The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
CMIP5 Climate Model Analyses: Climate Extremes in the United States
Open accessAbstract
Given the increases in spatial resolution and other improvements in climate modeling capabilities over the last decade since the CMIP3 simulations were completed, CMIP5 provides a unique opportunity to assess scientific understanding of climate variability and change over a range of historical and future conditions. With participation from over 20 modeling groups and more than 40 global models, CMIP5 represents the latest and most ambitious coordinated international climate model intercomparison exercise to date. Observations dating back to 1900 show that the temperatures in the twenty-first century have the largest spatial extent of record breaking and much above normal mean monthly maximum and minimum temperatures. The 20-yr return value of the annual maximum or minimum daily temperature is one measure of changes in rare temperature extremes.
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Self-citationThe representative concentration pathways: an overview
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Self-citationTHE WCRP CMIP3 Multimodel Dataset: A New Era in Climate Change Research
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Self-citationHuman contribution to more-intense precipitation extremes
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Prein, A. F., Rasmussen, R. M., Ikeda, K., Liu, C., Clark, M. P., & Holland, G. J. (2017) · Nature Climate Change · doi:10.1038/nclimate3168 · Cited by 987
Perkins, S. E. (2015) · Atmospheric Research · doi:10.1016/j.atmosres.2015.05.014 · Cited by 875
Walsh, J., Wuebbles, D., Hayhoe, K., Kossin, J., Kunkel, K., Stephens, G., Thorne, P., Vose, R., Wehner, M., Willis, J., et al. (2014) · doi:10.7930/j0kw5cxt · Cited by 423
Self-citationParticulate air pollution from wildfires in the Western US under climate change
Liu, J. C., Mickley, L. J., Sulprizio, M. P., Dominici, F., Yue, X., Ebisu, K., Anderson, G. B., Khan, R. F. A., Bravo, M. A., & Bell, M. L. (2016) · Climatic Change · doi:10.1007/s10584-016-1762-6 · Cited by 363
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Metadata
- Authors
- Wuebbles, D., Meehl, G., Hayhoe, K., Karl, T. R., Kunkel, K., Santer, B., Wehner, M., Colle, B., Fischer, E. M., Fu, R., Goodman, A., Janssen, E., Kharin, V., Lee, H., Li, W., Long, L. N., Olsen, S. C., Pan, Z., Seth, A., Sheffield, J., & Sun, L.
- Venue
- Bulletin of the American Meteorological Society
- Publisher
- American Meteorological Society
- Published
- 2014-04
- Volume
- 95
- Issue
- 4
- Pages
- 571-583
- ISSN
- 0003-0007 (ISSN-L)
- 1520-0477
- OpenAlex
- W2147349378
- Cited by
- 313
- References
- 42
- FWCI
- 19.89
- Type
- journal article
- Language
- en
- Open access
- green
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- Wuebbles, D., Meehl, G., Hayhoe, K., Karl, T. R., Kunkel, K., Santer, B., Wehner, M., Colle, B., Fischer, E. M., Fu, R., Goodman, A., Janssen, E., Kharin, V., Lee, H., Li, W., Long, L. N., Olsen, S. C., Pan, Z., Seth, A., . . . Sun, L. (2014). CMIP5 Climate Model Analyses: Climate Extremes in the United States. Bulletin of the American Meteorological Society. https://doi.org/10.1175/bams-d-12-00172.1
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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.
