Using the fast fourier transform technique for climate time series decomposition

Abstract EN

A twenty years investigation of the evolution of regional climate is performed by applying fast Fourier transform signal decomposition technique to the discrete meteorological data.

The technique was applied to the pressure, temperature, humidity, wind direction, and solar irradiance signals, acquired by meteorological station located in Inshas location, Egypt (30.289 N, 31.291 E.) The low-frequency components of each signal show slight changes in its respective signal.

Even with these slight changes in the local temperature, humidity, and pressure, a major change in wind direction is recorded.

These findings could alter the performance of any proposed wind power stations.

The results showed that the climate became warmer about 1.2 C than it was twenty years ago.

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