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Number of documents

4

Didier LUCOR


Currently a research director at the French National Research Agency (CNRS) and head of the Mechanical Engineering dpt at the Interdisciplinary Lab of Numerical Sciences (LISN), part of Paris-Saclay campus, France. I received my PhD (2004) in Applied Math. from Brown University; was a postdoctoral fellow (2004-2005) in the dpt of Ocean Eng at MIT. Research interests: stochastic modeling/computational mechanics, physics-informed machine learning, uncertainty quantification, data assimilation, robust optimization and inverse problems with applications ranging from turbulence, environmental flows and biomechanics


bertrand-iooss   

Journal articles3 documents

  • Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss, Didier Lucor, Angélique Ponçot. Error covariance tuning in variational data assimilation: application to an operating hydrological model. Stochastic Environmental Research and Risk Assessment, Springer Verlag (Germany), 2021, ⟨10.1007/s00477-020-01933-7⟩. ⟨hal-02992507⟩
  • Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss, Angélique Ponçot, Didier Lucor. A graph clustering approach to localization for adaptive covariance tuning in data assimilation based on state-observation mapping. Mathematical Geosciences, Springer Verlag, 2021. ⟨meteo-02460851v2⟩
  • Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss, Didier Lucor, Angélique Ponçot. Background Error Covariance Iterative Updating with Invariant Observation Measures for Data Assimilation. Stochastic Environmental Research and Risk Assessment, Springer Verlag (Germany), 2019, 33, pp.2033-2051. ⟨hal-02307657⟩

Conference papers1 document

  • Jean-Philippe Argaud, Sibo Cheng, Bertrand Iooss, Didier Lucor, Angélique Ponçot. Iterative methods for improving error covariance modeling in variational assimilation. International Conference on Uncertainty Quantification in Computational Sciences and Engineering, M. Papadrakakis, V. Papadopoulos, G. Stefanou, Jun 2019, Crete, Greece. ⟨hal-02397315⟩