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Centre of basic and applied research specialized in modelling and numerical simulation, Cerfacs, through its facilities and expertise in high-performance computing, deals with major scientific and technical research problems of public and industrial interest.

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NEWS

Swings oceanographic campaign

nasri |  11 January 2021

Christophe Cassou, a researcher at the Cerfacs/CNRS joint laboratory (CECI: Climate, Environment, Couplings and Uncertainties) will take part in the Swings oceanographic campaign, involving 48 scientists and led by two CNRS researchers. It will take place in the Southern Ocean on board the Marion Dufresne II of the French Oceanographic Fleet (FOF), operated by Ifremer, from 11 January to 8 March. 2 months sea explore southen oceansRead more


Best wishes 2021 !

Brigitte Yzel |  5 January 2021

Cerfacs wishes you all the best for this new year 2021!Read more

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RESEARCH PUBLICATIONS

Ménard, F., Cuello, N., Ginski, C., van der Plas, G., Villenave, M., Gonzalez, J. -F., Pinte, C., Benisty, M., Boccaletti, A., Boehler, Y., Chripko, S., Boer, G., Dominik, C., Garufi, A., Hagelberg, J., Henning, T., Langlois, M., Maire, A. L., Pinilla, P., Price, D. J., Ruane, G. J., Schmid, H. M., van Holstein, R. G., Vigan, A., Zurlo, A., Hubin, N., Pavlov, A., Rochat, S., Sauvage, J. -F. and Stadler, E. (2020) On-going flybly in the young multiple system UX Tauri, Astronomy and Astrophysics Letters, 639 (L1), pp. 1-7, doi:10.1051/0004-6361/202038356

[pdf] [doi]

@ARTICLE{AR-CMGC-20-194, author = {Ménard, F. and Cuello, N. and Ginski, C. and van der Plas , G. and Villenave, M. and Gonzalez, J.-F. and Pinte, C. and Benisty, M. and Boccaletti, A. and Boehler, Y. and Chripko, S. and Boer, G. and Dominik, C. and Garufi, A. and Hagelberg, J. and Henning, Th. and Langlois, M. and Maire, A.L. and Pinilla, P. and Price, D.J. and Ruane, G.J. and Schmid, H.M. and van Holstein, R.G. and Vigan, A. and Zurlo, A. and Hubin, N. and Pavlov, A. and Rochat, S. and Sauvage, J.-F. and Stadler, E. }, title = {On-going flybly in the young multiple system UX Tauri}, year = {2020}, number = {L1}, volume = {639}, pages = {1-7}, doi = {10.1051/0004-6361/202038356}, journal = {Astronomy and Astrophysics Letters}, pdf = {https://cerfacs.fr/wp-content/uploads/2021/01/GlobC-Article-Ménard-Pngoing-flyby-AA2020.pdf}}

Dagon, K., Sanderson, B. M., Fisher, R. A. and Lawrence, D. M. (2020) A machine learning approach to emulation and biophysical parameter estimation with the Community Land Model, version 5, Advances in Statistical Climatology, Meteorology and Oceanography, 6 (2), pp. 223-244, doi:10.5194/ascmo-6-223-2020

[pdf] [Supplementary Material] [doi]

@ARTICLE{AR-CMGC-20-195, author = {Dagon, K. and Sanderson, B.M. and Fisher, R.A. and Lawrence, D.M. }, title = {A machine learning approach to emulation and biophysical parameter estimation with the Community Land Model, version 5}, year = {2020}, number = {2}, volume = {6}, pages = {223-244}, doi = {10.5194/ascmo-6-223-2020}, journal = {Advances in Statistical Climatology, Meteorology and Oceanography}, pdf = {https://cerfacs.fr/wp-content/uploads/2021/01/GlobC-Article-Dagon-ascmo-6-223-2020.pdf}, supplementaryMaterial = {https://cerfacs.fr/wp-content/uploads/2021/01/GlobC-Article-Dagon-ascmo-6-223-2020-supplement.pdf}}

Grimonprez, S., Wu, J., Faccinetto, A., Gosselin, S., Riber, E., Cuenot, B., Cazaunau, M., Pangui, E., Formenti, P., Doussin, J. -F., Petitprez, D. and Desgroux, P. (2021) Hydrophilic properties of soot particles exposed to OH radical: a possible new mechanism involved in the contrail formation, Proceedings of the Combustion Institute, 38, doi:10.1016/j.proci.2020.06.306

[url] [doi]

@ARTICLE{AR-CFD-21-8, author = {Grimonprez, S. and Wu, J. and Faccinetto, A. and Gosselin, S. and Riber, E. and Cuenot, B. and Cazaunau, M. and Pangui, E. and Formenti, P. and Doussin, J.-F. and Petitprez, D. and Desgroux, P. }, title = {Hydrophilic properties of soot particles exposed to OH radical: a possible new mechanism involved in the contrail formation}, year = {2021}, volume = {38}, doi = {10.1016/j.proci.2020.06.306}, journal = {Proceedings of the Combustion Institute}, url = {https://www.sciencedirect.com/science/article/abs/pii/S1540748920303989}}

Ruggieri, P., Bellucci, A., Nicoli, D., Athanasiadis, P., Gualdi, S., Cassou, C., Castruccio, F., Danabasoglu, G., Davini, P., Dunstone, N., Eade, R., Gastineau, G., Harvey, B., Hermanson, L., Qasmi, S., Ruprich-Robert, Y., Sanchez-Gomez, E., Smith, D., Wild, S. and zampieri , M. (2021) Atlantic Multidecadal Variability and North Atlantic Jet: a multi-model view from the Decadal Climate Prediction Project, Journal of Climate, pp. 347-360, doi:10.1175/JCLI-D-19-0981.1

[pdf] [doi]

@ARTICLE{AR-CMGC-21-15, author = {Ruggieri, P. and Bellucci, A. and Nicoli, D. and Athanasiadis , P. and Gualdi, S. and Cassou, C. and Castruccio, F. and Danabasoglu, G. and Davini , P. and Dunstone , N. and Eade, R. and Gastineau, G. and Harvey, B. and Hermanson , L. and Qasmi, S. and Ruprich-Robert, Y. and Sanchez-Gomez, E. and Smith, D. and Wild, S. and zampieri, M. }, title = {Atlantic Multidecadal Variability and North Atlantic Jet: a multi-model view from the Decadal Climate Prediction Project}, year = {2021}, pages = {347-360}, doi = {10.1175/JCLI-D-19-0981.1}, journal = {Journal of Climate}, pdf = {https://cerfacs.fr/wp-content/uploads/2020/12/GlobC-Article-Cassou-Atlantic-Multidecadal-Variability-and-North-Atlantic-Jet-a-multi-model-view-from-the-Decadal-Climat-2020.pdf}}

Esclapez, L., Collin-Bastiani, F., Riber, E. and Cuenot, B. (2021) A statistical model to predict ignition probability, Combustion and Flame, 225 (March), pp. 180-195, ISSN 0010-2180, doi:10.1016/j.combustflame.2020.10.051

[url] [doi]

@ARTICLE{AR-CFD-21-11, author = {Esclapez, L. and Collin-Bastiani, F. and Riber, E. and Cuenot, B. }, title = {A statistical model to predict ignition probability}, year = {2021}, number = {March}, volume = {225}, pages = {180-195}, issn = {0010-2180}, doi = {10.1016/j.combustflame.2020.10.051}, journal = {Combustion and Flame}, abstract = {Ignition capability is a critical design constraint for aeronautical gas turbines. However the current trend toward overall lean burn is detrimental to the engine ignition and relight and the ignition system must be adapted to ensure a fast and reliable light-round in all circumstances. As ignition is a stochastic phenomenon, the optimization of an ignition system requires to build ignition probability maps, which is difficult and costly with either experiment or numerical simulation as both require many tests. This work proposes a model to predict the ignition probability map, knowing only flow statistics in non-reacting conditions, i.e., with only one test. The originality of the model is to construct statistics of the flame kernel trajectory, which are then combined with local flow indicators to evaluate the ignition probability at the considered sparking location. Application to a swirled burner operated in premixed, non-premixed and spray combustion modes illustrates the model concepts and demonstrates its ability to recover the experimental ignition map with good accuracy.}, keywords = {Ignition probability, Gas turbine, Turbulent combustion}, url = {https://www.sciencedirect.com/science/article/abs/pii/S0010218020304715}}

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Developer: scientific workflows and interfaces to support climate data

 

Description The work will focus on several aspects that require collaborative and agile design and development....Read more


Wall-Modelled Large Eddy Simulations of corner separation in a linear compressor cascade

Context : In compressors, corner separation is a frequent phenomenon occurring at the junction between the...Read more

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