Reliability of Inference of Directed Climate Networks Using Conditional Mutual Information

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F13%3A00393073" target="_blank" >RIV/67985807:_____/13:00393073 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.3390/e15062023" target="_blank" >http://dx.doi.org/10.3390/e15062023</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/e15062023" target="_blank" >10.3390/e15062023</a>

Result language

angličtina

Original language name

Reliability of Inference of Directed Climate Networks Using Conditional Mutual Information

Original language description

Across geosciences, many investigated phenomena relate to specific complex systems consisting of intricately intertwined interacting subsystems. Such dynamical complex systems can be represented by a directed graph, where each link denotes an existence of a causal relation, or information exchange between the nodes. For geophysical systems such as global climate, these relations are commonly not theoretically known but estimated from recorded data using causality analysis methods. These include bivariate nonlinear methods based on information theory and their linear counterpart. The trade-off between the valuable sensitivity of nonlinear methods to more general interactions and the potentially higher numerical reliability of linear methods may affect inference regarding structure and variability of climate networks. We investigate the reliability of directed climate networks detected by selected methods and parameter settings, using a stationarized model of dimensionality-reduced surfa

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

<a href="/en/project/GCP103%2F11%2FJ068" target="_blank" >GCP103/11/J068: Interactions, information transfer and complex structures in the dynamics of changing climate</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2013

Confidentiality

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

Name of the periodical

Entropy

ISSN

1099-4300

e-ISSN

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Volume of the periodical

15

Issue of the periodical within the volume

6

Country of publishing house

CH - SWITZERLAND

Number of pages

23

Pages from-to

2023-2045

UT code for WoS article

000320773000005

EID of the result in the Scopus database

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