The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Observational Constraints on Past Attributable Warming and Predictions of Future Global Warming
Open accessAbstract
This paper investigates the impact of aerosol forcing uncertainty on the robustness of estimates of the twentieth-century warming attributable to anthropogenic greenhouse gas emissions. Attribution analyses on three coupled climate models with very different sensitivities and aerosol forcing are carried out. The Third Hadley Centre Coupled Ocean–Atmosphere GCM (HadCM3), Parallel Climate Model (PCM), and GFDL R30 models all provide good simulations of twentieth-century global mean temperature changes when they include both anthropogenic and natural forcings. Such good agreement could result from a fortuitous cancellation of errors, for example, by balancing too much (or too little) greenhouse warming by too much (or too little) aerosol cooling. Despite a very large uncertainty for estimates of the possible range of sulfate aerosol forcing obtained from measurement campaigns, results show that the spatial and temporal nature of observed twentieth-century temperature change constrains the component of past warming attributable to anthropogenic greenhouse gases to be significantly greater (at the 5% level) than the observed warming over the twentieth century. The cooling effects of aerosols are detected in all three models. Both spatial and temporal aspects of observed temperature change are responsible for constraining the relative roles of greenhouse warming and sulfate cooling over the twentieth century. This is because there are distinctive temporal structures in differential warming rates between the hemispheres, between land and ocean, and between mid- and low latitudes. As a result, consistent estimates of warming attributable to greenhouse gas emissions are obtained from all three models, and predictions are relatively robust to the use of more or less sensitive models. The transient climate response following a 1% yr−1 increase in CO2 is estimated to lie between 2.2 and 4 K century−1 (5–95 percentiles).
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Cites
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
Probabilistic climate change projections using neural networks
Knutti, R., Stocker, T. F., Joos, F., & Plattner, G.-K. (2003) · Climate Dynamics · doi:10.1007/s00382-003-0345-1 · Cited by 197
Cited by
Eyring, V., Bony, S., Meehl, G. A., Senior, C. A., Stevens, B., Stouffer, R. J., & Taylor, K. E. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-1937-2016 · Cited by 11,981
Self-citationChallenges in combining projections from multiple climate models.
Knutti, R., Furrer, R., Tebaldi, C., Cermak, J., & Meehl, G. A. (2010) · Journal of Climate · doi:10.1175/2009jcli3361.1 · Cited by 1,270
Self-citationAnthropogenic greenhouse gas contribution to flood risk in England and Wales in autumn 2000
Pall, P., Aina, T., Stone, D. A., Stott, P. A., Nozawa, T., Hilberts, A. G. J., Lohmann, D., & Allen, M. R. (2011) · Nature · doi:10.1038/nature09762 · Cited by 871
Self-citationClimate response to regional radiative forcing during the twentieth century
Shindell, D., & Faluvegi, G. (2009) · Nature Geoscience · doi:10.1038/ngeo473 · Cited by 654
The Detection and Attribution Model Intercomparison Project (DAMIP v1.0) contribution to CMIP6
Gillett, N. P., Shiogama, H., Funke, B., Hegerl, G., Knutti, R., Matthes, K., Santer, B. D., Stone, D., & Tebaldi, C. (2016) · Geoscientific Model Development · doi:10.5194/gmd-9-3685-2016 · Cited by 597
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Metadata
- Authors
- Stott, P. A., Mitchell, J. F. B., Allen, M. R., Delworth, T. L., Gregory, J. M., Meehl, G. A., & Santer, B. D.
- Venue
- Journal of Climate
- Publisher
- American Meteorological Society
- Published
- 2006-07-01
- Volume
- 19
- Issue
- 13
- Pages
- 3055-3069
- ISSN
- 0894-8755 (ISSN-L)
- 1520-0442
- OpenAlex
- W2097331168
- Cited by
- 183
- References
- 2
- FWCI
- 15.52
- Type
- journal article
- Language
- en
- Open access
- bronze
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