• Data assimilation as a learning tool to infer ordinary differential equation representations of dynamical models 

      Bocquet, Marc; Brajard, Julien; Carrassi, Alberto; Bertino, Laurent (Peer reviewed; Journal article, 2019)
      Recent progress in machine learning has shown how to forecast and, to some extent, learn the dynamics of a model from its output, resorting in particular to neural networks and deep learning techniques. We will show how ...
    • Data assimilation using adaptive, non-conservative, moving mesh models 

      Aydogdu, Ali; Carrassi, Alberto; Guider, Colin T.; Jones, Chris K.R.T.; Rampal, Pierre (Peer reviewed; Journal article, 2019)
      Numerical models solved on adaptive moving meshes have become increasingly prevalent in recent years. Motivating problems include the study of fluids in a Lagrangian frame and the presence of highly localized structures ...
    • Derivation of Boussinesq's shoaling law using a coupled BBM system 

      Kalisch, Henrik; Senthilkumar, Amutha (Peer reviewed; Journal article, 2013-03-14)
      This paper is focused on finding rules for waveheight change in a solitary wave as it runs up a slowly increasing bottom. A coupled BBM system is used to describe the solitary waves. Expressions for energy density and ...