Agenda and minutes of Melody’s meeting, October 2020

• Meeting agenda and actions planned (last slide): pdf

• WP1: Representation Learning and Geophysical Dynamics
  • Hugo Frezat. Physical invariance in neural networks for subgrid-scale scalar flux modeling. pdf
  • Eugene Kazantsev. Subgrid scales and NNs. pdf
  • Said Ouala. Representation Learning for Partially-Observed Systems. pdf
  • Patrick Gallinari. Physics-informed learning
• WP2: Leaning and Geophysical Extremes
  • Paul Platzer. Analog data assimilation of 1D extremes. pdf
  • Philippe Naveau. KL measures for extremes
• WP3: Learning and Data Assimilation
  • R. Fablet. 4DVarNN: Joint learning of 4DVar models and solvers pdf
  • D. Nguyen. Variational Deep learning for stochastic and chaotic dynamics. pdf
  • M. Beauchamp. 4DVarNet applied to the space-time interpolation of altimetry data. pdf
• WP4: Melody’s Case Studies and Sandbox
  • J. Le Sommer. Objective and postioning of WP4. pdf
  • M. Beauchamp. Data challenge framework for along-track nadir and SWOT data. repo on git
  • R. Lguensat. Case study on Filtering tide-generated internal waves using CNNs. pdf repo on git

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