes and note significant periods. This paper aims to describe the wavelet transform application in determining the variability of solar faculae area. Monthly data of solar faculae area was taken from Kislovodsk Mountain Astronomical Station of the Pulkovo observatory, of the period from 1990 to 2007. A wavelet technique was applied on solar faculae area monthly time series so as to completely illustrate the discrete time-frequency variability of solar faculae area. The global wavelet scale estimates the main frequency constituents and irregularity in solar faculae in the data. The outcomes highlight that the particular patterns can be used to depict the region of maximum concentration. The wavelet power spectrum indicates 12 months yearly oscillation, expresses 2 to 8 years range of strong spectrum control. This investigates time-average of power over time peak of the integration to unveil annual powerful pulses. The aim of this study is to gain insight into solar faculae area variability pattern of the study area, determine the power concentration of the time series and study the frequency components in the time series using the global wavelet spectrum .Moreover the study of solar faculae area dynamics indicated by solar faculae particular role of area concentration patterns has the aim to evaluate the inter-annual irregularity