Multiscale event synchronization measure for unraveling climate process: A wavelet-based approach
Abstract
he temporal dynamics of natural processes (climatic/hydrological) are spread across different time scales and, as such, the study of these processes only at a given scale would not reveal all the underlying governing processes spanning over different scales. As needs be, it is vital to investigate such processes at various time-scales. Wavelets have been used extensively to comprehend the multiscale process and have been appeared to be exceptionally reliable and useful in understanding dynamics of the process across various time scales as these evolve in time. Recently, event synchronization has picked up an interest in capturing the nonlinear interactions between different climatic signals based on synchronization and time delays of events (characterized as local maxima) in the timeseries. At present, the event synchronization analyses the relationship at a single scale. However, visualization of the time evolution of delay and synchronization at multiscale would be of great interest to comprehend the dynamics of the signal. In this paper, a wavelet based multi-scale event synchronization (MSES) methodology has been proposed and tested. The main advantage of this method is that it provide a quantitative measure of process across different scales. The applicability of the proposed method has explored using various case studies -both real as well as synthetic. The study also shows that proposed methodology works well also for model evaluation. Keywords: multiscale event synchronization, Complex network, discrete wavelet transformation, climatic system
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2016
- Bibcode:
- 2016AGUFMNG23A1827A
- Keywords:
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- 4490 Turbulence;
- NONLINEAR GEOPHYSICS