Dunbar, Oliver
- Lopez-Gomez, Ignacio and Christopoulos, Costa, el al. (2022) Training physics-based machine-learning parameterizations with gradient-free ensemble Kalman methods; 10.1002/essoar.10510937.2
- Bieli, Melanie and Dunbar, Oliver R. A., el al. (2022) An efficient Bayesian approach to learning droplet collision kernels: Proof of concept using "Cloudy", a new n-moment bulk microphysics scheme; 10.1002/essoar.10510248.1
- Dunbar, Oliver R. A. and Howland, Michael F., el al. (2022) Ensemble-Based Experimental Design for Targeted High-Resolution Simulations to Inform Climate Models; 10.1002/essoar.10510142.1
