Journal Press India^®

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The understanding of the percentage departure in rainfall from average with respect to time is very important for agriculture, environment and economy of any region. The rainfall variability on basis of its average monthly record during the period from Jan. 2013 to Dec. 2017 (05 years) in Moradabad, Uttar Pradesh, India, is discussed. Approximations are low frequency and details are high frequency content of the signal and hence play important role in signal or data analysis. Approximations provide information about the trend of signal. The trend is its slowest part of the signal and represents the behavior of signal corresponding to greatest scale value. A peak in the details shows rapid change or fluctuation in the quantity of rainfall in that time period. Skewness is a measure of symmetry and more precisely, the lack of symmetry while Kurtosis is a measure of whether the data are peakedness or flatness relative to a normal distribution. There is slight significant decreasing trend for long term northeast monsoon rainfall over Moradabad region.

Keywords

Rainfall; Variability; Wavelet; Approximation; Detail, etc.

1. V Kumar. Rainfall characteristics of Shimla district (HP), Journal of Indian Water Resources Society, 23(1), 2003, 1-10.


2. SR Asati. Analysis of rainfall data for drought investigation at Brahmapuri (MS), International Journal of Life science, Biotechnology and Pharma Research, 1, 2012, 81-86.


3. JP Antoine. Wavelet analysis: A new tool in Physics, Wavelets in Physics, Van Der Berg, JC, ed., 2004, 9-21.


4. SG Mallat. A wavelet tour of Signal Processing, Academic Press, New York, 1998.


5. A Kumar, S Kumar, JK Pathak. Spectral analysis of river Ramganga hydraulics using discrete wavelet transform, International Conference of Advance Research and Innovation, 2015, 370-373.


6. A Kumar. Wavelet analysis of air pollution due to ground level nitrogen dioxide, Asian Journal of Science and Technology, 8(8), 2017, 5218-5222.


7. A Kumar, UK Rawat, P Singh. Spectral analysis of ground level nitrogen dioxide and sulphur dioxide, Progress in Nonlinear Dynamics and Chaos, 6(1), 2018, 11-17.


8. A Grinsted, JC Moore, S Jevrejeva. Application of the cross wavelet transform and wavelet coherence to geophysical time series, Nonlinear Progress in Geophysics, 11, 2004, 561-566.


9. M Rockinger, E Jondeau. Entropy densities with an application to autoregressive conditional skewness and kurtosis, Journal of Econometrics, 106(1), 2002, 119-142.