A first-of-its-kind multi-model convection permitting ensemble for investigating convective phenomena over Europe and the Mediterranean

被引:220
作者
Coppola, Erika [1 ]
Sobolowski, Stefan [2 ]
Pichelli, E. [1 ]
Raffaele, F. [1 ]
Ahrens, B. [3 ]
Anders, I [4 ]
Ban, N. [5 ]
Bastin, S. [6 ]
Belda, M. [7 ]
Belusic, D. [8 ]
Caldas-Alvarez, A. [9 ]
Cardoso, R. M. [10 ]
Davolio, S. [1 ]
Dobler, A. [12 ]
Fernandez, J. [13 ]
Fita, L. [14 ]
Fumiere, Q. [15 ]
Giorgi, F. [1 ]
Goergen, K. [16 ,17 ]
Guttler, I [18 ]
Halenka, T. [7 ]
Heinzeller, D. [19 ,20 ]
Hodnebrog, O. [21 ]
Jacob, D. [22 ]
Kartsios, S. [23 ]
Katragkou, E. [23 ]
Kendon, E. [24 ]
Khodayar, S. [9 ]
Kunstmann, H. [19 ,25 ]
Knist, S. [17 ,26 ]
Lavin-Gullon, A. [27 ]
Lind, P. [8 ]
Lorenz, T. [2 ]
Maraun, D. [28 ]
Marelle, L. [21 ]
van Meijgaard, E. [29 ]
Milovac, J. [30 ]
Myhre, G. [21 ]
Panitz, H-J [9 ]
Piazza, M. [28 ]
Raffa, M. [31 ]
Raub, T. [22 ]
Rockel, B. [32 ]
Schaer, C. [5 ]
Sieck, K. [22 ]
Soares, P. M. M. [10 ]
Somot, S. [15 ]
Srnec, L. [18 ]
Stocchi, P. [11 ]
Toelle, M. H. [33 ]
机构
[1] Abdus Salaam Int Ctr Theoret Phys, Int Ctr Theoret Phys, Trieste, Italy
[2] Bjerknes Ctr Climate Res, Uni Res, Bergen, Norway
[3] Goethe Univ Frankfurt Frankfurt Am Main, Frankfurt, Germany
[4] ZAMG Cent Inst Meteorol & Geodynam, Vienna, Austria
[5] Swiss Fed Inst Technol, Inst Atmospher & Climate Sci, Zurich, Switzerland
[6] UPMC, Inst Pierre Simon Lapl IPSL, LATMOS, UVSQ,CNRS, Guyancourt, France
[7] Charles Univ Prague, Fac Math & Phys, Dept Atmospher Phys, Prague, Czech Republic
[8] Swedish Meteorol & Hydrol Inst SMHI, Norrkoping, Sweden
[9] Karlsruhe Inst Technol, Inst Meteorol & Climate Res Troposphere Res, Karlsruhe, Germany
[10] Univ Lisbon, Fac Ciencias, Inst Dom Luiz, Lisbon, Portugal
[11] Natl Res Council Italy, Inst Atmospher Sci & Climate, CNR ISAC, Bologna, Italy
[12] Norwegian Meteorol Inst, Oslo, Norway
[13] Univ Cantabria, Dept Appl Math & Comp Sci, Meteorol Grp, Santander, Spain
[14] CONICET UBA, Ctr Invest Mar & Atmosfera CIMA, CNRS UMI IFAECI, Buenos Aires, DF, Argentina
[15] Univ Toulouse, CNRM Ctr Natl Rech Meteorol, CNRS, Meteo France, Toulouse, France
[16] Res Ctr Julich, Inst Bio & Geosci, Agrosphere, IBG 3, Julich, Germany
[17] Geoverbund ABC J, Ctr High Performance Sci Comp Terr Syst, Julich, Germany
[18] Meteorol & Hydrol Serv DHMZ, Zagreb, Croatia
[19] Karlsruhe Inst Technol KIT, Inst Meteorol & Climate Res IMK IFU, Kreuzeckbahnstr 19, D-82467 Garmisch Partenkirchen, Germany
[20] NOAA, Earth Syst Res Lab, Boulder, CO USA
[21] Ctr Int Climate & Environm Res Oslo CICERO, Oslo, Norway
[22] Helmholtz Zentrum Geesthacht Hamburg, Climate Serv Ctr CSC, Hamburg, Germany
[23] Aristotle Univ Thessaloniki, Sch Geol, Dept Meteorol & Climatol, Thessaloniki, Greece
[24] Met Off Hadley Ctr, Exeter, Devon, England
[25] Augsburg Univ, Inst Geog, Augsburg, Germany
[26] Univ Bonn, Meteorol Inst, Bonn, Germany
[27] Univ Cantabria, CSIC, Inst Fis Cantabria IFCA, Meteorol Grp, Santander, Spain
[28] Karl Franzens Univ Graz, Wegener Ctr Climate & Global Change WEGC, Brandhofgasse 5, A-8010 Graz, Austria
[29] Royal Netherlands Meteorol Inst KNMI, De Bilt, Netherlands
[30] Univ Hohenheim, Inst Phys & Meteorol IPM, Stuttgart, Germany
[31] CMCC Fdn, Euro Mediterranean Ctr Climate Change, Capua, Italy
[32] Helmholtz Zentrum Geesthacht, Geesthacht, Germany
[33] Justus Liebig Univ Giessen, Dept Geog Climatol Climate Dynam & Climate Change, Senckenbergstr 1, D-35390 Giessen, Germany
基金
奥地利科学基金会; 欧盟地平线“2020”;
关键词
Convection-permitting; Ensemble models; Climate applications; ATMOSPHERIC CIRCULATION; EXTREME PRECIPITATION; HEAVY PRECIPITATION; MODEL SIMULATIONS; WATER-VAPOR; CLIMATE; RAINFALL; EVENTS; REANALYSIS; FORECASTS;
D O I
10.1007/s00382-018-4521-8
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A recently launched project under the auspices of the World Climate Research Program's (WCRP) Coordinated Regional Downscaling Experiments Flagship Pilot Studies program (CORDEX-FPS) is presented. This initiative aims to build first-of-its-kind ensemble climate experiments of convection permitting models to investigate present and future convective processes and related extremes over Europe and the Mediterranean. In this manuscript the rationale, scientific aims and approaches are presented along with some preliminary results from the testing phase of the project. Three test cases were selected in order to obtain a first look at the ensemble performance. The test cases covered a summertime extreme precipitation event over Austria, a fall Foehn event over the Swiss Alps and an intensively documented fall event along the Mediterranean coast. The test cases were run in both "weather-like" (WL, initialized just before the event in question) and "climate" (CM, initialized 1 month before the event) modes. Ensembles of 18-21 members, representing six different modeling systems with different physics and modelling chain options, was generated for the test cases (27 modeling teams have committed to perform the longer climate simulations). Results indicate that, when run in WL mode, the ensemble captures all three events quite well with ensemble correlation skill scores of 0.67, 0.82 and 0.91. They suggest that the more the event is driven by large-scale conditions, the closer the agreement between the ensemble members. Even in climate mode the large-scale driven events over the Swiss Alps and the Mediterranean coasts are still captured (ensemble correlation skill scores of 0.90 and 0.62, respectively), but the inter-model spread increases as expected. In the case over Mediterranean the effects of local-scale interactions between flow and orography and land-ocean contrasts are readily apparent. However, there is a much larger, though not surprising, increase in the spread for the Austrian event, which was weakly forced by the large-scale flow. Though the ensemble correlation skill score is still quite high (0.80). The preliminary results illustrate both the promise and the challenges that convection permitting modeling faces and make a strong argument for an ensemble-based approach to investigating high impact convective processes.
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页码:3 / 34
页数:32
相关论文
共 85 条
  • [1] [Anonymous], 2009, WORLD METEOROLOGICAL
  • [2] Temperature response to future urbanization and climate change
    Argueeso, Daniel
    Evans, Jason P.
    Fita, Lluis
    Bormann, Kathryn J.
    [J]. CLIMATE DYNAMICS, 2014, 42 (7-8) : 2183 - 2199
  • [3] Heavy precipitation in a changing climate: Does short-term summer precipitation increase faster?
    Ban, Nikolina
    Schmidli, Juerg
    Schaer, Christoph
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2015, 42 (04) : 1165 - 1172
  • [4] Evaluation of the convection-resolving regional climate modeling approach in decade-long simulations
    Ban, Nikolina
    Schmidli, Juerg
    Schaer, Christoph
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2014, 119 (13) : 7889 - 7907
  • [5] Statistico-dynamical downscaling for Mediterranean heavy precipitation
    Beaulant, A-L.
    Joly, B.
    Nuissier, O.
    Somot, S.
    Ducrocq, V.
    Joly, A.
    Sevault, F.
    Deque, M.
    Ricard, D.
    [J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2011, 137 (656) : 736 - 748
  • [6] August 2005 intense rainfall event in Switzerland: Not necessarily an analog for strong convective events in a greenhouse climate
    Beniston, M
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2006, 33 (05)
  • [7] Benoit R, 2002, B AM METEOROL SOC, V83, P85, DOI 10.1175/1520-0477(2002)083<0085:TRTUFS>2.3.CO
  • [8] 2
  • [9] Clouds, circulation and climate sensitivity
    Bony, Sandrine
    Stevens, Bjorn
    Frierson, Dargan M. W.
    Jakob, Christian
    Kageyama, Masa
    Pincus, Robert
    Shepherd, Theodore G.
    Sherwood, Steven C.
    Siebesma, A. Pier
    Sobel, Adam H.
    Watanabe, Masahiro
    Webb, Mark J.
    [J]. NATURE GEOSCIENCE, 2015, 8 (04) : 261 - 268
  • [10] How well can a convection-permitting climate model reproduce decadal statistics of precipitation, temperature and cloud characteristics?
    Brisson, Erwan
    Van Weverberg, Kwinten
    Demuzere, Matthias
    Devis, Annemarie
    Saeed, Sajjad
    Stengel, Martin
    van Lipzig, Nicole P. M.
    [J]. CLIMATE DYNAMICS, 2016, 47 (9-10) : 3043 - 3061