Machine Learning for Ocean Closures - Advances and Lessons - Laure Zanna - Climate-C21
Kavli Institute for Theoretical Physics via YouTube
Overview
Syllabus
Intro
Climate Dynamicism
Grid Size
Mathematical Models
Current Climate Models
Why are we here
What are we doing
Ocean Model
Finding a Filter
Methods
Learning Subgrid Closures
Learning Turbulent Closures
The Good News
Retraining the Model
Strong Extremes
Boundary Conditions
Predictions vs Truth
Missing forcing
Field of view
Online Model
Stochastic Parameters
Global Kinetic Energy
Learning probabilistically
Learning equations
Learning new physics
Kinetic energy
Summary
Questions
Zoom
Vertical Fluxes
Decomposers
Taught by
Kavli Institute for Theoretical Physics