The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Robust spatially aggregated projections of climate extremes
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Citations
Cites
The Community Climate System Model Version 4
Gent, P. R., Danabasoglu, G., Donner, L. J., Holland, M. M., Hunke, E. C., Jayne, S. R., Lawrence, D. M., Neale, R. B., Rasch, P. J., Vertenstein, M., et al. (2011) · Journal of Climate · doi:10.1175/2011jcli4083.1 · Cited by 3,133
The potential to narrow uncertainty in regional climate predictions.
Hawkins, E., & Sutton, R. (2009) · Bulletin of the American Meteorological Society · doi:10.1175/2009bams2607.1 · Cited by 2,732
Indices for monitoring changes in extremes based on daily temperature and precipitation data
Zhang, X., Alexander, L., Hegerl, G. C., Jones, P., Tank, A. K., Peterson, T. C., Trewin, B., & Zwiers, F. W. (2011) · WIREs Climate Change · doi:10.1002/wcc.147 · Cited by 2,250
Human contribution to more-intense precipitation extremes
Min, S.-K., Zhang, X., Zwiers, F. W., & Hegerl, G. C. (2011) · Nature · doi:10.1038/nature09763 · Cited by 2,083
Uncertainty in climate change projections: the role of internal variability
Deser, C., Phillips, A., Bourdette, V., & Teng, H. (2012) · Climate Dynamics · doi:10.1007/s00382-010-0977-x · Cited by 1,739
Human contribution to the European heatwave of 2003
Stott, P. A., Stone, D. A., & Allen, M. R. (2004) · Nature · doi:10.1038/nature03089 · Cited by 1,735
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-citationClimate extremes indices in the CMIP5 multimodel ensemble: Part 2. Future climate projections
Sillmann, J., Kharin, V. V., Zwiers, F. W., Zhang, X., & Bronaugh, D. (2013) · Journal of Geophysical Research: Atmospheres · doi:10.1002/jgrd.50188 · Cited by 1,466
Hansen, J., Sato, M., & Ruedy, R. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1205276109 · Cited by 1,435
Cited by
More extreme precipitation in the world’s dry and wet regions
Donat, M. G., Lowry, A. L., Alexander, L. V., O’Gorman, P. A., & Maher, N. (2016) · Nature Climate Change · doi:10.1038/nclimate2941 · Cited by 1,792
Anthropogenic contribution to global occurrence of heavy-precipitation and high-temperature extremes
Fischer, E. M., & Knutti, R. (2015) · Nature Climate Change · doi:10.1038/nclimate2617 · Cited by 1,427
Self-citationUnderstanding the regional pattern of projected future changes in extreme precipitation
Pfahl, S., O’Gorman, P. A., & Fischer, E. M. (2017) · Nature Climate Change · doi:10.1038/nclimate3287 · Cited by 1,040
Self-citationTop ten European heatwaves since 1950 and their occurrence in the coming decades
Russo, S., Sillmann, J., & Fischer, E. M. (2015) · Environmental Research Letters · doi:10.1088/1748-9326/10/12/124003 · Cited by 757
Self-citationSchleussner, C.-F., Lissner, T. K., Fischer, E. M., Wohland, J., Perrette, M., Golly, A., Rogelj, J., Childers, K., Schewe, J., Frieler, K., et al. (2016) · Earth System Dynamics · doi:10.5194/esd-7-327-2016 · Cited by 680
Self-citation
Metadata
- Authors
- Fischer, E. M., Beyerle, U., & Knutti, R.
- Venue
- Nature Climate Change
- Published
- 2013-11-17
- Volume
- 3
- Issue
- 12
- Pages
- 1033-1038
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- OpenAlex
- W2162440908
- Cited by
- 567
- References
- 30
- FWCI
- 22.92
- Type
- journal article
- Language
- en
- Open access
- closed
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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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- CoChat. (2026). Citation check: Robust spatially aggregated projections of climate extremes. https://app.cochat.ai/papers/10.1038/nclimate2051
- The paper
- Fischer, E. M., Beyerle, U., & Knutti, R. (2013). Robust spatially aggregated projections of climate extremes. Nature Climate Change. https://doi.org/10.1038/nclimate2051
Data sources
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.
