The Summer School will comprise five main lectures:

  • Lecture 1 --> Introduction to spatial oceanography (data acquisition, overview, problematic)
  • Lecture 2 --> Visualization tools for multi-sensor spatio-temporal remote sensing data
  • Lecture 3 --> Focus on satellite salinity (acquisition, problematic, synergy with altimetry)
  • Lecture 4 --> Physical modeling (surface quasi-geostrophy, Lagrangian methods)
  • Lecture 5 --> Data assimilation methods (state-space models, Ensemble Kalman Filter)

Each lecture will include both a theoretical course and a practical session with applications to multi-sensor remote sensing or physical simulation datasets. A poster session will provide opportunities for the participants to introduce and discuss their research interests with the other participants and the speakers.