The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Future increases in extreme precipitation exceed observed scaling rates
Open accessAbstract
Extreme rainfall is predicted to increase with warming; however observations show differing rates of change. This study shows rainfall-associated cooling reduces the observed scaling rate. Projections show increased scaling rates in the future particularly for the strongest extremes. Models and physical reasoning predict that extreme precipitation will increase in a warmer climate due to increased atmospheric humidity1,2,3. Observational tests using regression analysis have reported a puzzling variety of apparent scaling rates including strong rates in midlatitude locations but weak or negative rates in the tropics4,5. Here we analyse daily extreme precipitation events in several Australian cities to show that temporary local cooling associated with extreme events and associated synoptic conditions reduces these apparent scaling rates, especially in warmer climatic conditions. A regional climate projection ensemble6 for Australia, which implicitly includes these effects, accurately and robustly reproduces the observed apparent scaling throughout the continent for daily precipitation extremes. Projections from the same model show future daily extremes increasing at rates faster than those inferred from observed scaling. The strongest extremes (99.9th percentile events) scale significantly faster than near-surface water vapour, between 5.7–15% °C−1 depending on model details. This scaling rate is highly correlated with the change in water vapour, implying a trade-off between a more arid future climate or one with strong increases in extreme precipitation. These conclusions are likely to generalize to other regions.
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A Description of the Advanced Research WRF Version 3
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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
Atmospheric Warming and the Amplification of Precipitation Extremes
Allan, R. P., & Soden, B. J. (2008) · Science · doi:10.1126/science.1160787 · Cited by 1,562
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
Self-citationHigh-quality spatial climate data-sets for Australia
Jones, D. A., Wang, W., & Fawcett, R. (2009) · Australian Meteorological and Oceanographic Journal · doi:10.1071/es09032 · Cited by 1,316
Global Increasing Trends in Annual Maximum Daily Precipitation
Westra, S., Alexander, L. V., & Zwiers, F. W. (2013) · Journal of Climate · doi:10.1175/jcli-d-12-00502.1 · Cited by 1,243
Self-citationO'Gorman, P. A., & Schneider, T. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0907610106 · Cited by 1,154
Changes in temperature and precipitation extremes in the CMIP5 ensemble
Kharin, V. V., Zwiers, F. W., Zhang, X., & Wehner, M. (2013) · Climatic Change · doi:10.1007/s10584-013-0705-8 · Cited by 1,082
Increase in hourly precipitation extremes beyond expectations from temperature changes
Lenderink, G., & van Meijgaard, E. (2008) · Nature Geoscience · doi:10.1038/ngeo262 · Cited by 1,072
Precipitation Extremes Under Climate Change
O’Gorman, P. A. (2015) · Current Climate Change Reports · doi:10.1007/s40641-015-0009-3 · Cited by 881
Cited by
If Precipitation Extremes Are Increasing, Why Aren't Floods?
Sharma, A., Wasko, C., & Lettenmaier, D. P. (2018) · Water Resources Research · doi:10.1029/2018wr023749 · Cited by 528
Increase in extreme precipitation events under anthropogenic warming in India
Mukherjee, S., Aadhar, S., Stone, D., & Mishra, V. (2018) · Weather and Climate Extremes · doi:10.1016/j.wace.2018.03.005 · Cited by 435
Metadata
- Authors
- Bao, J., Sherwood, S. C., Alexander, L. V., & Evans, J. P.
- Venue
- Nature Climate Change
- Published
- 2017-01-09
- Volume
- 7
- Issue
- 2
- Pages
- 128-132
- ISSN
- 1758-678X (ISSN-L)
- 1758-6798
- OpenAlex
- W2576484085
- Cited by
- 382
- References
- 36
- FWCI
- 19.99
- Type
- journal article
- Language
- en
- Open access
- green
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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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