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
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Czech description
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Classification
Type
J<sub>ost</sub> - Miscellaneous article in a specialist periodical
CEP classification
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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
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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
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UT code for WoS article
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EID of the result in the Scopus database
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