Cross-Scale Interactions and Information Transfer

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F14%3A00435636" target="_blank" >RIV/67985807:_____/14:00435636 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.3390/e16105263" target="_blank" >http://dx.doi.org/10.3390/e16105263</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/e16105263" target="_blank" >10.3390/e16105263</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Cross-Scale Interactions and Information Transfer

Popis výsledku v původním jazyce

An information-theoretic approach for detecting interactions and information transfer between two systems is extended to interactions between dynamical phenomena evolving on different time scales of a complex, multiscale process. The approach is demonstrated in the detection of an information transfer from larger to smaller time scales in a model multifractal process and applied in a study of cross-scale interactions in atmospheric dynamics. Applying a form of the conditional mutual information and a statistical test based on the Fourier transform and multifractal surrogate data to about a century long records of daily mean surface air temperature from various European locations, an information transfer from larger to smaller time scales has been observed as the influence of the phase of slow oscillatory phenomena with the periods around 6?11 years on the amplitudes of the variability characterized by the smaller temporal scales from a few months to 4?5 years. These directed cross-scal

Název v anglickém jazyce

Cross-Scale Interactions and Information Transfer

Popis výsledku anglicky

An information-theoretic approach for detecting interactions and information transfer between two systems is extended to interactions between dynamical phenomena evolving on different time scales of a complex, multiscale process. The approach is demonstrated in the detection of an information transfer from larger to smaller time scales in a model multifractal process and applied in a study of cross-scale interactions in atmospheric dynamics. Applying a form of the conditional mutual information and a statistical test based on the Fourier transform and multifractal surrogate data to about a century long records of daily mean surface air temperature from various European locations, an information transfer from larger to smaller time scales has been observed as the influence of the phase of slow oscillatory phenomena with the periods around 6?11 years on the amplitudes of the variability characterized by the smaller temporal scales from a few months to 4?5 years. These directed cross-scal

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

Entropy

ISSN

1099-4300

e-ISSN

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Svazek periodika

16

Číslo periodika v rámci svazku

10

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

27

Strana od-do

5263-5289

Kód UT WoS článku

000344459500008

EID výsledku v databázi Scopus

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