dc.contributor.author | Feldhoff, Jan H. | |
dc.contributor.author | Lange, Stefan | |
dc.contributor.author | Volkholz, Jan | |
dc.contributor.author | Donges, Jonathan F. | |
dc.contributor.author | Kurths, Juergen | |
dc.contributor.author | Gerstengarbe, Friedrich-Wilhelm | |
dc.date.accessioned | 2015-05-04T23:01:11Z | |
dc.date.available | 2015-05-04T23:01:11Z | |
dc.date.issued | 2015-03 | |
dc.identifier.citation | Feldhoff , J H , Lange , S , Volkholz , J , Donges , J F , Kurths , J & Gerstengarbe , F-W 2015 , ' Complex networks for climate model evaluation with application to statistical versus dynamical modeling of South American climate ' , Climate dynamics , vol. 44 , no. 5-6 , pp. 1567-1581 . https://doi.org/10.1007/s00382-014-2182-9 | en |
dc.identifier.issn | 0930-7575 | |
dc.identifier.other | PURE: 50351824 | |
dc.identifier.other | PURE UUID: e5d7750c-9654-449f-a2b1-e956080dac95 | |
dc.identifier.other | WOS: 000350364500023 | |
dc.identifier.other | Scopus: 84927560665 | |
dc.identifier.uri | http://hdl.handle.net/2164/4489 | |
dc.description | Acknowledgments: This paper was developed within the scope of the IRTG 1740/TRP 2011/50151-0, funded by the DFG/FAPESP. Furthermore, this work has been financially supported by the Leibniz Society (project ECONS), and the Stordalen Foundation (JFD). For certain calculations, the software packages pyunicorn (Donges et al. 2013a) and igraph (Csa´rdi and Nepusz 2006) were used. The authors would like to thank Manoel F. Cardoso, Niklas Boers, and the reviewers for helpful comments on the manuscript. Open Access: This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. | en |
dc.format.extent | 15 | |
dc.language.iso | eng | |
dc.relation.ispartof | Climate dynamics | en |
dc.rights | This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0/ | en |
dc.subject | SDG 13 - Climate Action | en |
dc.subject | climate model evaluation | en |
dc.subject | complex networks | en |
dc.subject | South American climate | en |
dc.subject | network comparison | en |
dc.subject | Amazon rain-forest | en |
dc.subject | El-Nino | en |
dc.subject | simulations | en |
dc.subject | precipitation | en |
dc.subject | performance | en |
dc.subject | variability | en |
dc.subject | schemes | en |
dc.subject | systems | en |
dc.subject | CLM | en |
dc.subject | QC Physics | en |
dc.subject.lcc | QC | en |
dc.title | Complex networks for climate model evaluation with application to statistical versus dynamical modeling of South American climate | en |
dc.type | Journal article | en |
dc.contributor.institution | University of Aberdeen.Physics | en |
dc.contributor.institution | University of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB) | en |
dc.description.status | Peer reviewed | en |
dc.description.version | Postprint | en |
dc.identifier.doi | https://doi.org/10.1007/s00382-014-2182-9 | |
dc.identifier.vol | 44 | en |
dc.identifier.iss | 5 | en |