Pattern scaling: Its strengths and limitations, and an update on the latest model simulations
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A workshop concluded that pattern scaling has currently not yet been demonstrated to be able to reliably replace the need for climate model projections to generate information for impact studies.
“A workshop held for this purpose concluded that pattern scaling has currently not yet been demonstrated to be able to reli-ably replace the need for climate model projections to generate information for impact studies”
From The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6 (2016) · cites this paper as Tebaldi and Arblaster, 2014
Climate model emulators have the potential to provide a computationally efficient means of generating climate outcomes for arbitrary scenarios and, in so doing, facilitate the representation of uncertainty in applications to impact studies.
“Climate model emulators have the potential to provide a computationally efficient means of generating climate outcomes for arbitrary scenarios and, in so doing, facilitate the representation of uncertainty in applications to impact studies (Tebaldi and Arblaster, 2014).”
From The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6 (2016) · cites this paper as Tebaldi and Arblaster, 2014
Cites
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 · see citing works
Irreversible climate change due to carbon dioxide emissions
Solomon, S., Plattner, G.-K., Knutti, R., & Friedlingstein, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812721106 · Cited by 3,217 · 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
Self-citationClimate model genealogy: Generation CMIP5 and how we got there
Knutti, R., Masson, D., & Gettelman, A. (2013) · Geophysical Research Letters · doi:10.1002/grl.50256 · Cited by 918 · see citing works
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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
“Climate model emulators have the potential to provide a computationally efficient means of generating climate outcomes for arbitrary scenarios and, in so doing, facilitate the representation of uncertainty in applications to impact studies (Tebaldi and Arblaster, 2014).”
Self-citationStoryline approach to the construction of regional climate change information
Shepherd, T. G. (2019) · Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rspa.2019.0013 · Cited by 331 · see citing works
Modelling complex systems of heterogeneous agents to better design sustainability transitions policy
Mercure, J.-F., Pollitt, H., Bassi, A. M., Viñuales, J. E., & Edwards, N. R. (2016) · Global Environmental Change · doi:10.1016/j.gloenvcha.2016.02.003 · Cited by 204 · see citing works
Evaluating the use of biomass energy with carbon capture and storage in low emission scenarios
Vaughan, N. E., Gough, C., Mander, S., Littleton, E. W., Welfle, A., Gernaat, D. E. H. J., & van Vuuren, D. P. (2018) · Environmental Research Letters · doi:10.1088/1748-9326/aaaa02 · Cited by 114 · see citing works
Climate–carbon cycle uncertainties and the Paris Agreement
Holden, P. B., Edwards, N. R., Ridgwell, A., Wilkinson, R. D., Fraedrich, K., Lunkeit, F., Pollitt, H., Mercure, J.-F., Salas, P., Lam, A., et al. (2018) · Nature Climate Change · doi:10.1038/s41558-018-0197-7 · Cited by 88 · see citing works
Are general circulation models obsolete?
Balaji, V., Couvreux, F., Deshayes, J., Gautrais, J., Hourdin, F., & Rio, C. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2202075119 · Cited by 84 · 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
- Authors
- Tebaldi, C., & Arblaster, J. M.
- Affiliations
- NSF National Center for Atmospheric Research (US)
- Corresponding author
- Tebaldi, Claudia
- Venue
- Climatic Change
- Published
- 2014-01-08
- Volume
- 122
- Issue
- 3
- Pages
- 459-471
- ISSN
- 0165-0009 (ISSN-L)
- 1573-1480
- OpenAlex
- W2032067579
- Cited by
- 274
- References
- 4
- Citations by year
- 2026: 20 · 2025: 24 · 2024: 20 · 2023: 29 · 2022: 26 · 2021: 25 · 2020: 21 · 2019: 14 · 2018: 25 · 2017: 26 · 2016: 22 · 2015: 16 · 2014: 5 · 2013: 1
- FWCI
- 18.98
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Climatic Change (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate Change and Environmental Impact
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Keywords
- pattern scaling, climate impact assessment, integrated assessment models, CMIP5, CMIP3, multi-model mean, model variability, greenhouse gas forcing
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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