ICTS:30261

Video URL

Investigating large-scale atmospheric phenomena using nonlinear time series analysis and complex ne…

Investigating large-scale atmospheric phenomena using nonlinear time series analysis and complex networks

(2024). Investigating large-scale atmospheric phenomena using nonlinear time series analysis and complex networks. SciVideos. https://youtube.com/live/rVvCeexvqLw

Investigating large-scale atmospheric phenomena using nonlinear time series analysis and complex networks. SciVideos, Nov. 10, 2024, https://youtube.com/live/rVvCeexvqLw 

          @misc{ scivideos_ICTS:30261,
            doi = {},
            url = {https://youtube.com/live/rVvCeexvqLw},
            author = {},
            keywords = {},
            language = {en},
            title = {Investigating large-scale atmospheric phenomena using nonlinear time series analysis and complex networks},
            publisher = {},
            year = {2024},
            month = {nov},
            note = {ICTS:30261 see, \url{https://scivideos.org/icts-tifr/30261}}
          }
Cristina Masoller
Talk numberICTS:30261
Source RepositoryICTS-TIFR
Source EventClimate Dynamics and Networks
Collection

Abstract

Climate networks defined on a regular grid of geographic locations (nodes) covering the Earth's surface, built from the analysis of statistical interdependencies of climate time series, can provide useful information on large-scale patterns of climate variability. In this talk, I will discuss climate networks constructed from surface air temperature time series, using different methods such as Hilbert analysis, mutual information and Granger causality.