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Synchronization and causality across time scales in El Niño Southern Oscillation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F18%3A00499543" target="_blank" >RIV/67985807:_____/18:00499543 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1038/s41612-018-0043-7" target="_blank" >http://dx.doi.org/10.1038/s41612-018-0043-7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/s41612-018-0043-7" target="_blank" >10.1038/s41612-018-0043-7</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Synchronization and causality across time scales in El Niño Southern Oscillation

  • Original language description

    Statistical inference of causal interactions and synchronization between dynamical phenomena evolving on different temporal scales is of vital importance for better understanding and prediction of natural complex systems such as the Earth’s climate. This article introduces and applies information theory diagnostics to phase and amplitude time series of different oscillatory components of observed data that characterizes El Niño/Southern Oscillation. A suite of significant interactions between processes operating on different time scales is detected and shown to be important for emergence of extreme events. The mechanisms of these nonlinear interactions are further studied in conceptual low-order and state-of-the-art dynamical, as well as statistical climate models. Observed and simulated interactions exhibit substantial discrepancies, whose understanding may be the key to an improved prediction of ENSO. Moreover, the statistical framework applied here is suitable for inference of cross-scale interactions in human brain dynamics and other complex systems.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    10510 - Climatic research

Result continuities

  • Project

    <a href="/en/project/LH14001" target="_blank" >LH14001: CLIMATE NETWORKS: Multiple scales of dynamics and interactions in the Earth atmosphere</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    npj Climate and Atmospheric Science

  • ISSN

    2397-3722

  • e-ISSN

  • Volume of the periodical

    1

  • Issue of the periodical within the volume

    12 November

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    8

  • Pages from-to

  • UT code for WoS article

  • EID of the result in the Scopus database