I have a daily scale data of 65 years. I don't know what is the periodicity of the data. I found the autocorrelation to find the period but I am quite confused with it especially in case of the rainfall data. Can someone suggest me some literature/methods/tutorials where periodicity has been detected and is removed from daily scale data (I mean data observed at the very closed interval and are not differing much in terms of magnitude)?
You can use continuous wavelet transform (e.g. Morlet wavelet) to obtain seasonality of your data.
Bring the data to "Frequency domain" from "Time domain", you can see daily and yearly patterns easily and remove them either manually or with some filters. You may use FFT (Fast Fourier Transform) it is embedded in Matlab and USGS has Python and Fortran codes for that. Really no need to fancier transformation such as Wavelet. It is a very simple problem of signal processing and can be handled by FFT.
Dear Mohd Imran Khan ,
There is a an tool which should be added to excel called XLSTAT. This software provided different methods. If you need it please send me your email. I can share it with you
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