The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Climate model genealogy
Open accessAbstract
Climate change projections are often given as equally weighted averages across ensembles of climate models, despite the fact that the sampling of the underlying ensembles is unclear. We show that a hierarchical clustering of a metric of spatial and temporal variations of either surface temperature or precipitation in control simulations can capture many model relationships across different ensembles. Strong similarities are seen between models developed at the same institution, between models sharing versions of the same atmospheric component, and between successive versions of the same model. A perturbed parameter ensemble of a model appears separate from other structurally different models. The results provide insight into intermodel relationships, into how models evolve through successive generations, and suggest that assuming model independence in such ensembles of opportunity is not justified.
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Cites
THE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research
Meehl, G. A., Covey, C., Delworth, T., Latif, M., McAvaney, B., Mitchell, J. F. B., Stouffer, R. J., & Taylor, K. E. (2007) · Bulletin of the American Meteorological Society · doi:10.1175/bams-88-9-1383 · Cited by 2,826
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-citationArctic sea ice decline: Faster than forecast
Stroeve, J., Holland, M. M., Meier, W., Scambos, T., & Serreze, M. (2007) · Geophysical Research Letters · doi:10.1029/2007gl029703 · Cited by 1,857
Challenges 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-citationUncertainty in predictions of the climate response to rising levels of greenhouse gases
Stainforth, D. A., Aina, T., Christensen, C., Collins, M., Faull, N., Frame, D. J., Kettleborough, J. A., Knight, S., Martin, A., Murphy, J. M., et al. (2005) · Nature · doi:10.1038/nature03301 · Cited by 1,166
A vast machine: computer models, climate data, and the politics of global warming
(2010) · Choice Reviews Online · doi:10.5860/choice.48-0879 · Cited by 1,087
A vast machine: Computer models, climate data, and the politics of global warming
(2015) · Canadian Geographies / Géographies canadiennes · doi:10.1111/cag.12157 · Cited by 829
Tebaldi, C., Smith, R. L., Nychka, D., & Mearns, L. O. (2005) · Journal of Climate · doi:10.1175/jcli3363.1 · Cited by 606
The Gap between Simulation and Understanding in Climate Modeling
Held, I. M. (2005) · Bulletin of the American Meteorological Society · doi:10.1175/bams-86-11-1609 · Cited by 538
The end of model democracy?: An editorial comment
Knutti, R. (2010) · Climatic Change · doi:10.1007/s10584-010-9800-2 · Cited by 499
Self-citation
Cited by
Robustness 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-citationKwiatkowski, L., Torres, O., Bopp, L., Aumont, O., Chamberlain, M., Christian, J. R., Dunne, J. P., Gehlen, M., Ilyina, T., John, J. G., et al. (2020) · Biogeosciences · doi:10.5194/bg-17-3439-2020 · Cited by 897
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-citationHigh-resolution (1 km) Köppen-Geiger maps for 1901–2099 based on constrained CMIP6 projections
Beck, H. E., McVicar, T. R., Vergopolan, N., Berg, A., Lutsko, N. J., Dufour, A., Zeng, Z., Jiang, X., van Dijk, A. I. J. M., & Miralles, D. G. (2023) · Scientific Data · doi:10.1038/s41597-023-02549-6 · Cited by 917
The Asian summer monsoon: an intercomparison of CMIP5 vs. CMIP3 simulations of the late 20th century
Sperber, K. R., Annamalai, H., Kang, I.-S., Kitoh, A., Moise, A., Turner, A., Wang, B., & Zhou, T. (2013) · Climate Dynamics · doi:10.1007/s00382-012-1607-6 · Cited by 800
Metadata
- Authors
- Masson, D., & Knutti, R.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2011-04-23
- Volume
- 38
- Issue
- 8
- Pages
- n/a-n/a
- ISSN
- 0094-8276 (ISSN-L)
- OpenAlex
- W1681521146
- Cited by
- 345
- References
- 24
- FWCI
- 24.26
- Type
- journal article
- Language
- en
- Open access
- green
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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.
