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Wavelet & Correlation Analysis of Weather Data

Author : Rashmi Bhardwaj

Pages : 178-183
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This paper deals with the wavelet and correlation analysis of meteorological parameters for various meteorological stations of India. Discrete wavelet using Daubechies wavelet at level 5 (Db5) and Continuous wavelet using Mexican Hat wavelet of meteorological parameters have been discussed. Discrete wavelet decomposition of each parameter presented in seven parts namely s, a5, d1, d2, d3, d4 and d5. The first part “s” represents the signal or raw data and the second part “a5” corresponds to the amplitude of the signal. The next five parts d1, d2, d3, d4 and d5 represent details of the signal or raw data at five different levels. 1-D continuous wavelet decomposition of each parameter has four parts; first part on top represents the analyzed signal or raw data, second part contains the scalogram value. The third part shows the daily variation of coefficients. The fourth part depicts the local maximums of related parameters. It has been observed that maximum and minimum temperature have positive correlation for all the years and at all stations except for Shimla. All stations for all years have negative correlation between rainfall and maximum temperature; rainfall and minimum temperature.


Keywords: Wavelets, Correlation, meteorology, temperature, rainfall


Article published in International Journal of Current  Engineering  and Technology, Vol.2,No.1 (March- 2012)




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