Regional and inter-regional effects in evolving climate networks
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F14%3A10293636" target="_blank" >RIV/00216208:11320/14:10293636 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/67985807:_____/14:00427661
Výsledek na webu
<a href="http://www.nonlin-processes-geophys.net/21/451/2014/npg-21-451-2014.pdf" target="_blank" >http://www.nonlin-processes-geophys.net/21/451/2014/npg-21-451-2014.pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5194/npg-21-451-2014" target="_blank" >10.5194/npg-21-451-2014</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Regional and inter-regional effects in evolving climate networks
Popis výsledku v původním jazyce
Complicated systems composed of many interact- ing subsystems are frequently studied as complex networks. In the simplest approach, a given real-world system is rep- resented by an undirected graph composed of nodes stand- ing for the subsystems and non-oriented unweighted edges for interactions present among the nodes; the characteristic properties of the graph are subsequently studied and related to the system's behaviour. More detailed graph models may include edge weights, orientations or multiple types of links; potential time-dependency of edges is conveniently captured in so-called evolving networks. Recently, it has been shown that an evolving climate network can be used to disentangle different types of El Ni?o episodes described in the literature. The time evolution of several graph characteristics has been compared with the intervals of El Ni?o and La Ni?a episodes. In this study we identify the sources of the evolving network characteristics by considering a reduced-dimensi
Název v anglickém jazyce
Regional and inter-regional effects in evolving climate networks
Popis výsledku anglicky
Complicated systems composed of many interact- ing subsystems are frequently studied as complex networks. In the simplest approach, a given real-world system is rep- resented by an undirected graph composed of nodes stand- ing for the subsystems and non-oriented unweighted edges for interactions present among the nodes; the characteristic properties of the graph are subsequently studied and related to the system's behaviour. More detailed graph models may include edge weights, orientations or multiple types of links; potential time-dependency of edges is conveniently captured in so-called evolving networks. Recently, it has been shown that an evolving climate network can be used to disentangle different types of El Ni?o episodes described in the literature. The time evolution of several graph characteristics has been compared with the intervals of El Ni?o and La Ni?a episodes. In this study we identify the sources of the evolving network characteristics by considering a reduced-dimensi
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
DG - Vědy o atmosféře, meteorologie
OECD FORD obor
—
Návaznosti výsledku
Projekt
<a href="/cs/project/GCP103%2F11%2FJ068" target="_blank" >GCP103/11/J068: Interakce, přenos informace a složité struktury v dynamice měnícího se klimatu</a><br>
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2014
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Nonlinear Processes in Geophysics
ISSN
1023-5809
e-ISSN
—
Svazek periodika
2014
Číslo periodika v rámci svazku
21
Stát vydavatele periodika
DE - Spolková republika Německo
Počet stran výsledku
12
Strana od-do
451-462
Kód UT WoS článku
000335376200010
EID výsledku v databázi Scopus
—