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Climate model projections from the Scenario Model Intercomparison Project (ScenarioMIP) of CMIP6The Scenario Model Intercomparison Project (ScenarioMIP) defines and coordinates the main set of future climate projections, based on concentration-driven simulations, within the Coupled Model Intercomparison Project phase 6 (CMIP6). This paper presents a range of its outcomes by synthesizing results from the participating global coupled Earth system models. We limit our scope to the analysis of strictly geophysical outcomes: mainly global averages and spatial patterns of change for surface air temperature and precipitation. We also compare CMIP6 projections to CMIP5 results, especially for those scenarios that were designed to provide continuity across the CMIP phases, at the same time highlighting important differences in forcing composition, as well as in results. The range of future temperature and precipitation changes by the end of the century (2081–2100) encompassing the Tier 1 experiments based on the Shared Socioeconomic Pathway (SSP) scenarios (SSP1-2.6, SSP2-4.5, SSP3-7.0 and SSP5-8.5) and SSP1-1.9 spans a larger range of outcomes compared to CMIP5, due to higher warming (by close to 1.5 °C) reached at the upper end of the 5 %–95 % envelope of the highest scenario (SSP5-8.5). This is due to both the wider range of radiative forcing that the new scenarios cover and the higher climate sensitivities in some of the new models compared to their CMIP5 predecessors. Spatial patterns of change for temperature and precipitation averaged over models and scenarios have familiar features, and an analysis of their variations confirms model structural differences to be the dominant source of uncertainty. Models also differ with respect to the size and evolution of internal variability as measured by individual models' initial condition ensemble spreads, according to a set of initial condition ensemble simulations available under SSP3-7.0. These experiments suggest a tendency for internal variability to decrease along the course of the century in this scenario, a result that will benefit from further analysis over a larger set of models. Benefits of mitigation, all else being equal in terms of societal drivers, appear clearly when comparing scenarios developed under the same SSP but to which different degrees of mitigation have been applied. It is also found that a mild overshoot in temperature of a few decades around mid-century, as represented in SSP5-3.4OS, does not affect the end outcome of temperature and precipitation changes by 2100, which return to the same levels as those reached by the gradually increasing SSP4-3.4 (not erasing the possibility, however, that other aspects of the system may not be as easily reversible). Central estimates of the time at which the ensemble means of the different scenarios reach a given warming level might be biased by the inclusion of models that have shown faster warming in the historical period than the observed. Those estimates show all scenarios reaching 1.5 °C of warming compared to the 1850–1900 baseline in the second half of the current decade, with the time span between slow and fast warming covering between 20 and 27 years from present. The warming level of 2 °C of warming is reached as early as 2039 by the ensemble mean under SSP5-8.5 but as late as the mid-2060s under SSP1-2.6. The highest warming level considered (5 °C) is reached by the ensemble mean only under SSP5-8.5 and not until the mid-2090s.d-2090s.
Document ID
20210014991
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Claudia Tebaldi ORCID
(Pacific Northwest National Laboratory Richland, Washington, United States)
Kevin Debeire ORCID
(German Aerospace Center Cologne, Germany)
Veronika Eyring ORCID
(German Aerospace Center Cologne, Germany)
Erich Fischer ORCID
(ETH Zurich Zurich, Switzerland)
John Fyfe
(Environment Canada Gatineau, Quebec, Canada)
Pierre Friedlingstein ORCID
(University of Exeter Exeter, United Kingdom)
Reto Knutti ORCID
(ETH Zurich Zurich, Switzerland)
Jason Lowe
(Met Office Exeter, United Kingdom)
Brian O'Neill
(University of Denver Denver, Colorado, United States)
Benjamin Sanderson ORCID
(Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique Toulouse, France)
Detlef van Vuuren
(Utrecht University Utrecht, Utrecht, Netherlands)
Keywan Riahi ORCID
(International Institute for Applied Systems Analysis Laxenburg, Austria)
Malte Meinshausen ORCID
(University of Melbourne Melbourne, Victoria, Australia)
Zebedee Nicholls ORCID
(University of Melbourne Melbourne, Victoria, Australia)
Katarzyna B. Tokarska ORCID
(ETH Zurich Zurich, Switzerland)
George Hurtt ORCID
(University of Maryland, College Park College Park, Maryland, United States)
Elmar Kriegler
(Potsdam Institute for Climate Impact Research Potsdam, Germany)
Jean-Francois Lamarque ORCID
(National Center for Atmospheric Research Boulder, Colorado, United States)
Gerald Meehl
(National Center for Atmospheric Research Boulder, Colorado, United States)
Richard Moss
(Pacific Northwest National Laboratory Richland, Washington, United States)
Susanne E. Bauer ORCID
(Goddard Institute for Space Studies New York, New York, United States)
Olivier Boucher ORCID
(Institut Pierre-Simon Laplace Paris, France)
Victor Brovkin ORCID
(Max Planck Institute for Meteorology Hamburg, Germany)
Young-Hwa Byun ORCID
(National Institute of Meteorological Sciences Seogwipo, South Korea)
Martin Dix
(CSIRO Ocean and Atmosphere Canberra, Australian Capital Territory, Australia)
Silvio Gualdi ORCID
(Euro-Mediterranean Center for Climate Change Lecce, Italy)
Huan Guo ORCID
(National Oceanic and Atmospheric Administration Washington D.C., District of Columbia, United States)
Jasmin G. John ORCID
(Geophysical Fluid Dynamics Laboratory Princeton, New Jersey, United States)
Slava Kharin ORCID
(Environment Canada Gatineau, Quebec, Canada)
YoungHo Kim
(Korea Institute of Ocean Science and Technology Ansan-si, South Korea)
Tsuyoshi Koshiro ORCID
(Japan Meteorological Agency Tokyo, Japan)
Libin Ma
(Nanjing University of Information Science and Technology Nanjing, China)
Dirk Olivié
(Norwegian Meteorological Institute Oslo, Norway)
Swapna Panickal ORCID
(Indian Institute of Tropical Meteorology Pune, India)
Fangli Qiao
(Ministry of Natural Resources Beijing, China)
Xinyao Rong
(Chinese Academy of Meteorological Sciences)
Nan Rosenbloom ORCID
(National Center for Atmospheric Research Boulder, Colorado, United States)
Martin Schupfner
(German Climate Computing Centre Hamburg, Germany)
Roland Séférian ORCID
(Centre National de Recherches Météorologiques Toulouse, France)
Alistair Sellar ORCID
(Met Office Exeter, United Kingdom)
Tido Semmler ORCID
(Alfred Wegener Institute for Polar and Marine Research Bremerhaven, Germany)
Xiaoying Shi ORCID
(Oak Ridge National Laboratory Oak Ridge, Tennessee, United States)
Zhenya Song ORCID
(Ministry of Natural Resources Beijing, China)
Christian Steger ORCID
(German Climate Computing Centre Hamburg, Germany)
Ronald Stouffer
(University of Arizona Tucson, Arizona, United States)
Neil Swart ORCID
(Environment Canada Gatineau, Quebec, Canada)
Kaoru Tachiiri
(Japan Agency for Marine-Earth Science and Technology Yokosuka, Japan)
Qi Tang ORCID
(Lawrence Livermore National Laboratory Livermore, California, United States)
Hiroaki Tatebe ORCID
(Japan Agency for Marine-Earth Science and Technology Yokosuka, Japan)
Aurore Voldoire ORCID
(Centre National de Recherches Météorologiques Toulouse, France)
Evgeny Volodin
(Institute of Numerical Mathematics Moscow, Russia)
Klaus Wyser ORCID
(Swedish Meteorological and Hydrological Institute Norrköping, Sweden)
Xiaoge Xin
(China Meteorological Administration Beijing, China)
Shuting Yang ORCID
(Danish Meteorological Institute Copenhagen, Denmark)
Yongqiang Yu ORCID
(Institute of Atmospheric Physics Beijing, China)
Tilo Ziehn ORCID
(CSIRO Ocean and Atmosphere Canberra, Australian Capital Territory, Australia)
Date Acquired
May 2, 2021
Publication Date
March 1, 2021
Publication Information
Publication: Earth System Dynamics
Publisher: Copernicus Publications / European Geosciences Union
Volume: 12
Issue: 1
Issue Publication Date: January 1, 2021
ISSN: 2190-4979
e-ISSN: 2190-4987
Subject Category
Meteorology And Climatology
Funding Number(s)
WBS: 509496.02.08.04.24
CONTRACT_GRANT: DE-AC05-76RLO1830
CONTRACT_GRANT: EU H2020 641816
CONTRACT_GRANT: DEAC52-07NA27344
CONTRACT_GRANT: H2020 CONSTRAIN 820829
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
Technical Review
External Peer Committee
Keywords
Scenario Model Intercomparison Project (ScenarioMIP)
future climate projections
concentration-driven simulations
Coupled Model Intercomparison Project phase 6 (CMIP6)
global coupled Earth system models
global averages
surface air temperature
precipitation
spatial patterns of change
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