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We are aiming at publishing various CORDEX domains for the entire World. The CDS-CORDEX subset at the moment consists of the Europe (EURO), Mediterranean (MED), North America (NAMNA), Arctic (ARC), Africa (AFR) and South America (SAM) CORDEX domains. More details of the entire list of CORDEX domains can be found at https://cordex.org/domains/; additionally more details for the EURO-CORDEX and NA-CORDEX activities are available at https://www.euro-cordex.net/ and https://na-cordex.org/, respectively.

Please note that the domains are not on regular grids. Projections may differ depending on the domain and the Regional Climate Model (RCM). The coordinates below are the approximate maximum and minimum values of the domain window (see more details at https://cordex.org/domains/As a summary, the available domains are:

NameShort nameSouthernmost latitudeNorthernmost latitudeWesternmost longitudeEasternmost longitudeHorizontal resolution (degrees)
EuropeEUR-1127°N72°N22°W45°E0.11° x 0.11°
Mediterranean

MED-11

MED-44

25°N52°N21°W50°E

0.11° x 0.11°

0.44° x 0.44°

North America

NAM-22

NAM-44

12°N59°N171°W24°W

0.22° x 0.22°

0.44° x 0.44°

Arctic

ARC-22

ARC-44

46°N90°N180°W180°E

0.22° x 0.22°

0.44° x 0.44°

Africa

AFR-22

AFR-44

45°S42°N24°W60°E

0.22° x 0.22°

0.44° x 0.44°

South America

SAM-20

SAM-22

SAM-44

52°S19°N105°W17°W

0.20° x 0.20°

0.22° x 0.22°

0.44° x 0.44°

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In the tables below, please see the GCM-RCM combinations for each published domains.

EURO-CORDEX:



Med-CORDEX:



NAMNA-CORDEX:



ARC-CORDEX:


AFR-CORDEX:

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C3S is aiming to build a EURO-CORDEX ensemble which is as complete as possible. By doing this, C3S will fill some of the missing elements of the EURO-CORDEX GCM-RCM-RCP uncertainty matrix. As we will have more simulations available (and these being complete sub-matrices, for instance), we are in a better position to assess how the full matrix can be reproduced when based on fewer available model simulations. In addition, we can determine how the missing model elements can be built. This unique study gives valuable insights into the optimal design of such ensemble systems in the future.

References

  • Bukovsky, M. S., and Mearns, L. O. (2020). Regional climate change projections from NA-CORDEX and their relation to climate sensitivity. Clim. Change 162, 645–665. https://link.springer.com/article/10.1007%2Fs10584-020-02835-x
  • Kotlarski, S., Keuler, K., Christensen, O. B., Colette, A., Déqué, M., Gobiet, A., Goergen, K., Jacob, D., Lüthi, D., van Meijgaard, E., Nikulin, G., Schär, C., Teichmann, C., Vautard, R., Warrach-Sagi, K., and Wulfmeyer, V.: Regional climate modeling on European scales: a joint standard evaluation of the EURO-CORDEX RCM ensemble, Geosci. Model Dev., 7, 1297–1333, https://doi.org/10.5194/gmd-7-1297-2014, 2014.
  • Jacob, D., Teichmann, C., Sobolowski, S. et al. Regional climate downscaling over Europe: perspectives from the EURO-CORDEX community. Reg Environ Change 20, 51 (2020). https://doi.org/10.1007/s10113-020-01606-9
  • Article using model simulations prepared by C3S funding:
    Christensen, O.B., Kjellström, E. Partitioning uncertainty components of mean climate and climate change in a large ensemble of European regional climate model projections. Clim Dyn (2020). https://doi.org/10.1007/s00382-020-05229-y 
  • Sørland SL, Schär C, Lüthi D, Kjellström E (2018) Bias patterns and climate change signals in GCM-RCM model chains. Environ Res Lett 13(7):074017. https://doi.org/10.1088/1748-9326/aacc77

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