On the influence of spatial sampling on climate networks

dc.bibliographicCitation.firstPage651eng
dc.bibliographicCitation.issue3eng
dc.bibliographicCitation.volume21eng
dc.contributor.authorMolkenthin, N.
dc.contributor.authorRehfeld, K.
dc.contributor.authorStolbova, V.
dc.contributor.authorTupikina, L.
dc.contributor.authorKurths, J.
dc.date.accessioned2020-08-01T15:36:11Z
dc.date.available2020-08-01T15:36:11Z
dc.date.issued2014
dc.description.abstractClimate networks are constructed from climate time series data using correlation measures. It is widely accepted that the geographical proximity, as well as other geographical features such as ocean and atmospheric currents, have a large impact on the observable time-series similarity. Therefore it is to be expected that the spatial sampling will influence the reconstructed network. Here we investigate this by comparing analytical flow networks, networks generated with the START model and networks from temperature data from the Asian monsoon domain. We evaluate them on a regular grid, a grid with added random jittering and two variations of clustered sampling. We find that the impact of the spatial sampling on most network measures only distorts the plots if the node distribution is significantly inhomogeneous. As a simple diagnostic measure for the detection of inhomogeneous sampling we suggest the Voronoi cell size distribution.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/5290
dc.identifier.urihttps://doi.org/10.34657/3919
dc.language.isoengeng
dc.publisherGöttingen : Copernicus GmbHeng
dc.relation.doihttps://doi.org/10.5194/npg-21-651-2014
dc.relation.ispartofseriesNonlinear Processes in Geophysics 21 (2014), Nr. 3eng
dc.relation.issn1023-5809
dc.rights.licenseCC BY 3.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/eng
dc.subjectclimate networkseng
dc.subjecttime series dataeng
dc.subjectspatial samplingeng
dc.subject.ddc550eng
dc.titleOn the influence of spatial sampling on climate networkseng
dc.typearticleeng
dc.typeTexteng
dcterms.bibliographicCitation.journalTitleNonlinear Processes in Geophysicseng
tib.accessRightsopenAccesseng
wgl.contributorPIKeng
wgl.subjectUmweltwissenschafteneng
wgl.typeZeitschriftenartikeleng
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