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From 22 May 2017 to 23 May 2017

Uncertainty Quantification and Data assimilation using OpenPALM

nasri |  

Deadline for registration: 15 days before the starting date of each training
Duration : 2 days / (14  hours)



This is a two-day training course that presents some basic ideas on how implementing Uncertainty Quantification (UQ) and Data Assimilation (DA) methods with the dynamical coupling software OpenPALM (http://www.cerfacs.fr/globc/PALM_WEB/),
possibly combined with the Python libraryOpenTURNS (http://www.openturns.org/).
Python has the advantage of being a pre-compiled, portable, dynamical, object-oriented free language.

Target participants

This training session is for engineers, physicists, computer scientists
and numerical analysts who aim at developing or using modular uncertainty quantification and data assimilation applications based on numerical models.


• Notions of data assimilation methods
• Notions of uncertainty quantification methods
• Notions of basic programming in Python, Fortran or other classical languages
• Training on OpenPALM (http://cerfacs.fr/en/event/code-coupling-using-openpalm-5/)

Scientific contact :  Sophie RICCI    Mélanie ROCHOUX



  • Trainees/PhDs/PostDocs : 100 €
  • CERFACS shareholders/CNRS/INRIA : 300 €
  • Public : 600 €


(Every day from 9h to 17h30)

Theoretical part

  • General presentation of data assimilation
  • Various applications at CERFACS
  • Variational formulation of data assimilation


Practical part

  • Implementation of a simplified ocean model in the OpenPALM coupler
  • Formulation of the innovation vector
  • Formulation of the different mathematical operator for the variational approach
  • Formulation of the cost function and its gradient
  • Validation and use of the adjoint model
  • Validation and use of the cost function
  • Implementation of the 3D-FGAT algorithm with OpenPALM•
  • Formulation and use of the 4D-Var and 3D-PSAS algorithms



PhD positions available in two Marie Curie programs to begin at CERFACS in 2017 on combustion instabilities

superadmin |  18 May 2017

CERFACS has won two Marie Curie (ec.europa.eu/research/mariecurieactions) projects on instabilities in combustion systems: the first one MAGISTER will focus on machine learning methods for combustion instabilities and is coordinated by Un. Twente (Netherlands) while the second one (ANNULIGHT) will...Read more

My PhD in 180 seconds

ROGEL |  16 May 2017

Antoine Colmet-Daage, currently PhD student in the "Climate Modelling and Global Change team", participated to the regional final phase of the french competition "Ma thèse en 180 secondes", held in Montpellier on April 20th. You can find his performance on video (and in french), thanks to the...Read more