Diagnostic indicators for integrated assessment models of climate policy

11541 15 80569 2 222955 document 80569 1-s2.0-S0040162513002576-main.pdf application/pdf e27026ddfb862a148a632ae41df2ed43 MD5 1336245 2018-01-24 13:14:24 https://pure.iiasa.ac.at/id/eprint/11541/1/1-s2.0-S0040162513002576-main.pdf 11541 1 1 application/pdf text en public cc_by

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published 80600 2 222992 document 80600 lightbox.jpg image/png ccdec1428a1b29e9335c7d4c3523466c MD5 44568 2018-01-24 13:24:56 https://pure.iiasa.ac.at/id/eprint/11541/2/lightbox.jpg 11541 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/80569 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/80569 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/80569 archive 351 disk0/00/01/15/41 2016-01-15 08:53:39 2021-08-27 17:25:16 2016-01-15 08:53:39 article show Kriegler E. Petermann N. Krey V. 8099 0000-0003-0307-3515 Schwanitz V.J. Luderer G. Ashina S. Bosetti V. Eom J. Kitous A. Mejean A. Paroussos L. Sano F. Turton H. 1778 Wilson C. 8428 0000-0001-8164-3566 van Vuuren D.P. Diagnostic indicators for integrated assessment models of climate policy pub iis_cli iis_ene iis_mod prog_ene Climate policy; Integrated assessment models; Energy system models; Model diagnostics; Climate change economics 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. 2015-01 published Elsevier 10.1016/j.techfore.2013.09.020 XJ-15-021 Technological Forecasting and Social Change; 90(Part A):45-61 (January 2015) (Published online 5 March 2014) [doi:10.1016/j.techfore.2013.09.020] Special Section 166 1626 333 public Technological Forecasting and Social Change 90 Part A 45-61 TRUE 1873-5509 Assessment of Climate Change Mitigation Pathways and Evaluation of the Robustness of Mitigation Cost Estimates (AMPERE, FP7 265139) FALSE yes info:eu-repo/grantAgreement/EC/FP7/265139/EU/Assessment of Climate Change Mitigation Pathways and Evaluation of the Robustness of Mitigation Cost Estimates/AMPERE info:eu-repo/semantics/article info:eu-repo/semantics/openAccess