The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Future change of precipitation extremes in Europe: Intercomparison of scenarios from regional climate models
Open accessAbstract
An analysis of the climate of precipitation extremes as simulated by six European regional climate models (RCMs) is undertaken in order to describe/quantify future changes and to examine/interpret differences between models. Each model has adopted boundary conditions from the same ensemble of global climate model integrations for present (1961–1990) and future (2071–2100) climate under the Intergovernmental Panel on Climate Change A2 emission scenario. The main diagnostics are multiyear return values of daily precipitation totals estimated from extreme value analysis. An evaluation of the RCMs against observations in the Alpine region shows that model biases for extremes are comparable to or even smaller than those for wet day intensity and mean precipitation. In winter, precipitation extremes tend to increase north of about 45°N, while there is an insignificant change or a decrease to the south. In northern Europe the 20‐year return value of future climate corresponds to the 40‐ to 100‐year return value of present climate. There is a good agreement between the RCMs, and the simulated change is similar to a scaling of present‐day extremes by the change in average events. In contrast, there are large model differences in summer when RCM formulation contributes significantly to scenario uncertainty. The model differences are well explained by differences in the precipitation frequency and intensity process, but in all models, extremes increase more or decrease less than would be expected from the scaling of present‐day extremes. There is evidence for a component of the change that affects extremes specifically and is consistent between models despite the large variation in the total response.
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Cites
An Introduction to Statistical Modeling of Extreme Values
Coles, S. (2001) · Springer Series in Statistics · doi:10.1007/978-1-4471-3675-0 · Cited by 7,352
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
Conceptual Framework for Changes of Extremes of the Hydrological Cycle with Climate Change
Trenberth, K. E. (1999) · Climatic Change · doi:10.1023/a:1005488920935 · Cited by 571
Potential impacts of global warming on the frequency and magnitude of heavy precipitation
Fowler, A. M., & Hennessy, K. J. (1995) · Natural Hazards · doi:10.1007/bf00613411 · Cited by 256
Cited by
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
Is climate change responsible for changing landslide activity in high mountains?
Huggel, C., Clague, J. J., & Korup, O. (2012) · Earth Surface Processes and Landforms · doi:10.1002/esp.2223 · Cited by 522
Murphy, J. M., Booth, B. B. B., Collins, M., Harris, G. R., Sexton, D. M. H., & Webb, M. J. (2007) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2007.2077 · Cited by 316
On the Verification and Comparison of Extreme Rainfall Indices from Climate Models
Chen, C.-T., & Knutson, T. (2008) · Journal of Climate · doi:10.1175/2007jcli1494.1 · Cited by 268
Very extreme seasonal precipitation in the NARCCAP ensemble: model performance and projections
Wehner, M. F. (2013) · Climate Dynamics · doi:10.1007/s00382-012-1393-1 · Cited by 137
Metadata
- Authors
- Frei, C., Schöll, R., Fukutome, S., Schmidli, J., & Vidale, P. L.
- Venue
- Journal of Geophysical Research: Atmospheres
- Publisher
- American Geophysical Union (AGU)
- Published
- 2006-03-24
- Volume
- 111
- Issue
- D6
- ISSN
- 0148-0227 (ISSN-L)
- OpenAlex
- W2166765524
- Cited by
- 676
- References
- 4
- FWCI
- 34.08
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Frei, C., Schöll, R., Fukutome, S., Schmidli, J., & Vidale, P. L. (2006). Future change of precipitation extremes in Europe: Intercomparison of scenarios from regional climate models. Journal of Geophysical Research: Atmospheres. https://doi.org/10.1029/2005jd005965
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