Change search
ReferencesLink to record
Permanent link

Direct link
How complex climate networks complement eigen techniques for the statistical analysis of climatological data
Stockholm University, Faculty of Science, Stockholm Resilience Centre. Potsdam Institute for Climate Impact Research, Germany.
Show others and affiliations
Number of Authors: 5
2015 (English)In: Climate Dynamics, ISSN 0930-7575, E-ISSN 1432-0894, Vol. 45, no 9-10, 2407-2424 p.Article in journal (Refereed) Published
Abstract [en]

Eigen techniques such as empirical orthogonal function (EOF) or coupled pattern (CP)/maximum covariance analysis have been frequently used for detecting patterns in multivariate climatological data sets. Recently, statistical methods originating from the theory of complex networks have been employed for the very same purpose of spatio-temporal analysis. This climate network (CN) analysis is usually based on the same set of similarity matrices as is used in classical EOF or CP analysis, e.g., the correlation matrix of a single climatological field or the cross-correlation matrix between two distinct climatological fields. In this study, formal relationships as well as conceptual differences between both eigen and network approaches are derived and illustrated using global precipitation, evaporation and surface air temperature data sets. These results allow us to pinpoint that CN analysis can complement classical eigen techniques and provides additional information on the higher-order structure of statistical interrelationships in climatological data. Hence, CNs are a valuable supplement to the statistical toolbox of the climatologist, particularly for making sense out of very large data sets such as those generated by satellite observations and climate model intercomparison exercises.

Place, publisher, year, edition, pages
2015. Vol. 45, no 9-10, 2407-2424 p.
Keyword [en]
Climate networks, Empirical orthogonal functions, Coupled patterns, Maximum covariance analysis, Climate data analysis
National Category
Earth and Related Environmental Sciences
Identifiers
URN: urn:nbn:se:su:diva-123785DOI: 10.1007/s00382-015-2479-3ISI: 000363952100008OAI: oai:DiVA.org:su-123785DiVA: diva2:885663
Available from: 2015-12-20 Created: 2015-12-07 Last updated: 2015-12-20Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Donges, Jonathan F.
By organisation
Stockholm Resilience Centre
In the same journal
Climate Dynamics
Earth and Related Environmental Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 7 hits
ReferencesLink to record
Permanent link

Direct link