Synchronization and causality across time scales in El Niño Southern Oscillation

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Synchronization and causality across time scales in El Niño Southern Oscillation

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Synchronization and causality across time scales in El Niño Southern Oscillation

Popis výsledku anglicky

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.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

10510 - Climatic research

Projekt

<a href="/cs/project/LH14001" target="_blank" >LH14001: Klimatické sítě: Rozmanitost měřítek dynamiky a interakcí v atmosféře Země</a><br>

Návaznosti

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

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

npj Climate and Atmospheric Science

ISSN

2397-3722

e-ISSN

—

Svazek periodika

1

Číslo periodika v rámci svazku

12 November

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

8

Strana od-do

—

Kód UT WoS článku

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EID výsledku v databázi Scopus

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