Complexity and periodicity of daily mean temperature and dew-point across India

Journal of earth system science

Mofazzal Hossain Khondekar^2¹  Rajdeep Ray^1²  Anup Kumar Bhattacharjee^4³  Koushik Ghosh^3⁴ 

[1] Department of Applied Electronics and Instrumentation Engineering, Dr. B C Roy Engineering College, Durgapur 713 206, India.^2;Department of Electronics and Communication Engineering, Dr. B C Roy Engineering College, Durgapur 713 206, India.^1;Department of Electronics and Communication Engineering, National Institute of Technology, Durgapur 713 209, India.^4;Department of Mathematics, University Institute of Technology, University of Burdwan, Burdwan 713 104, India.^3

关键词: Indian climate;    recurrence plot;    Hilbert–Huang transform;    empirical mode decomposition;   

DOI  :  

学科分类：天文学(综合)

来源: Indian Academy of Sciences

【 摘 要 】

The complexity of temperature and dew-point fluctuations across India are being investigated and analyzed with the help of recurrence plots (RP) and recurrence quantification analysis (RQA). The results firmly state that both data sets is non-linear, non-stationary and deterministic. Hilbert–Huang transform and an efficient peak detection algorithm (integral method) have been used to detect the underlying periodicity (above 95% CL) within these two signals. The nature of the complexity and the derived periods of these two weather variables show that there are significant impact of the local geographical topology and global atmospheric fluctuations on the overall pattern and fluctuation of the temperature and dew-point profile across India.

【 授权许可】

CC BY