Počet záznamů: 1

Synchronization and causality across time scales in El Niño Southern Oscillation

SYSNO ASEP	0499543
Druh ASEP	J - Článek v odborném periodiku
Zařazení RIV	J - Článek v odborném periodiku
Poddruh J	Článek ve WOS
Název	Synchronization and causality across time scales in El Niño Southern Oscillation
Tvůrce(i)	Jajcay, Nikola (UIVT-O)_{RID, ORCID, SAI} Kravtsov, S. (US) Sugihara, G. (US) Tsonis, A.A. (US) Paluš, Milan (UIVT-O)_{RID, SAI, ORCID}
Číslo článku	33
Zdroj.dok.	n p j Climate and Atmospheric Science. - : Nature Publishing Group - ISSN 2397-3722 Roč. 1, 12 November (2018)
Poč.str.	8 s.
Jazyk dok.	eng - angličtina
Země vyd.	GB - Velká Británie
Klíč. slova	casual discovery ; El Niño/Southern Oscillation ; climate ; climate models ; synchronization
Vědní obor RIV	DG - Vědy o atmosféře, meteorologie
Obor OECD	Climatic research
CEP	LH14001 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy
Institucionální podpora	UIVT-O - RVO:67985807
UT WOS	000468007700033
DOI	10.1038/s41612-018-0043-7
Anotace	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.
Pracoviště	Ústav informatiky
Kontakt	Tereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
Rok sběru	2019

Počet záznamů: 1