Evaluation of the Large EURO-CORDEX Regional Climate Model Ensemble

被引:120
|
作者
Vautard, Robert [1 ]
Kadygrov, Nikolay [1 ]
Iles, Carley [2 ]
Boberg, Fredrik [3 ]
Buonomo, Erasmo [4 ]
Buelow, Katharina [5 ]
Coppola, Erika [6 ]
Corre, Lola [7 ]
van Meijgaard, Erik [8 ]
Nogherotto, Rita [6 ]
Sandstad, Marit [9 ]
Schwingshackl, Clemens [9 ]
Somot, Samuel [10 ]
Aalbers, Emma [8 ]
Christensen, Ole B. [3 ]
Ciarlo, James M. [11 ]
Demory, Marie-Estelle [12 ]
Giorgi, Filippo [6 ]
Jacob, Daniela [5 ]
Jones, Richard G. [4 ]
Keuler, Klaus [13 ]
Kjellstrom, Erik [14 ]
Lenderink, Geert [8 ]
Levavasseur, Guillaume [1 ]
Nikulin, Grigory [14 ]
Sillmann, Jana
Solidoro, Cosimo [11 ]
Sorland, Silje Lund [12 ]
Steger, Christian [15 ]
Teichmann, Claas [5 ]
Warrach-Sagi, Kirsten [16 ]
Wulfmeyer, Volker [16 ]
机构
[1] Inst Pierre Simon Laplace, Paris, France
[2] Inst Pierre Simon Laplace, Lab Sci Climat & Environm, Gif Sur Yvette, France
[3] Danish Meteorol Inst, Copenhagen, Denmark
[4] Met Off Hadley Ctr, Exeter, Devon, England
[5] Helmholtz Zentrum Geesthacht, Climate Serv Ctr Germany GERICS, D-20095 Hamburg, Germany
[6] Abdus Salam Int Ctr Theoret Phys ICTP, Trieste, Italy
[7] Meteo France, Toulouse, France
[8] Royal Netherlands Meteorol Inst, KNMI, De Bilt, Netherlands
[9] Ctr Int Climate Res CICERO, Oslo, Norway
[10] Univ Toulouse, CNRS, CNRM, Meteo France, Toulouse, France
[11] Natl Inst Oceanog & Expt Geophys OGS, Trieste, Italy
[12] Swiss Fed Inst Technol, Inst Atmospher & Climate Sci, Zurich, Switzerland
[13] Brandenburg Univ Technol Cottbus Senftenberg, Atmospher Proc, Cottbus, Germany
[14] SMHI Swedish Meteorol & Hydrol Inst, Norrkoping, Sweden
[15] Deutscher Wetterdienst, Offenbach, Germany
[16] Univ Hohenheim, Inst Phys & Meteorol, Stuttgart, Germany
基金
欧盟地平线“2020”;
关键词
climate change; regional climate modeling; EURO-CORDEX; climate model evaluation; model biases; European climate; DAILY PRECIPITATION; CHANGE PROJECTIONS; SIMULATIONS; TEMPERATURE; DATASET; PERFORMANCE; STATISTICS; GENERATION; SCENARIOS; FREQUENCY;
D O I
10.1029/2019JD032344
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The use of regional climate model (RCM)-based projections for providing regional climate information in a research and climate service contexts is currently expanding very fast. This has been possible thanks to a considerable effort in developing comprehensive ensembles of RCM projections, especially for Europe, in the EURO-CORDEX community (Jacob et al., 2014, 2020). As of end of 2019, EURO-CORDEX has developed a set of 55 historical and scenario projections (RCP8.5) using 8 driving global climate models (GCMs) and 11 RCMs. This article presents the ensemble including its design. We target the analysis to better characterize the quality of the RCMs by providing an evaluation of these RCM simulations over a number of classical climate variables and extreme and impact-oriented indices for the period 1981-2010. For the main variables, the model simulations generally agree with observations and reanalyses. However, several systematic biases are found as well, with shared responsibilities among RCMs and GCMs: Simulations are overall too cold, too wet, and too windy compared to available observations or reanalyses. Some simulations show strong systematic biases on temperature, others on precipitation or dynamical variables, but none of the models/simulations can be defined as the best or the worst on all criteria. The article aims at supporting a proper use of these simulations within a climate services context.
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页数:28
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