An intercomparison of regional climate simulations for Europe:: assessing uncertainties in model projections

被引:567
作者
Deque, M.
Rowell, D. P.
Luethi, D.
Giorgi, F.
Christensen, J. H.
Rockel, B.
Jacob, D.
Kjellstrom, E.
de Castro, M.
van den Hurk, B.
机构
[1] Ctr Natl Rech Meteorol, Meteo France, F-31057 Toulouse 01, France
[2] Met Off, Hadley Ctr Climate Predict & Res, Exeter EX1 3PB, Devon, England
[3] ETH, Swiss Fed Inst Technol, Inst Atmospher & Climate Sci, CH-8057 Zurich, Switzerland
[4] Abdus Salam Int Ctr Theoret Phys, Trieste, Italy
[5] Danish Meteorol Inst, DK-2100 Copenhagen O, Denmark
[6] GKSS Forschungszentrum Geesthacht GmbH, Inst Coastal Res, D-21502 Geesthacht, Germany
[7] Max Planck Inst Meteorol, D-20146 Hamburg, Germany
[8] Swedish Meteorol & Hydrol Inst, S-60176 Norrkoping, Sweden
[9] Univ Castilla La Mancha, Dept Ciencias Ambientales, Toledo 45071, Spain
[10] KNMI, NL-3730 AE De Bilt, Netherlands
关键词
D O I
10.1007/s10584-006-9228-x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ten regional climate models (RCM) have been integrated with the standard forcings of the PRUDENCE experiment: IPCC-SRES A2 radiative forcing and Hadley Centre boundary conditions. The response over Europe, calculated as the difference between the 2071 2100and the 1961-1990 means can be viewed as an expected value about which various uncertainties exist. Uncertainties are measured here by variance in eight sub-European boxes. Four sources of uncertainty can be evaluated with the material provided by the PRUDENCE project. Sampling uncertainty is due to the fact that the model climate is estimated as an average over a finite number of years (30). Model uncertainty is due to the fact that the models use different techniques to discretize the equations and to represent sub-grid effects. Radiative uncertainty is due to the fact that IPCC-SRES A2 is merely one hypothesis. Some RCMs have been run with another scenario of greenhouse gas concentration (IPCC-SRES B2). Boundary uncertainty is due to the fact that the regional models have been run under the constraint of the same global model. Some RCMs have been run with other boundary forcings. The contribution of the different sources varies according to the field, the region and the season, but the role of boundary forcing is generally greater than the role of the RCM, in particular for temperature. Maps of minimum expected 2m temperature and precipitation responses for the IPCC-A2 scenario show that, despite the above mentioned uncertainties, the signal from the PRUDENCE ensemble is significant.
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页码:53 / 70
页数:18
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