Non-Linear Dependence and Teleconnections in Climate Data: Sources, Relevance, Nonstationarity

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F14%3A00393071" target="_blank" >RIV/67985807:_____/14:00393071 - isvavai.cz</a>

Alternative codes found

RIV/68378289:_____/14:00393071

Result on the web

<a href="http://dx.doi.org/10.1007/s00382-013-1780-2" target="_blank" >http://dx.doi.org/10.1007/s00382-013-1780-2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00382-013-1780-2" target="_blank" >10.1007/s00382-013-1780-2</a>

Result language

angličtina

Original language name

Non-Linear Dependence and Teleconnections in Climate Data: Sources, Relevance, Nonstationarity

Original language description

Quantification of relations between measured variables of interest by statistical measures of dependence is a common step in analysis of climate data. The choice of dependence measure is key for the results of the subsequent analysis and interpretation.The use of linear Pearson?s correlation coefficient is widespread and convenient. On the other side, as the climate is widely acknowledged to be a nonlinear system, nonlinear dependence quantification methods, such as those based on information-theoretical concepts, are increasingly used for this purpose. In this paper we outline an approach that enables well informed choice of dependence measure for a given type of data, improving the subsequent interpretation of the results. The presented multi-step approach includes statistical testing, quantification of the specific non-linear contribution to the interaction information, localization of areas with strongest nonlinear contribution and assessment of the role of specific temporal patte

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

2014

Confidentiality

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

Name of the periodical

Climate Dynamics

ISSN

0930-7575

e-ISSN

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Volume of the periodical

42

Issue of the periodical within the volume

7-8

Country of publishing house

US - UNITED STATES

Number of pages

14

Pages from-to

1873-1886

UT code for WoS article

000334068100011

EID of the result in the Scopus database

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