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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:

Experiments

The CDS-CORDEX subset consists of the following CORDEX experiments partly derived from the CMIP5 ones:

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EURO-CORDEX (some simulations displayed in the table will be added to the CDS only later):

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Med-CORDEX:

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NAM-CORDEX:

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ARC-CORDEX:

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AFR-CORDEX:

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SAM-CORDEX:

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The 13 Regional Climate Models that ran simulations over the European domain will be documented through the Earth-System Documentation (ES-DOC) which provides a standardised and easy way to document climate models.

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• Please have a look on the Errata Service to be warned about deprecated CORDEX runs that will be retracted in the future.
• Please not that not all combinations of models and domains exists. This feature is due to the different CORDEX initiatives/consortiums that do not involved the same data producers using the same RCMs.
• Please note that not all the combinations of models and variables exist. This feature is inherited from the ESGF system, where the main target is to publish as much as possible data and even publish incomplete datasets, which might be of use. This allows to have more data available with the price that not everything is fully complete. 

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EURO-CORDEX background documents and user guides

There is a very useful User Guide prepared by the EURO-CORDEX community which is providing guidance how to use EURO-CORDEX climate projection data. Please note that the data download part of this document at this stage refers only to access the data from the ESGF directly. Certainly the data can be also downloaded from the CDS and this information will be soon provided in that document. This EURO-CORDEX User Guide is available at https://www.euro-cordex.net/imperia/md/content/csc/cordex/guidance_for_euro-cordex-guidelines-version1.0-2017.08._climate_projections_data_use__2021-02_1_.pdf

The spatial overlaps of the different CORDEX domains provides an opportunity for building grand ensembles by pulling together all the existing simulations from the different domains. Although this could in principle create some heterogeneity and/or duplication, there are recent studies that use and support this option (https://doi.org/10.1175/JCLI-D-19-0084.1), although further research is still needed to assess the resulting grand ensembles (see for instance https://doi.org/10.1029/2019GL086799).

The documents below were provided by the data supplier as background information on the creation of the EURO-CORDEX data stored in the Climate Data Store (CDS) for the benefit of the CORDEX data users.

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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

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EURO-CORDEX:

• 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/s10113-020-01606-9Article 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

• Coppola E., Nogherotto R., Ciarlò J.M., Giorgi F., van Meijgaard E., Kadygrov N., Iles C., Corre L., Sandstad M., Somot S., Nabat P., Vautard R., Levavasseur G., Schwingshackl C., Sillmann J., Kjellström E., Nikulin G., Aalbers E., Lenderink G., Christensen O.B., Boberg F., Lund Sørland S., Demory M.-E., Bülow K., Teichmann C., Warrach-Sagi K., Wulfmeyer V. (2021) Assessment of the European climate projections as simulated by the large EURO-CORDEX regional and global climate model ensemble. Journal of Geophysical Research – Atmospheres, doi: 10.1029/2019JD032356

• Vautard R., Kadygrov N., Iles C., Boberg F., Buonomo E., Bülow K., Coppola E., Corre L., van Meijgaard E., Nogherotto R., Sandstad M., Schwingshackl C., Somot S., Aalbers E., Christensen O.B., Ciarlo J.M., Demory M.-E., Giorgi F., Jacob D., Jones R.G., Keuler K., Kjellström E., Lenderink G., Levavasseur G., Nikulin G., Sillmann J., Solidoro C., Lund Sørland S., Steger C., Teichmann C., Warrach-Sagi K., Wulfmeyer V.(2021) Evaluation of the large EURO-CORDEX regional climate model ensemble. Journal of Geophysical Research – Atmospheres,doi: 10.1029/2019JD032344

MED-CORDEX:

• Ruti PM, Somot S, Giorgi F, Dubois C, Flaounas E, Obermann A, Dell’Aquila A, Pisacane G, Harzallah A, Lombardi E, Ahrens B, Akhtar N, Alias A, Arsouze T, Aznar R, Bastin S, Bartholy J, Béranger K, Beuvier J, Bouffies-Cloché S, Brauch J, Cabos W, Calmanti S, Calvet J-C, Carillo A, Conte D, Coppola E, Djurdjevic V, Drobinski P, Elizalde-Arellano A, Gaertner M, Galàn P, Gallardo C, Gualdi S, Goncalves M, Jorba O, Jordà G, L'Heveder B, Lebeaupin-Brossier C, Li L, Liguori G, Lionello P, Maciàs D, Nabat P, Onol B, Raikovic B, Ramage K, Sevault F, Sannino G, Struglia MV, Sanna A, Torma C, Vervatis V(2016) MED-CORDEX initiative for Mediterranean Climate studies. Bull. Amer. Meteor. Soc.,97(7), 1187-1208,July 2016, doi: http://dx.doi.org/10.1175/BAMS-D-14-00176.1, http://journals.ametsoc.org/doi/abs/10.1175/BAMS-D-14-00176.1

• Somot S., Ruti P., Ahrens B., Coppola E., Jordà G., Sannino G., Solmon F. (2018). Editorial for the Med-CORDEX Special Issue. Clim. Dyn. 51(3):771-777, doi: 10.1007/s00382-018-4325-x, https://link.springer.com/article/10.1007/s00382-018-4325-x
• Med-CORDEX Special Issue, Climate Dynamics, volume 51, issue 3, 2018; https://link.springer.com/journal/382/volumes-and-issues/51-3

NAM-CORDEX:

• 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

ARC-CORDEX:

• Inoue, J., Sato, K., Rinke, A., Cassano, J. J., Fettweis, X., Heinemann, G., et al., 2021: Clouds and radiation processes in regional climate models evaluated using observations over the ice‐free Arctic Ocean, J. Geophys. Res. Atm., 126, e2020JD033904, doi:10.1029/2020JD033904

• Sedlar, J., M. Tjernström, A. Rinke, A. Orr, J. Cassano, X. Fettweis, et al., 2020: Confronting Arctic troposphere, clouds and surface energy budget representations in regional climate models with observations, J. Geophys. Res. Atm., 124, doi:10.1029/2019JD031783

• Akperov, M., A. Rinke, I.I. Mokhov, V.A. Semenov, M.R. Parfenova, H. Matthes, et al., 2019: Future projections of cyclone activity in the Arctic for the 21st century from regional climate models (Arctic-CORDEX), Glob. Planet. Change, doi:10.1016/j.gloplacha.2019.103005

• Diaconescu, E.P., Mailhot, A., Brown, R. et al., 2018: Evaluation of CORDEX-Arctic daily precipitation and temperature-based climate indices over Canadian Arctic land areas, Clim. Dyn., 50, 2061–2085, doi:doi.org/10.1007/s00382-017-3736-4

AFR-CORDEX:

• Nikulin G, Lennard C, Dosio A, Kjellström E, Chen Y, Hänsler A, Kupiainen M, Laprise R, Mariotti L, Fox Maule C, van Meijgaard E, Panitz H-J, Scinocca J F and Somot S (2018) The effects of 1.5 and 2 degrees of global warming on Africa in the CORDEX ensemble, Environ. Res. Lett., doi:10.1088/1748-9326/aab2b4, http://iopscience.iop.org/article/10.1088/1748-9326/aab1b1
• Nikulin G., Jones, C. , Giorgi, F., Asrar, G., Büchner, M., Cerezo-Mota, R., Christensen, O. B., Déqué, M., Fernandez, J., Haensler, van Meijgaard, E., Samuelsson P., Sylla M. B., and Sushama L., 2013.  Precipitation Climatology in An Ensemble of CORDEX-Africa Regional Climate Simulations,  J. Climate, 25, 6057–6078. DOI: 10.1175/JCLI-D-11-00375.1

SAM-CORDEX: 

• Blázquez, J., Silvina, A.S. Multiscale precipitation variability and extremes over South America: analysis of future changes from a set of CORDEX regional climate model simulations. Clim Dyn 55, 2089–2106 (2020). https://doi.org/10.1007/s00382-020-05370-8
• Llopart, M., Simões Reboita, M. & Porfírio da Rocha, R. Assessment of multi-model climate projections of water resources over South America CORDEX domain. Clim Dyn 54, 99–116 (2020). https://doi.org/10.1007/s00382-019-04990-z
• Solman, S.A., Blázquez, J. Multiscale precipitation variability over South America: Analysis of the added value of CORDEX RCM simulations. Clim Dyn 53, 1547–1565 (2019). https://doi.org/10.1007/s00382-019-04689-1
• Falco, M., Carril, A.F., Menéndez, C.G. et al. Assessment of CORDEX simulations over South America: added value on seasonal climatology and resolution considerations. Clim Dyn 52, 4771–4786 (2019). https://doi.org/10.1007/s00382-018-4412-z

CORDEX-CORE (comprehensive and homogeneous projections across almost all CORDEX domains with 0.22º resolution):

• Teichmann, C., Jacob, D., Remedio, A.R. et al. Assessing mean climate change signals in the global CORDEX-CORE ensemble. Clim Dyn (2020). https://doi.org/10.1007/s00382-020-05494-x

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