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Classroom Contents
Machine Learning for Ocean Closures - Advances and Lessons - Laure Zanna - Climate-C21
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- 1 Intro
- 2 Climate Dynamicism
- 3 Grid Size
- 4 Mathematical Models
- 5 Current Climate Models
- 6 Why are we here
- 7 What are we doing
- 8 Ocean Model
- 9 Finding a Filter
- 10 Methods
- 11 Learning Subgrid Closures
- 12 Learning Turbulent Closures
- 13 The Good News
- 14 Retraining the Model
- 15 Strong Extremes
- 16 Boundary Conditions
- 17 Predictions vs Truth
- 18 Missing forcing
- 19 Field of view
- 20 Online Model
- 21 Stochastic Parameters
- 22 Global Kinetic Energy
- 23 Learning probabilistically
- 24 Learning equations
- 25 Learning new physics
- 26 Kinetic energy
- 27 Summary
- 28 Questions
- 29 Zoom
- 30 Vertical Fluxes
- 31 Decomposers
