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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

18

March

2024

Introduction to programming practices for scientific computing

Monday 18 March 2024

  Training    

Friday

22

March

2024

Advanced programming practices for scientific computing

Friday 22 March 2024

  Training       Cerfacs, Toulouse, France    

Tuesday

26

March

2024

ALL EVENTS