Title :
Nonlinear Analysis of Daily Temperature Data
Author_Institution :
Dept of Math., BES Univ., Howrah, India
Abstract :
In this work, we analyze average daily air temperature records for 12 years for some cities. For each city, daily recodes are deeply influenced by the seasonal fluctuation. We attempted to remove this seasonality by subtracting a properly adjusted sine function. Nonlinear analysis of data will be attempted to find fractal and/or chaotic nature of daily average temperature of original data as well as the data after removal of seasonality and compare the results. Evidence of chaos is found through calculation of Lyapunov exponent.
Keywords :
Lyapunov methods; atmospheric techniques; data analysis; geophysics computing; temperature; Lyapunov exponent; chaos evidence; daily temperature data; data nonlinear analysis; seasonal fluctuation; Chaos; Chaotic communication; Cities and towns; Data analysis; Fluctuations; Fractals; Meteorology; Nonlinear equations; Physics; Temperature sensors;
Conference_Titel :
Future Computer and Communication, 2009. FCC '09. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3676-7
DOI :
10.1109/FCC.2009.79
