Deep learning climate model parameterizations
Learning subgrid physics from high-resolution simulations.
Sugar, Flower, Fish or Gravel
Bringing crowd-sourcing and deep learning together to understand cloud patterns.
Neural network weather post-processing
Improving NWP output with modern machine learning techniques.
Stochastic parameterizations in km-scale models
How to best represent convection in the gray zone.