Diagnostic indicators for integrated assessment models of climate policy
dc.bibliographicCitation.date | 2015 | |
dc.bibliographicCitation.firstPage | 45 | |
dc.bibliographicCitation.issue | A | |
dc.bibliographicCitation.journalTitle | Technological forecasting and social change : an international journal | eng |
dc.bibliographicCitation.lastPage | 61 | |
dc.bibliographicCitation.volume | 90 | |
dc.contributor.author | Kriegler, Elmar | |
dc.contributor.author | Petermann, Nils | |
dc.contributor.author | Krey, Volker | |
dc.contributor.author | Schwanitz, Valeria Jana | |
dc.contributor.author | Luderer, Gunnar | |
dc.contributor.author | Ashina, Shuichi | |
dc.contributor.author | Bosetti, Valentina | |
dc.contributor.author | Eom, Jiyong | |
dc.contributor.author | Kitous, Alban | |
dc.contributor.author | Méjean, Aurélie | |
dc.contributor.author | Paroussos, Leonidas | |
dc.contributor.author | Sano, Fuminori | |
dc.contributor.author | Turton, Hal | |
dc.contributor.author | Wilson, Charlie | |
dc.contributor.author | Van Vuuren, Detlef P. | |
dc.date.accessioned | 2022-07-22T08:16:38Z | |
dc.date.available | 2022-07-22T08:16:38Z | |
dc.date.issued | 2014 | |
dc.description.abstract | Integrated assessments of how climate policy interacts with energy-economy systems can be performed by a variety of models with different functional structures. In order to provide insights into why results differ between models, this article proposes a diagnostic scheme that can be applied to a wide range of models. Diagnostics can uncover patterns of model behavior and indicate how results differ between model types. Such insights are informative since model behavior can have a significant impact on projections of climate change mitigation costs and other policy-relevant information. The authors propose diagnostic indicators to characterize model responses to carbon price signals and test these in a diagnostic study of 11 global models. Indicators describe the magnitude of emission abatement and the associated costs relative to a harmonized baseline, the relative changes in carbon intensity and energy intensity, and the extent of transformation in the energy system. This study shows a correlation among indicators suggesting that models can be classified into groups based on common patterns of behavior in response to carbon pricing. Such a classification can help to explain variations among policy-relevant model results. | eng |
dc.description.version | publishedVersion | eng |
dc.identifier.uri | https://oa.tib.eu/renate/handle/123456789/9782 | |
dc.identifier.uri | https://doi.org/10.34657/8820 | |
dc.language.iso | eng | eng |
dc.publisher | Amsterdam [u.a.] : Elsevier Science | |
dc.relation.doi | https://doi.org/10.1016/j.techfore.2013.09.020 | |
dc.relation.essn | 0040-1625 | |
dc.rights.license | CC BY 3.0 Unported | |
dc.rights.uri | https://creativecommons.org/licenses/by/3.0/ | |
dc.subject.ddc | 300 | |
dc.subject.ddc | 600 | |
dc.subject.other | Climate change economics | eng |
dc.subject.other | Climate policy | eng |
dc.subject.other | Energy system models | eng |
dc.subject.other | Integrated assessment models | eng |
dc.subject.other | Model diagnostics | eng |
dc.title | Diagnostic indicators for integrated assessment models of climate policy | eng |
dc.type | Article | eng |
dc.type | Text | eng |
tib.accessRights | openAccess | eng |
wgl.contributor | PIK | ger |
wgl.subject | Geowissenschaften | ger |
wgl.subject | Umweltwissenschaften | ger |
wgl.type | Zeitschriftenartikel | ger |
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