A Methodology and Implementation of Automated Emissions Harmonization for Use in Integrated Assessment Models

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submitted 83723 2 235247 document 83723 lightbox.jpg image/png 204aec56fdb0579a288598c89ca15986 MD5 30816 2018-04-12 07:50:39 https://pure.iiasa.ac.at/id/eprint/15214/8/lightbox.jpg 15214 8 8 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/83722 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/83722 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/83722 archive 353 disk0/00/01/52/14 2018-04-12 07:38:24 2021-08-27 17:30:12 2018-04-12 07:38:24 article show Gidden M. 2108 0000-0003-0687-414X Fujimori S. 8258 0000-0001-7897-1796 van den Berg M. Klein D. Smith S.J. van Vuuren D. Riahi K. 1696 0000-0001-7193-3498 A Methodology and Implementation of Automated Emissions Harmonization for Use in Integrated Assessment Models pub prog_ene Integrated Assessment Models, Harmonization, Greenhouse Gases (GHGs), Air Pollution Emissions harmonization refers to the process used to match greenhouse gas (GHG) and air pollutant results from Integrated Assessment Models (IAMs) against a common source of historical emissions. To date, harmonization has been performed separately by individual modeling teams. For the hand-over of emission data for the Shared Socioeconomic Pathways (SSPs) to climate model groups, a new automated approach based on commonly agreed upon algorithms was developed. This work describes the novel methodology for determining such harmonization methods and an open-source Python software library implementing the methodology. A case study is presented for two example scenarios (with and without climate policy cases) using the IAM MESSAGE-GLOBIOM that satisfactorily harmonize over 96% of the total emissions trajectories while having a negligible effect on key long-term climate indicators. This new capability enhances the comparability across different models, increases transparency and robustness of results, and allows other teams to easily participate in intercomparison exercises by using the same, openly available harmonization mechanism 2018-07 published Elsevier 10.1016/j.envsoft.2018.04.002 103 2881 250 public Environmental Modelling & Software 105 187-200 TRUE 1873-6726 Coordinated Research in Earth Systems and Climate: Experiments (CRESCENDO, H2020 641816) FALSE yes info:eu-repo/grantAgreement/EC/H2020/641816/oordinated Research in Earth Systems and Climate: Experiments, kNowledge, Dissemination and Outreach/CRESCENDO info:eu-repo/semantics/article info:eu-repo/semantics/openAccess