Published February 24, 2023 | Version v1
Report Open

EURO-CORDEX CMIP6 GCM Selection & Ensemble Design: Best Practices and Recommendations

  • 1. NORCE Norwegian Research Center, the Bjerknes Center for Climate Research, Bergen, Norway
  • 2. Centre National de Recherches Météorologiques (CNRM), Météo-France, CNRS, Toulouse, France
  • 3. Instituto de Física de Cantabria, CSIC-Universidad de Cantabria, Santander, Spain
  • 4. Institut des Géosciences de l'Environnement (IGE), Univ. Grenoble Alpes, INRAE, CNRS, IRD, Grenoble INP, Grenoble, France
  • 5. Wegener Center for Climate and Global Change, University of Graz, Graz, Austria
  • 6. Federal office of Meteorology and Climatology (MeteoSwiss), Zurich, Switzerland
  • 7. Norwegian Meteorological Institute, Oslo, Norway
  • 8. Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon, Hamburg, Germany
  • 9. Danish Meteorological Institute (DMI), Copenhagen, Denmark
  • 10. Met Office Hadley Centre, Exeter, UK
  • 11. Aristotle University of Thessaloniki, School of Geology, Department of Meteorology and Climatology, Thessaloniki, Greece
  • 12. Deutscher Wetterdienst, Frankfurter Str. 135, 63067 Offenbach, Germany
  • 13. SWECO Norway AS, Bergen, Norway
  • 14. Swedish Meteorological and Hydrological Institute (SMHI), Norrkjöping, Sweden
  • 15. CECI, Université de Toulouse, CERFACS, CNRS, Toulouse, France
  • 16. Department of Meteorology and Geophysics, University of Vienna, Vienna, Austria
  • 17. Météo-France, Toulouse, France
  • 18. MeteoGalicia, Consellería de Medio Ambiente, Territorio y Vivienda - Xunta de Galicia, Santiago de Compostela, Spain


This white paper and the accompanying tables published in GitHub are meant to help modellers in EURO-CORDEX, and elsewhere, make informed decisions when it comes to selecting GCMs for downscaling from the CMIP6 archive. While the approach to GCM selection during the CMIP5 downscaling phase cannot be wholly considered an “ensemble of opportunity” it is also true that the selection of GCMs was not as rigorous as it could have been. We aim to improve upon this situation and help us construct smarter, more reliable and more useful downscaled ensembles (dynamical, statistical and hybrid) and make the selection process more transparent. The community should consider this a living document that will evolve along with our scientific understanding. We rely mostly on peer-reviewed literature for the assessment of CMIP6 models provided in the linked tables and have devised innovative ways to include relevant metadata and update the tool with new results []. We encourage the wider CORDEX community to become active in this activity, suggest ways to improve and alert us when new results become available or mistakes are noted in the evaluation tables. We also hope that this EURO-CORDEX GCM selection work can inspire good practices and contribute to fruitful discussions in other CORDEX domains and CORDEX-FPS activities.


Euro-CORDEX _CMIP6_GCMSelection_MatrixDesign_v1.pdf

Files (586.0 kB)