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AVENUE Project

AVENUE Project 

Variational-Ensemble Data Assimilation

 

 

Project period : September 2014 – September 2017

Coordinators :  Ehouarn Simon (INPT-IRIT), Selime Gürol  (CERFACS)

Partners: CERFACS, INPT-IRIT, MétéoFrance-CNRM, CNES-GET

 

Objectives

  • Stochastic modeling of uncertainties (Initial conditions, models, observations)
  • Large-scale non-linear ensemble estimation
  • HPC algorithms for data assimlation
  • Applications in meteorology,  oceanography and earth’s gravity field

 

Methodologies

  • Development of a variational-ensemble methodologies
  • Probabilistic convergence study for large samples
  • Time-parallel methodologies
  • Covariance filtering

 

Application : Meteorology

  • Météo-France model: global (ARPEGE) and regional (AROME)
  • Strong operational constraints (HPC)
  • Covariance matrix localisation

 

Application: Ocean

  • Low resolution global model (NEMO)  – (1 deg.) and high resolution (1/4 deg)
  • Hybrid formulation of covariances
  • Development of HPC algorithms

 

 

 

 

 

 

Application: geodesy

  • Restitution of the earth’s gravity field on the basis of GRACE satellite measurements
  • Inversion + spectral analysis in large scale
  • Implementation of EnKF filters

 

 

 

 

CALENDAR

Monday

24

June

2024

Data assimilation

From Monday 24 June 2024 to Thursday 27 June 2024

  Training    

Monday

07

October

2024

Machine learning for data science

From Monday 7 October 2024 to Thursday 10 October 2024

  Training    

Monday

14

October

2024

Fundamentals to understand and analyse high fidelity compressible Large Eddy Simulations

From Monday 14 October 2024 to Wednesday 16 October 2024

  Training       Cerfacs, Toulouse, France    

ALL EVENTS