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Related Experiment Videos

Inferring directed climatic interactions with renormalized partial directed coherence and directed partial

Giulio Tirabassi1, Linda Sommerlade2, Cristina Masoller1

  • 1Universitat Politècnica de Catalunya, Departament de Fisica, Colom 11, 08222 Terrassa, Barcelona, Spain.

Chaos (Woodbury, N.Y.)
|April 3, 2017
PubMed
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This study applies Granger causality methods, including renormalized partial directed coherence and directed partial correlation, to climate time series. The methods successfully elucidated El Niño-Southern Oscillation-Monsoon interactions and showed potential for South Atlantic Convergence Zone air-sea interactions.

Area of Science:

  • Climate Science
  • Network Analysis
  • Time Series Analysis

Background:

  • Understanding complex system interactions is crucial for network phenomena.
  • Granger causality is a key concept for inferring directed relationships.
  • Renormalized partial directed coherence (frequency-domain) and directed partial correlation (time-domain) are established methods for causality inference.

Purpose of the Study:

  • To introduce and apply frequency-domain and time-domain Granger causality methods to climatological time series.
  • To investigate El Niño-Southern Oscillation-Monsoon interactions.
  • To explore air-sea interactions within the South Atlantic Convergence Zone (SACZ).

Main Methods:

  • Application of renormalized partial directed coherence to frequency-domain analysis.

Related Experiment Videos

  • Application of directed partial correlation to time-domain analysis.
  • Utilizing both methods on El Niño-Southern Oscillation-Monsoon and SACZ air-sea interaction data.

    • Main Results:

    • Results for El Niño-Southern Oscillation-Monsoon interactions align with existing climate modeling knowledge.
    • Causality inference for SACZ air-sea interactions yielded less clear results, indicating complexity.
    • The study demonstrates the applicability of these Granger causality techniques to climate data.

    Conclusions:

    • Granger causality methods are valuable tools for analyzing directed relationships in climate science.
    • Further research is required to refine the specificity and sensitivity of these methods for complex climate phenomena like SACZ air-sea interactions.
    • The findings support the use of these methodologies for advancing climate dynamics understanding.