Levin, Jon; Pacala, Steve et al. (2023) Extreme Weather Risk in a Changing Climate: Enhancing prediction and protecting communities
De Jong, Emily K.; Bischoff, Tobias et al. (2022) Spanning the Gap from Bulk to Bin: A Novel Spectral Microphysics Method
Lopez-Gomez, Ignacio; Christopoulos, Costa et al. (2022) Training physics-based machine-learning parameterizations with gradient-free ensemble Kalman methods
Bieli, Melanie; Dunbar, Oliver R. A. et al. (2022) An efficient Bayesian approach to learning droplet collision kernels: Proof of concept using "Cloudy", a new n-moment bulk microphysics scheme
Dunbar, Oliver R. A.; Howland, Michael F. et al. (2022) Ensemble-Based Experimental Design for Targeted High-Resolution Simulations to Inform Climate Models
He, Jia; Cohen, Yair et al. (2020) An Improved Perturbation Pressure Closure for Eddy-Diffusivity Mass-Flux Schemes
Singer, Clare E.; Lopez-Gomez, Ignacio et al. (2020) Top-of-atmosphere albedo bias from neglecting three-dimensional radiative transfer through clouds
Schneider, Tapio; Stuart, Andrew M. et al. (2020) Ensemble Kalman Inversion for Sparse Learning of Dynamical Systems from Time-Averaged Data arXiv;
Schneider, Tapio; Stuart, Andrew M. et al. (2020) Learning Stochastic Closures Using Ensemble Kalman Inversion arXiv;