1Physics Research Laboratory, Hindu College, Moradabad, Uttar Pradesh, India, uttamrawat86@gmail.com
2Department of Physics, Hindu College, Moradabad, Uttar Pradesh, India
The climate parameters and their impacts on agriculture and environment both are very useful for scientists as well as entire society. The study and understanding of rainfall variability as the main climate parameter is very important for the existence and welfare of entire ecosystem. The wavelet transform is a suitable tool used to analyse non-stationary/transient data. We have taken Western Uttar Pradesh as our study area, which is a prosperous, fertile and densely populated region. The stationary wavelet transform provides better approximation results than discrete wavelet transform due to its redundant, linear and shift-invariant property. These properties make stationary wavelet transform useful algorithm for efficient analysis of signal processing applications. By stationary wavelet transform, decomposition Level 6, the data of rainfall variability during the period 01 January 1901 to 31 December 2019 (119 years) is extended up to 44 months. We have analysed the spectral behaviour of extended average monthly rainfall data by estimating different statistical parameters.
Average, Deviation, Extension, Kurtosis, Rainfall, Skewness, Wavelet
