Hans Volland (1995) showed that atmospheric tides are generated mainly thermally by the regular solar heat and have period and A. Wagner (1931) revealed yearly oscillation of temperature in the middle Europe. As a analysis tool for periodicity, Mohit et. al. (2013) suggested the weather temperature computation method with DFT (Discrete Fourier Transform) tool and represented a good agreement for daily temperature in forecast.
In this study, it is carried out for temperature correction on mountain area using FFT (Fast Fourier transform), known as one of spectral analysis method. First, it is investigated for the periodic characteristics of temperature over 3 years and estimated for Power Spectrum Density (PSD) to obtain main components in common for observation. In the same way, it is analyzed for mountain forecast. Finally, on the result of periodic characteristics, the effect of periodic correction for the mountain forecast with observation is evaluated
Key words: Mountain forecast, Spectral Analysis, FFT (Fast Fourier transform), Temperature correction