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dc.contributor.authorO'Neill, BC
dc.contributor.authorTebaldi, C
dc.contributor.authorVan Vuuren, DP
dc.contributor.authorEyring, V
dc.contributor.authorFriedlingstein, P
dc.contributor.authorHurtt, G
dc.contributor.authorKnutti, R
dc.contributor.authorKriegler, E
dc.contributor.authorLamarque, JF
dc.contributor.authorLowe, J
dc.contributor.authorMeehl, GA
dc.contributor.authorMoss, R
dc.contributor.authorRiahi, K
dc.contributor.authorSanderson, BM
dc.date.accessioned2016-11-29T13:22:11Z
dc.date.issued2016-09-28
dc.description.abstractProjections of future climate change play a fundamental role in improving understanding of the climate system as well as characterizing societal risks and response options. The Scenario Model Intercomparison Project (ScenarioMIP) is the primary activity within Phase 6 of the Coupled Model Intercomparison Project (CMIP6) that will provide multi-model climate projections based on alternative scenarios of future emissions and land use changes produced with integrated assessment models. In this paper, we describe ScenarioMIP's objectives, experimental design, and its relation to other activities within CMIP6. The ScenarioMIP design is one component of a larger scenario process that aims to facilitate a wide range of integrated studies across the climate science, integrated assessment modeling, and impacts, adaptation, and vulnerability communities, and will form an important part of the evidence base in the forthcoming Intergovernmental Panel on Climate Change (IPCC) assessments. At the same time, it will provide the basis for investigating a number of targeted science and policy questions that are especially relevant to scenario-based analysis, including the role of specific forcings such as land use and aerosols, the effect of a peak and decline in forcing, the consequences of scenarios that limit warming to below 2 °C, the relative contributions to uncertainty from scenarios, climate models, and internal variability, and long-term climate system outcomes beyond the 21st century. To serve this wide range of scientific communities and address these questions, a design has been identified consisting of eight alternative 21st century scenarios plus one large initial condition ensemble and a set of long-term extensions, divided into two tiers defined by relative priority. Some of these scenarios will also provide a basis for variants planned to be run in other CMIP6-Endorsed MIPs to investigate questions related to specific forcings. Harmonized, spatially explicit emissions and land use scenarios generated with integrated assessment models will be provided to participating climate modeling groups by late 2016, with the climate model simulations run within the 2017-2018 time frame, and output from the climate model projections made available and analyses performed over the 2018-2020 period.en_GB
dc.description.sponsorshipCRESCENDO project members (V. Eyring, P. Friedlingstein, E. Kriegler, R. Knutti, J. Lowe, K. Riahi, D. van Vuuren) acknowledge funding received from the Horizon 2020 European Union’s Framework Programme for Research and Innovation under grant agreement no. 641816. C. Tebaldi, G. A. Meehl and B. M. Sanderson acknowledge the support of the Regional and Global Climate Modeling Program (RGCM) of the U.S. Department of Energy’s, Office of Science (BER), Cooperative Agreement DE-FC02-97ER62402en_GB
dc.identifier.citationVol. 9, pp. 3461 - 3482en_GB
dc.identifier.doi10.5194/gmd-9-3461-2016
dc.identifier.urihttp://hdl.handle.net/10871/24643
dc.language.isoenen_GB
dc.publisherEuropean Geosciences Unionen_GB
dc.rightsThis is the final version of an open access article available from EGU via the DOI in this record. This work is distributed under the Creative Commons Attribution 3.0 License: https://creativecommons.org/licenses/by/3.0/en_GB
dc.titleThe Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6en_GB
dc.typeOtheren_GB
dc.date.available2016-11-29T13:22:11Z
dc.identifier.issn1991-959X
dc.descriptionModel experiment description paperen_GB
dc.identifier.eissn1991-9603
dc.identifier.journalGeoscientific Model Developmenten_GB


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