Data used in the figures of the paper "The Scenario Model Intercomparison Project for CMIP7 (ScenarioMIP-CMIP7) " by van Vuuren et al (2026)
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Sanderson, Benjamin1
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Sandstad, Marit1
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Smith, Chris2
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Kikstra, Jarmo2, 3
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Bauer, Nico4
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Chini, Louise
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Eyring, Veronika5
- Fall, Cheikh6
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Friedlingstein, Pierre7
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Frieler, Katja4
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Gidden, Matthew8
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Gohar, Laila9
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Govindasamy, Bala
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Hasegawa, Tomoko
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Högner, Annika2
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Jones, Andrew
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King, Andrew10
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Knutti, Reto
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Kriegler, Elmar11, 4
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Lawrence, Peter12
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Lennard, Chris13
- Lowe, Jason9
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Mathison, Camilla14, 9
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Mehmood, Shahbaz15
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Nicholls, Zebedee16, 2, 17
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O'Neill, Brian18
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Panickal, Swapna19
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Prado, Luciana20
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Riahi, Keywan2
- Rose, Steven21
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Ruane, Alex22
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Schleussner, Carl-Friedrich23, 24, 2
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Séférian, Roland25
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Sillmann, Jana26, 27
- Sörensson, Anna28
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Tachiiri, Kaoru29
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Tebaldi, Claudia8
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van Vuuren, Detlef30, 31
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Vaughan, Naomi32
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Vishwanathan, Saritha33
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Yokohata, Tokuta34
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Zecchetto, Marco2
- Zhang, Qiang35
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Ziehn, Tilo36
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1.
CICERO Center for International Climate Research
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2.
International Institute for Applied Systems Analysis
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3.
Imperial College London
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4.
Potsdam Institute for Climate Impact Research
- 5. Deutsches Zentrum für Luft- und Raumfahrt DLR
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6.
Cheikh Anta Diop University
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7.
University of Exeter
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8.
Joint Global Change Research Institute
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9.
Met Office
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10.
The University of Melbourne
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11.
University of Potsdam
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12.
NSF National Center for Atmospheric Research
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13.
University of Cape Town
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14.
University of Leeds
- 15. Global Change Impact Studies Centre
- 16. Climate Resource S GmbH
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17.
Climate Resource (Australia)
- 18. PNNL
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19.
Indian Institute of Tropical Meteorology
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20.
Universidade do Estado do Rio de Janeiro
- 21. Energy Systems and Climate Analysis Research
- 22. National Aeronautics and Space Administration Goddard Institute for Space Studies
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23.
Humboldt-Universität zu Berlin
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24.
Climate Analytics
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25.
Centre National de Recherches Météorologiques
- 26. CICERO
- 27. University of Hamburg
- 28. Universidad de Buenos Aires
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29.
Japan Agency for Marine-Earth Science and Technology
- 30. PBL Netherlands Environmental Assessment Agency
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31.
Utrecht University
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32.
University of East Anglia
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33.
Kyoto University
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34.
National Institute for Environmental Studies
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35.
Tsinghua University
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36.
Commonwealth Scientific and Industrial Research Organisation
Description
Archival release of scenariomip-paper-plots, the code used to produce the FaIR v2.2 climate simulations and figures.
DATA ARE INDICATIVE AND FOR ILLUSTRATIVE PURPOSES ONLY. Please use the final projections of the ScenarioMIP pathways for CMIP7 in your research here:
https://scenariomip.apps.ece.iiasa.ac.at
What this release contains
- A reproducible pipeline that runs FaIR v2.2 over 1750–2501 across the seven ScenarioMIP-CMIP7 emissions pathways (VL, LN, L, ML, M, H, HL), spanning very low to very high / high-legacy emissions futures.
- A single-source plotting module (
scripts/plotting.py) used by both a headless CLI (scripts/make_plots.py) and an interactive Jupyter notebook (notebooks/0505_extensions_plotting.ipynb) to regenerate every figure in the paper. - Input emissions/forcing data version-controlled in
data/; AR6 FaIR calibration parameters fetched from Zenodo at runtime; cached ensemble output written todata/fair-outputs/fair_run.nc.
Scientific context
ScenarioMIP-CMIP7 defines a set of emissions-driven scenarios spanning high-end, current-policy, and Paris-aligned futures, including pathways that peak and decline in greenhouse gas concentrations during the 21st century. The simulations archived here illustrate the climate response of these scenarios in a reduced-complexity model (FaIR v2.2 with the AR6 calibrated ensemble) and underpin the figures in the companion GMD paper.
Reproducing the figures
git clone https://github.com/benmsanderson/scenariomip-paper-plots
cd scenariomip-paper-plots
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt
python scripts/make_plots.py # writes all figures to plots/
Requires Python 3.10+. See the README for the notebook workflow and a memory-limited 5-member test ensemble.
Citation
If you use this code, please cite both the paper and this Zenodo archive.
Paper:
Van Vuuren, D. P., O'Neill, B. C., Tebaldi, C., Sanderson, B. M., Chini, L. P., Friedlingstein, P., Hasegawa, T., Riahi, K., Govindasamy, B., Bauer, N., Eyring, V., Fall, C. M. N., Frieler, K., Gidden, M. J., Gohar, L. K., Högner, A., Jones, A. D., Kikstra, J., King, A., Knutti, R., Kriegler, E., Lawrence, P., Lennard, C., Lowe, J., Mathison, C., Mehmood, S., Nicholls, Z., Prado, L. F., Zhang, Q., Rose, S. K., Ruane, A. C., Sandstad, M., Schleussner, C.-F., Seferian, R., Sillmann, J., Smith, C., Sörensson, A. A., Panickal, S., Tachiiri, K., Vaughan, N., Vishwanathan, S. S., Yokohata, T., Zecchetto, M., and Ziehn, T.: The Scenario Model Intercomparison Project for CMIP7 (ScenarioMIP-CMIP7), Geosci. Model Dev., 19, 2627–2656, https://doi.org/10.5194/gmd-19-2627-2026, 2026.
Archive:
Sanderson, B. M., Sandstad, M., Smith, C., Kikstra, J., Bauer, N., Chini, L. P., Eyring, V., Fall, C. M. N., Friedlingstein, P., Frieler, K., Gidden, M. J., Gohar, L. K., Govindasamy, B., Hasegawa, T., Högner, A., Jones, A. D., King, A., Knutti, R., Kriegler, E., Lawrence, P., Lennard, C., Lowe, J., Mathison, C., Mehmood, S., Nicholls, Z., O'Neill, B. C., Panickal, S., Prado, L. F., Riahi, K., Rose, S. K., Ruane, A. C., Schleussner, C.-F., Seferian, R., Sillmann, J., Sörensson, A. A., Tachiiri, K., Tebaldi, C., Van Vuuren, D. P., Vaughan, N., Vishwanathan, S. S., Yokohata, T., Zecchetto, M., Zhang, Q., and Ziehn, T.: Data used in the figures of the paper "The Scenario Model Intercomparison Project for CMIP7 (ScenarioMIP-CMIP7) " by van Vuuren et al (2026), Zenodo, https://zenodo.org/doi/10.5281/zenodo.20713982, 2026.
License
Released under the MIT License — see LICENSE in the repository.
Notes
Files
chrisroadmap/cmip7-scenariomip-1.1.1.zip
Files
(37.3 MB)
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Additional details
Related works
- Is supplement to
- Software: https://github.com/chrisroadmap/cmip7-scenariomip/tree/1.1.1 (URL)
Software
- Repository URL
- https://github.com/chrisroadmap/cmip7-scenariomip