Card image

International Journal of Earth, Energy and Environmental Sciences

ISSN: 2517-942X

Total 1 content found

Top Journal

International Journal of Architectural, Civil and Construction Sciences International Journal of Biological, Life and Agricultural Sciences International Journal of Chemical, Materials and Biomolecular Sciences International Journal of Business, Human and Social Sciences International Journal of Earth, Energy and Environmental Sciences International Journal of Electrical, Electronic and Communication Sciences International Journal of Engineering, Mathematical and Physical Sciences International Journal of Medical, Medicine and Health Sciences International Journal of Mechanical, Industrial and Aerospace Sciences International Journal of Information, Control and Computer Sciences

SUGGEST A JOURNAL

Join Scholarly today, and help us improve Open Access Journal database.

+ Sign Up

Analysis of Temperature Change under Global Warming Impact using Empirical Mode Decomposition

Year: 2007 Volume: 1 Issue: 7 69 - 77 Pages

Abstract: The empirical mode decomposition (EMD) represents any time series into a finite set of basis functions. The bases are termed as intrinsic mode functions (IMFs) which are mutually orthogonal containing minimum amount of cross-information. The EMD successively extracts the IMFs with the highest local frequencies in a recursive way, which yields effectively a set low-pass filters based entirely on the properties exhibited by the data. In this paper, EMD is applied to explore the properties of the multi-year air temperature and to observe its effects on climate change under global warming. This method decomposes the original time-series into intrinsic time scale. It is capable of analyzing nonlinear, non-stationary climatic time series that cause problems to many linear statistical methods and their users. The analysis results show that the mode of EMD presents seasonal variability. The most of the IMFs have normal distribution and the energy density distribution of the IMFs satisfies Chi-square distribution. The IMFs are more effective in isolating physical processes of various time-scales and also statistically significant. The analysis results also show that the EMD method provides a good job to find many characteristics on inter annual climate. The results suggest that climate fluctuations of every single element such as temperature are the results of variations in the global atmospheric circulation.