Self-organized criticality, causality and correlation of probability of recurrence between daily mean temperature and dew point across India

Ray, Rajdeep; Majumder, Payel; Khondekar, Mofazzal H.; Ghosh, Koushik; Bhattacharjee, Anup Kumar

doi:10.1109/icrcicn.2017.8234488

Cited by 1 publication

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“…The temperature and the dew-point time series (NOAA 2014) of seven weather stations distributed across India are analyzed here in the context of its non-linear, non-stationary and complex behaviour (Marwan and Kurths 2004). In this framework recurrence plot (Eckmann et al 1987) and recurrence quantification analysis (RQA) (Marwan et al 2007) methodologies have been implemented to study the stationarity/non -stationarity, nature of cyclicity, determinism/ stochastism, stability, chaosity, complexity and regularity of the temperature and dew-point of India (Ray et al 2017).…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2019

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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.

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Section: Introductionmentioning

confidence: 99%