The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Probable maximum precipitation and climate change
Abstract
Probable maximum precipitation (PMP) is the greatest accumulation of precipitation for a given duration meteorologically possible for an area. Climate change effects on PMP are analyzed, in particular, maximization of moisture and persistent upward motion, using both climate model simulations and conceptual models of relevant meteorological systems. Climate model simulations indicate a substantial future increase in mean and maximum water vapor concentrations. For the RCP8.5 scenario, the changes in maximum values for the continental United States are approximately 20%–30% by 2071–2100. The magnitudes of the maximum water vapor changes follow temperature changes with an approximate Clausius‐Clapeyron relationship. Model‐simulated changes in maximum vertical and horizontal winds are too small to offset water vapor changes. Thus, our conclusion is that the most scientifically sound projection is that PMP values will increase in the future due to higher levels of atmospheric moisture content and consequent higher levels of moisture transport into storms.
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Citations
Cites
The Changing Character of Precipitation
Trenberth, K. E., Dai, A., Rasmussen, R. M., & Parsons, D. B. (2003) · Bulletin of the American Meteorological Society · doi:10.1175/bams-84-9-1205 · Cited by 3,196
Tropical cyclones and climate change
Knutson, T. R., McBride, J. L., Chan, J., Emanuel, K., Holland, G., Landsea, C., Held, I., Kossin, J. P., Srivastava, A. K., & Sugi, M. (2010) · Nature Geoscience · doi:10.1038/ngeo779 · Cited by 3,194
Moore, B. J., Neiman, P. J., Ralph, F. M., & Barthold, F. E. (2012) · Monthly Weather Review · doi:10.1175/mwr-d-11-00126.1 · Cited by 219
Cited by
Westra, S., Fowler, H. J., Evans, J. P., Alexander, L. V., Berg, P., Johnson, F., Kendon, E. J., Lenderink, G., & Roberts, N. M. (2014) · Reviews of Geophysics · doi:10.1002/2014rg000464 · Cited by 1,533
Miller, J. D., & Hutchins, M. (2017) · Journal of Hydrology: Regional Studies · doi:10.1016/j.ejrh.2017.06.006 · Cited by 685
Future increases in extreme precipitation exceed observed scaling rates
Bao, J., Sherwood, S. C., Alexander, L. V., & Evans, J. P. (2017) · Nature Climate Change · doi:10.1038/nclimate3201 · Cited by 382
Slater, L. J., Anderson, B., Buechel, M., Dadson, S., Han, S., Harrigan, S., Kelder, T., Kowal, K., Lees, T., Matthews, T., et al. (2021) · Hydrology and Earth System Sciences · doi:10.5194/hess-25-3897-2021 · Cited by 357
Alexander, M. A., Scott, J. D., Friedland, K. D., Mills, K. E., Nye, J. A., Pershing, A. J., & Thomas, A. C. (2018) · Elementa: Science of the Anthropocene · doi:10.1525/elementa.191 · Cited by 300
Metadata
- Authors
- Kunkel, K. E., Karl, T. R., Easterling, D. R., Redmond, K., Young, J., Yin, X., & Hennon, P.
- Venue
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Published
- 2013-04-12
- Volume
- 40
- Issue
- 7
- Pages
- 1402-1408
- ISSN
- 0094-8276 (ISSN-L)
- 1944-8007
- OpenAlex
- W1592305242
- Cited by
- 320
- References
- 4
- FWCI
- 17.12
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kunkel, K. E., Karl, T. R., Easterling, D. R., Redmond, K., Young, J., Yin, X., & Hennon, P. (2013). Probable maximum precipitation and climate change. Geophysical Research Letters. https://doi.org/10.1002/grl.50334
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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