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Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization
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Abstract
Abstract. By coordinating the design and distribution of global climate model simulations of the past, current and future climate, the Coupled Model Intercomparison Project (CMIP) has become one of the foundational elements of climate science. However, the need to address an ever-expanding range of scientific questions arising from more and more research communities has made it necessary to revise the organization of CMIP. After a long and wide community consultation, a new and more federated structure has been put in place. It consists of three major elements: (1) a handful of common experiments, the DECK (Diagnostic, Evaluation and Characterization of Klima experiments) and the CMIP Historical Simulation (1850–near-present) that will maintain continuity and help document basic characteristics of models across different phases of CMIP, (2) common standards, coordination, infrastructure and documentation that will facilitate the distribution of model outputs and the characterization of the model ensemble, and (3) an ensemble of CMIP-Endorsed Model Intercomparison Projects (MIPs) that will be specific to a particular phase of CMIP (now CMIP6) and that will build on the DECK and the CMIP Historical Simulation to address a large range of specific questions and fill the scientific gaps of the previous CMIP phases. The DECK and CMIP Historical Simulation, together with the use of CMIP data standards, will be the entry cards for models participating in CMIP. The participation in the CMIP6-Endorsed MIPs will be at the discretion of the modelling groups, and will depend on scientific interests and priorities. With the Grand Science Challenges of the World Climate Research Programme (WCRP) as its scientific backdrop, CMIP6 will address three broad questions: (i) how does the Earth system respond to forcing?, (ii) what are the origins and consequences of systematic model biases?, and (iii) how can we assess future climate changes given climate variability, predictability and uncertainties in scenarios? This CMIP6 overview paper presents the background and rationale for the new structure of CMIP, provides a detailed description of the DECK and the CMIP6 Historical Simulation, and includes a brief introduction to the 21 CMIP6-Endorsed MIPs.
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“Unlike in CMIP3 and CMIP5, where climate model projections were part of the core experiments, in CMIP6 they are part of a dedicated CMIP6-Endorsed MIP (Eyring et al., 2016).”
From The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6 (2016) · cites this paper as Eyring et al., 2016
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“The IPCC AR6 statement on ENSO SST variability is contrary to studies 5-7 based on climate models participating in the sixth phase of the Coupled Model Intercomparison Project 8 (CMIP6).”
From Increased ENSO sea surface temperature variability under four IPCC emission scenarios (2022) · cites this paper as [8]
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“The analysis provides a test of the ability of the corresponding ALL simulations to reproduce the regional trends in annual mean temperature and precipitation against observational data 56 .”
From Machine-learning-based evidence and attribution mapping of 100,000 climate impact studies (2021) · cites this paper as [56]
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Cites
Climate change 2007: the physical science basis
Solomon, S., Qin, D., Manning, M., Marquis, M. C., Averyt, K. B., Tignor, M., Miller, H. L., & Chen, Z. (2007) · Cited by 23,398
An Overview of CMIP5 and the Experiment Design
Taylor, K. E., Stouffer, R. J., & Meehl, G. A. (2012) · Bulletin of the American Meteorological Society · doi:10.1175/bams-d-11-00094.1 · Cited by 14,052
Self-citationThe representative concentration pathways: an overview
van Vuuren, D. P., Edmonds, J., Kainuma, M., Riahi, K., Thomson, A., Hibbard, K., Hurtt, G. C., Kram, T., Krey, V., Lamarque, J.-F., et al. (2011) · Climatic Change · doi:10.1007/s10584-011-0148-z · Cited by 7,741
The next generation of scenarios for climate change research and assessment
Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., van Vuuren, D. P., Carter, T. R., Emori, S., Kainuma, M., Kram, T., et al. (2010) · Nature · doi:10.1038/nature08823 · Cited by 6,467
Self-citationAnthropogenic and Natural Radiative Forcing
Myhre, G., Shindell, D., & Pongratz, J. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781107415324.018 · Cited by 4,634
IPCC (2007): Climate Change The Physical Science Basis
Solomon, S. (2007) · AGU Fall Meeting Abstracts · Cited by 3,476
O’Neill, B. C., Kriegler, E., Ebi, K. L., Kemp-Benedict, E., Riahi, K., Rothman, D. S., van Ruijven, B. J., van Vuuren, D. P., Birkmann, J., Kok, K., et al. (2017) · Global Environmental Change · doi:10.1016/j.gloenvcha.2015.01.004 · Cited by 3,359
THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research
Meehl, G., Covey, C., Delworth, T., Latif, M., Mcavaney, B., Mitchell, J., Stouffer, R., & Taylor, K. E. (2007) · Bulletin of the American Meteorological Society · doi:10.1175/bams-88-9-1383 · Cited by 2,831
Self-citationCauses of Climate Change Over the Past 1000 Years
Crowley, T. J. (2000) · Science · doi:10.1126/science.289.5477.270 · Cited by 2,068
Change, I. P. O. C. (2014) · Cambridge University Press eBooks · doi:10.1017/cbo9781107415324.020 · Cited by 1,943
Research works printed but not linked: 1
- Cubasch, U., Wuebbles, D., Chen, D., Facchini, M. C., Frame, D., Mahowald, N., and Winther, J.-G.: Introduction, in: Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Stocker, T. F., Qin, D., Plattner, G.-K., Tignor, M., Allen, S. K., Boschung, J., Nauels, A., Xia, Y., Bex, V., and Midgley, P. M., Cambridge University Press, Cambridge, UK and New York, NY, USA, 2013.
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Fiedler, S., Stevens, B., Gidden, M., Smith, S. J., Riahi, K., & van Vuuren, D. (2019) · Geoscientific Model Development · doi:10.5194/gmd-12-989-2019 · Cited by 55
Self-citationVogel, A., Alessa, G., Scheele, R., Weber, L., Dubovik, O., North, P., & Fiedler, S. (2022) · Journal of Geophysical Research: Atmospheres · doi:10.1029/2021jd035483 · Cited by 55
Mitchell, D. M., Eunice Lo, Y. T., Seviour, W. J. M., Haimberger, L., & Polvani, L. M. (2020) · Environmental Research Letters · doi:10.1088/1748-9326/ab9af7 · Cited by 57
Zachariah, M., Arulalan, T., AchutaRao, K., Saeed, F., Jha, R., Dhasmana, M. K., Mondal, A., Bonnet, R., Vautard, R., Philip, S., et al. (2023) · Environmental Research Climate · doi:10.1088/2752-5295/acf4b6 · Cited by 48
Hourdin, F., Ferster, B., Deshayes, J., Mignot, J., Musat, I., & Williamson, D. (2023) · Science Advances · doi:10.1126/sciadv.adf2758 · Cited by 49
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Ming, Y., Loeb, N. G., Lin, P., Shen, Z., Naik, V., Singer, C. E., Ward, R. X., Paulot, F., Zhang, Z., Bellouin, N., et al. (2021) · Geophysical Research Letters · doi:10.1029/2020gl091699 · Cited by 39
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Hueholt, D. M., Barnes, E. A., Hurrell, J. W., & Morrison, A. L. (2024) · Nature Communications · doi:10.1038/s41467-024-47656-z · Cited by 23
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Chen, Y., Ji, D., Zhang, Q., Moore, J. C., Boucher, O., Jones, A., Lurton, T., Mills, M. J., Niemeier, U., Séférian, R., et al. (2023) · Earth System Dynamics · doi:10.5194/esd-14-55-2023 · Cited by 19
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“ResMIP) (accessed on 30 January 2022) for the 1982–2014 period [31,35], which is common with OISST 1/4.”
BackgroundYamamoto, A. L. C., Corrêa, M. D. P., Torres, R. R., Martins, F. B., & Godin-Beekmann, S. (2024) · Photochemical & Photobiological Sciences · doi:10.1007/s43630-024-00594-7 · Cited by 7
Qiu, H. (2023) · doi:10.5194/egusphere-2023-375-ac5
Metadata
- Authors
- Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., & Taylor, K. E.
- Affiliations
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
- Centre National de la Recherche Scientifique (FR)
- NSF National Center for Atmospheric Research (US)
- Met Office (GB)
- National Oceanic and Atmospheric Administration (US)
- Lawrence Livermore National Laboratory (US)
- Corresponding author
- Eyring, Veronika
- ORCID
- Venue
- Geoscientific Model Development
- Publisher
- Copernicus GmbH
- Published
- 2016-05-26
- Volume
- 9
- Issue
- 5
- Pages
- 1937-1958
- ISSN
- 1991-959X (ISSN-L)
- 1991-9603
- OpenAlex
- W2193503481
- Cited by
- 11,981
- References
- 47
- Citations by year
- 2026: 1479 · 2025: 2008 · 2024: 2052 · 2023: 1974 · 2022: 1839 · 2021: 1479 · 2020: 680 · 2019: 194 · 2018: 149 · 2017: 82 · 2016: 40
- FWCI
- 114.68
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Geoscientific model development (publishedVersion, cc-by)
- HAL (submittedVersion, other-oa)
- elib (German Aerospace Center) (submittedVersion, other-oa)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- HAL (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- NOAA Institutional Repository (submittedVersion, cc-by)
- Funders
- National Science Foundation
- U.S. Department of Energy (DEFC0297ER62402, FC02-97ER62402)
- National Center for Atmospheric Research
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Geology and Paleoclimatology Research
- Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Meteorological Phenomena and Simulations
- Keywords
- CMIP6, CMIP, natural climate variability, climate predictability, climate change assessment
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