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Scientific challenges at CERFACS

Research at CERFACS is performed on 9 cross-functional axes, from high performance computing and advanced algorithms (numerical methods, code coupling, data assimilation, uncertainties) to expanding themes such as climate, environment , combustion, aeronautics.

Its application fields deal with scientific challenges structuring several decadal projects. These challenges meet the cross-functionnal CERFACS research areas conducted  by one or several teams.

  • The Cougar and Puma challenges respectively aim at the simulation of the unsteady functioning of a complete engine of gas turbine and of a whole aircraft in realistic flight conditions.
  • The Declipp challenge deals with decadal prediction and climate variability using climate modeling and a coupled ocean-atmosphere model.
  • The Decola challenge is about simulating unsteady combustion of rocket engines in realistic “supercritical” named conditions.
  • The Modest challenge gathers specialized modeling activities about environment and security. This in order to better characterize natural and industrial risks in terms of monitoring, scenarios and real-time tracking.

More challenges may be created in consultation with the CERFACS shareholders.


New regional climate projections for metropolitan France

superadmin |  11 February 2021

Cerfacs collaborated with Météo France and the Institut Pierre-Simon-Laplace (IPSL) to produce the DRIAS climate dataset, which presents a wide range of possible climate changes for metropolitan France for three periods of the 21st century (2021-2050, 2041-2070 and 2071-2100) and three greenhouse gas emission scenarios. Liens : .pdfRead more

New research group “Theory and Climate”

Mélanie ROCHOUX |  1 February 2021

CECI is involved in the development of a new research group (GDR for “Groupement De Recherche”) entitled “Theory and Climate”. This GDR aims at bringing together the entire community of theorists (mathematicians, physicists, computer scientists, data scientists, etc.) working on climate sciences, with the goal of developing and sharing innovative concepts and tools relevant for a better understanding of climate dynamics. This GDR is interdisciplinary and involves several CNRS research institutes as well as most of French organizations working in these fields. CECI plans to contribute to issues related to climate dynamics and applied mathematics such as data assimilation and machine learning. Moreover, there are strong links between this GDR and the LEFE-INSU actions, in which CECI researchers are active (LEFE-IMAGO and LEFE-MANU actions). More information here:Read more