The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Beyond equilibrium climate sensitivity
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Citations
Cites
Paris 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 3,637
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
Self-citationRadiative forcing and climate response
Hansen, J., Sato, M., & Ruedy, R. (1997) · Journal of Geophysical Research: Atmospheres · doi:10.1029/96jd03436 · Cited by 2,241
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
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
Self-citationEvaluation of climate models using palaeoclimatic data
Braconnot, P., Harrison, S. P., Kageyama, M., Bartlein, P. J., Masson-Delmotte, V., Abe-Ouchi, A., Otto-Bliesner, B., & Zhao, Y. (2012) · Nature Climate Change · doi:10.1038/nclimate1456 · Cited by 1,013
Climate 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
Self-citationPersistent growth of CO2 emissions and implications for reaching climate targets
Friedlingstein, P., Andrew, R. M., Rogelj, J., Peters, G. P., Canadell, J. G., Knutti, R., Luderer, G., Raupach, M. R., Schaeffer, M., van Vuuren, D. P., et al. (2014) · Nature Geoscience · doi:10.1038/ngeo2248 · Cited by 771
Self-citationClimate sensitivity, sea level and atmospheric carbon dioxide
Hansen, J., Sato, M., Russell, G., & Kharecha, P. (2013) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2012.0294 · Cited by 660
Risks of Model Weighting in Multimodel Climate Projections
Weigel, A. P., Knutti, R., Liniger, M. A., & Appenzeller, C. (2010) · Journal of Climate · doi:10.1175/2010jcli3594.1 · Cited by 386
Self-citation
Cited by
An Assessment of Earth's Climate Sensitivity Using Multiple Lines of Evidence
Sherwood, S. C., Webb, M. J., Annan, J. D., Armour, K. C., Forster, P. M., Hargreaves, J. C., Hegerl, G., Klein, S. A., Marvel, K. D., Rohling, E. J., et al. (2020) · Reviews of Geophysics · doi:10.1029/2019rg000678 · Cited by 1,254
Self-citationBounding Global Aerosol Radiative Forcing of Climate Change
Bellouin, N., Quaas, J., Gryspeerdt, E., Kinne, S., Stier, P., Watson‐Parris, D., Boucher, O., Carslaw, K. S., Christensen, M., Daniau, A. ‐., et al. (2020) · Reviews of Geophysics · doi:10.1029/2019rg000660 · Cited by 1,116
“For multiple reasons, including lack of knowledge of λ and the long response time100 –2– of Ts to RF (Schwartz, 2012; Forster, 2016; Knutti et al., 2017), it has become custom-101 ary to compare the strengths of different perturbations by their RFs rather than by the102 changes in Ts that…”
BackgroundSelf-citationMeehl, G. A., Senior, C. A., Eyring, V., Flato, G., Lamarque, J.-F., Stouffer, R. J., Taylor, K. E., & Schlund, M. (2020) · Science Advances · doi:10.1126/sciadv.aba1981 · Cited by 823
Towards neural Earth system modelling by integrating artificial intelligence in Earth system science
Irrgang, C., Boers, N., Sonnewald, M., Barnes, E. A., Kadow, C., Staneva, J., & Saynisch-Wagner, J. (2021) · Nature Machine Intelligence · doi:10.1038/s42256-021-00374-3 · Cited by 308
Emergent constraints on equilibrium climate sensitivity in CMIP5: do they hold for CMIP6?
Schlund, M., Lauer, A., Gentine, P., Sherwood, S. C., & Eyring, V. (2020) · Earth System Dynamics · doi:10.5194/esd-11-1233-2020 · Cited by 178
Metadata
- Authors
- Knutti, R., Rugenstein, M. A. A., & Hegerl, G. C.
- Venue
- Nature Geoscience
- Published
- 2017-09-04
- Volume
- 10
- Issue
- 10
- Pages
- 727-736
- ISSN
- 1752-0894 (ISSN-L)
- 1752-0908
- OpenAlex
- W2751847990
- Cited by
- 333
- References
- 15
- FWCI
- 20.73
- Type
- journal article
- Language
- en
- Open access
- green
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- Knutti, R., Rugenstein, M. A. A., & Hegerl, G. C. (2017). Beyond equilibrium climate sensitivity. Nature Geoscience. https://doi.org/10.1038/ngeo3017
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
