Emulating coupled atmosphere-ocean and carbon cycle models with a simpler model, MAGICC6 – Part 1: Model description and calibration
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Abstract
Abstract. Current scientific knowledge on the future response of the climate system to human-induced perturbations is comprehensively captured by various model intercomparison efforts. In the preparation of the Fourth Assessment Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC), intercomparisons were organized for atmosphere-ocean general circulation models (AOGCMs) and carbon cycle models, named "CMIP3" and "C4MIP", respectively. Despite their tremendous value for the scientific community and policy makers alike, there are some difficulties in interpreting the results. For example, radiative forcings were not standardized across the various AOGCM integrations and carbon cycle runs, and, in some models, key forcings were omitted. Furthermore, the AOGCM analysis of plausible emissions pathways was restricted to only three SRES scenarios. This study attempts to address these issues. We present an updated version of MAGICC, the simple carbon cycle-climate model used in past IPCC Assessment Reports with enhanced representation of time-varying climate sensitivities, carbon cycle feedbacks, aerosol forcings and ocean heat uptake characteristics. This new version, MAGICC6, is successfully calibrated against the higher complexity AOGCMs and carbon cycle models. Parameterizations of MAGICC6 are provided. The mean of the emulations presented here using MAGICC6 deviates from the mean AOGCM responses by only 2.2% on average for the SRES scenarios. This enhanced emulation skill in comparison to previous calibrations is primarily due to: making a "like-with-like comparison" using AOGCM-specific subsets of forcings; employing a new calibration procedure; as well as the fact that the updated simple climate model can now successfully emulate some of the climate-state dependent effective climate sensitivities of AOGCMs. The diagnosed effective climate sensitivity at the time of CO2 doubling for the AOGCMs is on average 2.88 °C, about 0.33 °C cooler than the mean of the reported slab ocean climate sensitivities. In the companion paper (Part 2) of this study, we examine the combined climate system and carbon cycle emulations for the complete range of IPCC SRES emissions scenarios and the new RCP pathways.
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The results were tested using a reduced-complexity climate model (MAGICC7) that captures some bio-geophysical non-linearities in the climate system.
“To get insight into the uncertainties of our global estimates, we tested the results using a reduced-complexity climate model (MAGICC7) that captures some of the bio-geophysical non-linearities in the climate system54 (Supplementary Note 3).”
From Risk to rely on soil carbon sequestration to offset global ruminant emissions (2023) · cites this paper as [54]
Cites
Aerosols, Cloud Microphysics, and Fractional Cloudiness
Albrecht, B. A. (1989) · Science · doi:10.1126/science.245.4923.1227 · Cited by 4,422 · see citing works
The use of the multi-model ensemble in probabilistic climate projections
Tebaldi, C., & Knutti, R. (2007) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2007.2076 · Cited by 1,862 · see citing works
Quantification of modelling uncertainties in a large ensemble of climate change simulations.
Murphy, J. M., Sexton, D. M. H., Barnett, D. N., Jones, G. S., Webb, M. J., Collins, M., & Stainforth, D. A. (2004) · Nature · doi:10.1038/nature02771 · Cited by 1,655 · see citing works
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Riahi, K., van Vuuren, D. P., Kriegler, E., Edmonds, J., O’Neill, B. C., Fujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., et al. (2017) · Global Environmental Change · doi:10.1016/j.gloenvcha.2016.05.009 · Cited by 6,607 · see citing works
The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6
O'Neill, B. C., Tebaldi, C., van Vuuren, D. P., Eyring, V., Friedlingstein, P., Hurtt, G., Knutti, R., Kriegler, E., Lamarque, J.-F., Lowe, J., et al. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-3461-2016 · Cited by 5,241 · see citing works
“The climate model output from ScenarioMIP experiments described in this paper will be distributed through the Earth System Grid Federation (ESGF) with DOIs assigned. in CMIP5, the model output will be freely accessible through data portals after registration.”
InfluentialParis Agreement climate proposals need a boost to keep warming well below 2 °C
Rogelj, J., den Elzen, M., Höhne, N., Fransen, T., Fekete, H., Winkler, H., Schaeffer, R., Sha, F., Riahi, K., & Meinshausen, M. (2016) · Nature · doi:10.1038/nature18307 · Cited by 3,480 · see citing works
Self-citationThe shared socio-economic pathway (SSP) greenhouse gas concentrations and their extensions to 2500
Meinshausen, M., Nicholls, Z. R. J., Lewis, J., Gidden, M. J., Vogel, E., Freund, M., Beyerle, U., Gessner, C., Nauels, A., Bauer, N., et al. (2020) · Geoscientific Model Development · doi:10.5194/gmd-13-3571-2020 · Cited by 1,815 · see citing works
Self-citationRobustness and uncertainties in the new CMIP5 climate model projections
Knutti, R., & Sedláček, J. (2013) · Nature Climate Change · doi:10.1038/nclimate1716 · Cited by 1,569 · see citing works
Negative emissions—Part 2: Costs, potentials and side effects
Fuss, S., Lamb, W. F., Callaghan, M. W., Hilaire, J., Creutzig, F., Amann, T., Beringer, T., de Oliveira Garcia, W., Hartmann, J., Khanna, T., et al. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aabf9f · Cited by 1,525 · see citing works
Scenarios towards limiting global mean temperature increase below 1.5 °C
Rogelj, J., Popp, A., Calvin, K. V., Luderer, G., Emmerling, J., Gernaat, D., Fujimori, S., Strefler, J., Hasegawa, T., Marangoni, G., et al. (2018) · Nature Climate Change · doi:10.1038/s41558-018-0091-3 · Cited by 1,341 · see citing works
Estimating economic damage from climate change in the United States
Hsiang, S., Kopp, R., Jina, A., Rising, J., Delgado, M., Mohan, S., Rasmussen, D. J., Muir-Wood, R., Wilson, P., Oppenheimer, M., et al. (2017) · Science · doi:10.1126/science.aal4369 · Cited by 1,239 · see citing works
A roadmap for rapid decarbonization
Rockström, J., Gaffney, O., Rogelj, J., Meinshausen, M., Nakicenovic, N., & Schellnhuber, H. J. (2017) · Science · doi:10.1126/science.aah3443 · Cited by 1,225 · see citing works
Self-citationGrubler, A., Wilson, C., Bento, N., Boza-Kiss, B., Krey, V., McCollum, D. L., Rao, N. D., Riahi, K., Rogelj, J., De Stercke, S., et al. (2018) · Nature Energy · doi:10.1038/s41560-018-0172-6 · Cited by 1,178 · see citing works
Energy system transformations for limiting end-of-century warming to below 1.5 °C
Rogelj, J., Luderer, G., Pietzcker, R. C., Kriegler, E., Schaeffer, M., Krey, V., & Riahi, K. (2015) · Nature Climate Change · doi:10.1038/nclimate2572 · Cited by 875 · see citing works
Fossil-fueled development (SSP5): An energy and resource intensive scenario for the 21st century
Kriegler, E., Bauer, N., Popp, A., Humpenöder, F., Leimbach, M., Strefler, J., Baumstark, L., Bodirsky, B. L., Hilaire, J., Klein, D., et al. (2017) · Global Environmental Change · doi:10.1016/j.gloenvcha.2016.05.015 · Cited by 735 · see citing works
Residual fossil CO2 emissions in 1.5–2 °C pathways
Luderer, G., Vrontisi, Z., Bertram, C., Edelenbosch, O. Y., Pietzcker, R. C., Rogelj, J., De Boer, H. S., Drouet, L., Emmerling, J., Fricko, O., et al. (2018) · Nature Climate Change · doi:10.1038/s41558-018-0198-6 · Cited by 575 · see citing works
Global blue carbon accumulation in tidal wetlands increases with climate change
Wang, F., Sanders, C. J., Santos, I. R., Tang, J., Schuerch, M., Kirwan, M. L., Kopp, R. E., Zhu, K., Li, X., Yuan, J., et al. (2021) · National Science Review · doi:10.1093/nsr/nwaa296 · Cited by 408 · see citing works
Geoffroy, O., Saint-Martin, D., Olivié, D. J. L., Voldoire, A., Bellon, G., & Tytéca, S. (2013) · Journal of Climate · doi:10.1175/jcli-d-12-00195.1 · Cited by 381 · see citing works
Why the right climate target was agreed in Paris
Schellnhuber, H. J., Rahmstorf, S., & Winkelmann, R. (2016) · Nature Climate Change · doi:10.1038/nclimate3013 · Cited by 398 · see citing works
Zero emission targets as long-term global goals for climate protection
Rogelj, J., Schaeffer, M., Meinshausen, M., Knutti, R., Alcamo, J., Riahi, K., & Hare, W. (2015) · Environmental Research Letters · doi:10.1088/1748-9326/10/10/105007 · Cited by 361 · see citing works
Self-citationRiahi, K., Kriegler, E., Johnson, N., Bertram, C., den Elzen, M., Eom, J., Schaeffer, M., Edmonds, J., Isaac, M., Krey, V., et al. (2015) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2013.09.016 · Cited by 360 · see citing works
Land-use emissions play a critical role in land-based mitigation for Paris climate targets
Harper, A. B., Powell, T., Cox, P. M., House, J., Huntingford, C., Lenton, T. M., Sitch, S., Burke, E., Chadburn, S. E., Collins, W. J., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05340-z · Cited by 335 · see citing works
Forster, P. M., Smith, C. J., Walsh, T., Lamb, W. F., Lamboll, R., Hauser, M., Ribes, A., Rosen, D., Gillett, N., Palmer, M. D., et al. (2023) · Earth System Science Data · doi:10.5194/essd-15-2295-2023 · Cited by 366 · see citing works
Probabilistic cost estimates for climate change mitigation
Rogelj, J., McCollum, D. L., Reisinger, A., Meinshausen, M., & Riahi, K. (2013) · Nature · doi:10.1038/nature11787 · Cited by 322 · see citing works
Self-citationThe PRIMAP-hist national historical emissions time series
Gütschow, J., Jeffery, M. L., Gieseke, R., Gebel, R., Stevens, D., Krapp, M., & Rocha, M. (2016) · Earth System Science Data · doi:10.5194/essd-8-571-2016 · Cited by 297 · see citing works
“This approach is explained in Miguez and Filho (2000) and has been quantified in Höhne et al.”
BackgroundMethodDifferences between carbon budget estimates unravelled
Rogelj, J., Schaeffer, M., Friedlingstein, P., Gillett, N. P., van Vuuren, D. P., Riahi, K., Allen, M., & Knutti, R. (2016) · Nature Climate Change · doi:10.1038/nclimate2868 · Cited by 288 · see citing works
Global exposure and vulnerability to multi-sector development and climate change hotspots
Byers, E., Gidden, M., Leclère, D., Balkovic, J., Burek, P., Ebi, K., Greve, P., Grey, D., Havlik, P., Hillers, A., et al. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aabf45 · Cited by 295 · see citing works
Holmes, C. D., Prather, M. J., Søvde, O. A., & Myhre, G. (2013) · Atmospheric chemistry and physics · doi:10.5194/acp-13-285-2013 · Cited by 232 · see citing works
Economic mitigation challenges: how further delay closes the door for achieving climate targets
Luderer, G., Pietzcker, R. C., Bertram, C., Kriegler, E., Meinshausen, M., & Edenhofer, O. (2013) · Environmental Research Letters · doi:10.1088/1748-9326/8/3/034033 · Cited by 230 · see citing works
Self-citationKriegler, E., Riahi, K., Bauer, N., Schwanitz, V. J., Petermann, N., Bosetti, V., Marcucci, A., Otto, S., Paroussos, L., Rao, S., et al. (2015) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2013.09.021 · Cited by 181 · see citing works
2020 emissions levels required to limit warming to below 2 °C
Rogelj, J., McCollum, D. L., O’Neill, B. C., & Riahi, K. (2013) · Nature Climate Change · doi:10.1038/nclimate1758 · Cited by 176 · see citing works
A temporary, moderate and responsive scenario for solar geoengineering
Keith, D. W., & MacMartin, D. G. (2015) · Nature Climate Change · doi:10.1038/nclimate2493 · Cited by 148 · see citing works
Lomborg, B. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.119981 · Cited by 134 · see citing works
Marcucci, A., Kypreos, S., & Panos, E. (2017) · Climatic Change · doi:10.1007/s10584-017-2051-8 · Cited by 133 · see citing works
Understanding the origin of Paris Agreement emission uncertainties
Rogelj, J., Fricko, O., Meinshausen, M., Krey, V., Zilliacus, J. J. J., & Riahi, K. (2017) · Nature Communications · doi:10.1038/ncomms15748 · Cited by 130 · see citing works
Self-citationThe legacy of our CO2 emissions: a clash of scientific facts, politics and ethics
Knutti, R., & Rogelj, J. (2015) · Climatic Change · doi:10.1007/s10584-015-1340-3 · Cited by 121 · see citing works
The contribution of Paris to limit global warming to 2 °C
Iyer, G. C., Edmonds, J. A., Fawcett, A. A., Hultman, N. E., Alsalam, J., Asrar, G. R., Calvin, K. V., Clarke, L. E., Creason, J., Jeong, M., et al. (2015) · Environmental Research Letters · doi:10.1088/1748-9326/10/12/125002 · Cited by 90 · see citing works
Vrontisi, Z., Luderer, G., Saveyn, B., Keramidas, K., Lara, A. R., Baumstark, L., Bertram, C., de Boer, H. S., Drouet, L., Fragkiadakis, K., et al. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aab53e · Cited by 79 · see citing works
Constraints on global temperature target overshoot
Ricke, K. L., Millar, R. J., & MacMartin, D. G. (2017) · Scientific Reports · doi:10.1038/s41598-017-14503-9 · Cited by 63 · see citing works
1.5°C Hotspots: Climate Hazards, Vulnerabilities, and Impacts
Schleussner, C.-F., Deryng, D., D'haen, S., Hare, W., Lissner, T., Ly, M., Nauels, A., Noblet, M., Pfleiderer, P., Pringle, P., et al. (2018) · Annual Review of Environment and Resources · doi:10.1146/annurev-environ-102017-025835 · Cited by 45 · see citing works
Risk to rely on soil carbon sequestration to offset global ruminant emissions
Wang, Y., de Boer, I. J. M., Persson, U. M., Ripoll-Bosch, R., Cederberg, C., Gerber, P. J., Smith, P., & van Middelaar, C. E. (2023) · Nature Communications · doi:10.1038/s41467-023-43452-3 · Cited by 39 · see citing works
The role of carbon capture and storage electricity in attaining 1.5 and 2 °C
Vinca, A., Rottoli, M., Marangoni, G., & Tavoni, M. (2018) · International Journal of Greenhouse Gas Control · doi:10.1016/j.ijggc.2018.07.020 · Cited by 33 · see citing works
“In order to have a more reliable estimate of the resulting temperature pathways, we take advantage of the soft link between WITCH and the MAGICC climate model (Meinshausen et al., 2011).”
MethodKhodayari, A., Wuebbles, D. J., Olsen, S. C., Fuglestvedt, J. S., Berntsen, T., Lund, M. T., Waitz, I., Wolfe, P., Forster, P. M., Meinshausen, M., et al. (2013) · Atmospheric Environment · doi:10.1016/j.atmosenv.2013.03.055 · Cited by 11 · see citing works
- Authors
- Meinshausen, M., Raper, S. C. B., & Wigley, T. M. L.
- Affiliations
- Potsdam Institute for Climate Impact Research (DE)
- Manchester Metropolitan University (GB)
- NSF National Center for Atmospheric Research (US)
- Venue
- Atmospheric Chemistry and Physics
- Publisher
- Copernicus GmbH
- Published
- 2011-02-16
- Volume
- 11
- Issue
- 4
- Pages
- 1417-1456
- ISSN
- 1680-7316 (ISSN-L)
- 1680-7324
- OpenAlex
- W2017900025
- Cited by
- 876
- References
- 3
- Citations by year
- 2026: 49 · 2025: 55 · 2024: 56 · 2023: 67 · 2022: 71 · 2021: 92 · 2020: 44 · 2019: 50 · 2018: 72 · 2017: 42 · 2016: 56 · 2015: 47 · 2014: 40 · 2013: 48 · 2012: 35
- FWCI
- 40.84
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Atmospheric chemistry and physics (publishedVersion, cc-by)
- HAL (submittedVersion, other-oa)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- RENATE (submittedVersion, cc-by-nc-nd)
- Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK)) (submittedVersion, other-oa)
- RENATE (cc-by)
- Funders
- U.S. Department of Energy
- Office of Science
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate Change and Geoengineering
- Keywords
- simple climate models, model emulation, model calibration, CMIP3, C4MIP, effective climate sensitivity, carbon cycle feedbacks, aerosol radiative forcing, ocean heat uptake, radiative forcing, CO2 doubling
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