DocumentCode
3327334
Title
Nonlinear Analysis of Daily Temperature Data
Author
Das, Pritha
Author_Institution
Dept of Math., BES Univ., Howrah, India
fYear
2009
fDate
6-7 June 2009
Firstpage
273
Lastpage
277
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Future Computer and Communication, 2009. FCC '09. International Conference on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3676-7
Type
conf
DOI
10.1109/FCC.2009.79
Filename
5235651
Link To Document