Page Personnelle de Christophe Baehr
Christophe Baehr's Homepage
Météo-France/CNRS Researcher member of the CNRM/GAME URA1357, French National Centre for Meteorological Research, Toulouse
Associated member of the Laboratory of Statistics and Probability University of Toulouse III - Paul Sabatier
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- Office: CNRM-GMEI, B035
- Postal address:
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Météo-France
CNRM/GMEI
42 Avenue de Coriolis
31057 Toulouse cedex
France
- Phone: +33 561 079 641
- E-mail: christophe.baehr_{at}_meteo_{dot}_fr, christophe.baehr_{at}_math.univ-toulouse.fr .
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Recherche / Research
Stochastic Filtering of Observations on Random Media. Application to Measurements of Turbulent Fluids
Stochastic Filters for Data Assimilation. Application to Atmospheric Data Assimilation
En quelques mots / In some words:
The filtering of experimental measurements carried out on a turbulent fluid was done until now by linear digital techniques. In order to turn to a non-linear filtering, we have developed stochastic modelings of measurement on a fluid. By studying the measurements made with a mobile sensor in a random medium, we have defined and give the properties of the acquisition process of a vector field along a random path. Then, we have deeply modified the Lagrangian models of fluids proposed by the physicists to make them compatible with the problem of filtering. These models initiated by S.B. Pope belong to the class of McKean-Vlasov equations with mean field. The closure of these equations was obtained by conditioning the Markovian dynamics to the observation and to the acquisition process along the sensor path.
For the stochastic filtering of the conditioned acquisition process, we have proposed new algorithms of non-linear filtering for mean-field processes and for some various types of laws. We prove the convergence of the particle approximation for each new algorithms of estimates we gave.
The resulted filtering algorithms are based on the dynamics of genealogical trees where the processes interact by genetic selections and by their mean-field law.
Finally, this innovative work allowed us to filter velocity measurements of a turbulent fluid. We present several applications of our methods by using some 1D, 2D or 3D measurements, simulated or real. Our techniques make it possible to obtain high frequency estimates of the fluid velocities as well as quantities characterizing turbulence, and we proceed to a systematic study on numerical errors produced by our methods of calculation.
The second part of our research is linked to data assimilation. We study different non-linear techniques used in stochastic engineering to suggest new algorithms appropriate to high dimensional problems occuring in atmospheric data assimilation. In the end, we study the mathematical properties of this new estimators.
ANR Research Projects 2009-2011 :
ANR PREVASSEMBLE; Forecasting and Data assimilation. Subject : Particle Filter in Geosciences Applications with Pierre Del Moral
SESAR Joint Undertaking 2009-2016 :
SESAR J.U., Meteo-France affiliate of the DGAC/DSNA/DTI ; Work Package 4.7.1 and 4.7.2. Subject : New algorithms and stochastic estimators for the weather environment in the optimization of the commercial aircraft trajectory prediction problem
Publications
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Publications
- O. Pannekoucke and C. Baehr (2010) : Kalman filters family in geoscience and beyond chapter in Kalman Filtering. J.M. Gomez Ed. Nova Science Publishers, 2010
- C. Baehr and O. Pannekoucke (2009) : Some issues and results on the EnKF and particle filters for meteorological models. chapter in Chaotic Systems: Theory and Applications. C. H. Skiadas and I. Dimotikalis Ed. World Scientific, 2010
- M. Lei, P. Del Moral and C. Baehr (2009): Fisher Information Matrix-based Nonlinear System Conversion for State Estimation. Accepted for publication in IEEE transaction on Control and Automation ( preliminary version ).
- M. Lei, P. Del Moral and C. Baehr (2009): Analysis of Approximated PCRLBs for Nonlinear Dynamics Using Different Moments of State Estimate. Accepted for publication in IEEE transaction on Control and Automation ( preliminary version ).
- S. Rémy, O.Pannekoucke, T. Bergot and C. Baehr (2009):
Adaptation of a particle filtering method for data assimilation in a 1D numerical model used for fog forecasting . Accepted with revision for publication in the QJRMS ( preliminary version )
- C. Baehr (2009):
Nonlinear Filtering for observations on a random vector field along a random path. Accepted for publication in M2AN - ESAIM ( preliminary version )
- C. Baehr and François Le Gland (2009):
Some Mean-Field Processes Filtering using Particles System Approximations. Application to turbulent fluids measurements. in prep
- C. Baehr (2009):
Stochastic modeling and filtering of discrete measurements for a turbulent field. application to measurements of atmospheric wind. Int. Journal Modern Phys. B, 23 (28-29), 5424-5433, DOI No: 10.1142/S0217979209063742
( preliminary version )
- C. Baehr (2008) Probabilistic models for atmospheric turbulence to filter measurements with particle approximations PhD. Thesis, pdf in french
- C. Baehr et al. (1999) Dynamical Characterization of the FASTEX cyclogenesis cases. Quarterly Journal of the Royal Meteorological Society 125(561): 3469 online abstract
- C. Baehr et al (1999) Effects of a low-level precursor and frontal stability on cyclogenesis during FASTEX IOP17. Quarterly Journal of the Royal Meteorological Society 125(561): 3415. online abstract
Workshop
- Workshop Organizer 2010 : 5èmes rencontres Météo/MathAppli : Air traffic modeling and meteorology, co-organisée avec la SMAI et la DSNA/DTI
on 08th and 09th March 2010 at Météo-France Toulouse . Web link to the workshop (in French)
- Workshop Organizer 2009 : 4èmes rencontres Météo/MathAppli co-organisée avec la SMAI et l'IMT
on 25th Mars 2009 at Paul Sabatier University of Toulouse and on 26th Mars at Météo-France Toulouse . Web link to the workshop (in French)
- Workshop Organizer 2008 : 3èmes rencontres Météo/MathAppli : Extrem Events + Ensemble Kalman Filter
on 18th and 19th September at Météo-France Toulouse . Web link to the workshop (in French)
- Workshop Organizer 2007 : 2èmes rencontres Météo/MathAppli : Journée Méthodes Particulaires en Mécanique des fluides
on Friday 16th March at Météo-France Toulouse . Web link to the workshop (in French)
- Workshop Organizer 2006 : 1ères rencontres Météo/MathAppli : PDF methods for fluids dynamics
on 06th March 2006 at Météo-France Toulouse .
Talks
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Peer-reviewed proceedings of conference
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Talks and meetings in France
- Paris, Décembre 2009.
Talk at the Journée assimilation de données LEFE/ASSIM INRIA Paris.
Filtrage stochastique non linéaire et approximation particulaire pour des modèles météorologiques.(pdf).
- Toulouse, September 2008.
Talk at the Séminaire de Probabilités of the Toulouse Mathematics Institute .
Modélisation probabiliste des écoulements atmosphériques turbulents afin d'en filtrer la mesure par approche particulaire.(pdf).
- Rennes, November 2007.
Talk during the Turbulence Working Group at the CEMAGREF.
Filtrage stochastique des mesures bruitées de vitesses d'un fluide turbulent.(pdf). Overview of the 3 days (in french) pdf
- Rennes, January 2007.
Talk at the IRISA.,
Filtrage des mesures de vitesse d'un fluide. Estimation particulaire par modèle markovien conditionnel vs modèle a priori.(pdf)
- Toulouse, December 2006.
Talk at the fluid mechanics work group of the
laboratoire MIP;,
Introduction au Filtrage non linéaire, application aux mesures de vitesses d'un fluide.
- Nice, November 2006.
Talk at the OMEGA work group of the
INRIA Sophia Antipolis,
Filtrage des mesures de vitesse d'un fluide en écoulements 2D et 3D.
- Lille, September 2006.
Talk at the Journées Modèles Aléatoires Spatiaux of the
SMAI,
Filtrage des mesures de vitesse d'un fluide par estimation particulaire.(pdf)
- Toulouse, March 2006.
Talk at the "1ère Rencontre Météo/MathAppli",
Méthodes PDF pour les fluides.
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Talks and meetings abroad
Lectures
- Master 2 Biostatistique et Modélisation
- Traitement du Signal Aléatoire (Cours Magistral 12h, TD 16h )
- Master 1 Ecologie Aquatique
- Introduction à l'étude des séries chronologiques (Cours Magistral 3h, TD 4h )
- Météo-France Cours Élève Ingénieur de la Météorologie
- Traitement du Signal Déterministe et Aléatoire (Cours Magistral 18h - TD 4h)
- Météo-France Qualification Météo-Navigant
- Introduction à la dynamique des signaux (Cours Magistral 3h)(pdf)
Background
Researcher employed by Meteo-France at the National Research Center, Toulouse since 2001.
Ph.D. degree, Paul Sabatier University, Toulouse, Speciality : Applied Mathematics, option Probability, 2008.
M.Sc in Applied Mathematics, Probability Option, Université Paul Sabatier, Toulouse, 2004.
Maitrise in Mathematical Engineering, Université Paul Sabatier, Toulouse, 2003.
Maitrise in Mathematics and Fundamental Applications, Université Pierre et Marie Curie, Paris 6, 1998.
B.Sc in Pure Mathematics, Université Pierre et Marie Curie, Paris 6, 1996.