University of Aberdeen logo

AURA - Aberdeen University Research Archive

 

Temporal organization of magnetospheric fluctuations unveiled by recurrence patterns in the Dst index

Simple item page
dc.contributor.authorDonner, Reik V.
dc.contributor.authorStolbova, Veronika
dc.contributor.authorBalasis, Georgios
dc.contributor.authorDonges, Jonathan F.
dc.contributor.authorGeorgiou, Marina
dc.contributor.authorPotirakis, Stelios M.
dc.contributor.authorKurths, Jürgen
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.date.accessioned2019-08-27T23:02:12Z
dc.date.available2019-08-27T23:02:12Z
dc.date.embargoedUntil2019-08-28
dc.date.issued2018-08-31
dc.descriptionThis work has been financially supported by the joint Greek-German project “Transdisciplinary assessment of dynamical complexity in magnetosphere and climate: A unified description of the nonlinear dynamics across extreme events” funded by IKY and DAAD. Individual financial support of the authors has been granted by the LINC (Learning about Interacting Networks in Climate) project (project no. 289447) funded by the Marie Curie Initial Training Network (ITN) program (FP7-PEOPLE2011-ITN), the German Federal Ministry for Science and Education (BMBF) via the Young Investigator’s Group CoSy-CC2 (grant no. 01LN1306A) and the project GLUES, the Stordalen Foundation (Planetary Boundary Research Network PB.net), and the International Research Training Group IRTG 1740/TRP 2014/50151-0, jointly funded by the German Research Foundation (DFG, Deutsche Forschungsgemeinschaft) and the S˜ao Paulo Research Foundation (FAPESP, Funda¸c˜ao de Amparo `a Pesquisa do Estado de S˜ao Paulo). Numerical codes used for estimating RQA and RNA properties can be found in the software package pyunicorn70, which is available at https://github.com/pik-copan/pyunicorn. The Dst data have been obtained from the World Data Center for Geomagnetism, Kyoto (http://wdc.kugi.kyoto-u.ac.jp/index.html). We are grateful to three reviewers of an earlier version of this manuscript for their detailed comments.en
dc.description.statusPeer revieweden
dc.format.extent23
dc.format.extent1666413
dc.identifier116306450
dc.identifierd824327a-accc-47c8-a462-c4178979ee17
dc.identifier85052740559
dc.identifier.citationDonner, R V, Stolbova, V, Balasis, G, Donges, J F, Georgiou, M, Potirakis, S M & Kurths, J 2018, 'Temporal organization of magnetospheric fluctuations unveiled by recurrence patterns in the Dst index', Chaos, vol. 28, no. 8, 085716. https://doi.org/10.1063/1.5024792en
dc.identifier.doi10.1063/1.5024792
dc.identifier.iss8en
dc.identifier.issn1054-1500
dc.identifier.otherArXiv: http://arxiv.org/abs/1802.01426v1
dc.identifier.urihttp://hdl.handle.net/2164/12797
dc.identifier.urlhttps://arxiv.org/abs/1802.01426en
dc.identifier.urlhttps://arxiv.org/pdf/1802.01426.pdfen
dc.identifier.vol28en
dc.language.isoeng
dc.relation.ispartofChaosen
dc.subjectphysics.ao-phen
dc.subjectnlin.CDen
dc.subjectQC Physicsen
dc.subject.lccQCen
dc.titleTemporal organization of magnetospheric fluctuations unveiled by recurrence patterns in the Dst indexen
dc.typeJournal articleen

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
Temporal_organization_of_magnetospheric_fluctuations_unveiled_by_recurrence_patterns_in_the_Dst_index_featured.pdf
Size:
1.59 MB
Format:
Adobe Portable Document Format
Download

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
8.29 KB
Format:
Plain Text
Description:
Download

Collections

All research
Physics research
University Office research