Extract seasonality patterns from climate data with Fast Fourier Transform (FFT)

Meteorology students hardly experience smooth and expeditious data analysis. When it comes to results, they oftentimes plunge to nebulous insights and vague conclusions. Despite how clearly the method used, meteorology students shouldn’t take the idea of being creative in handling the data for granted. The quality of results totally depends on how creative they scramble the data and extract its insights. Hence the better result quality comes the more beneficial explanation. For the practical instance, when harnessing…