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June 10, 2024
Online Learning of Entrainment Closures in a Hybrid Machine Learning Parameterization
Costa Christopoulos, Ignacio Lopez-Gomez, Tom Beucler, et al.
May 06, 2024
High-Dimensional Covariance Estimation From a Small Number of Samples
Matthias Morzfeld, David N. Vishny, Kyle Gwirtz, et al.
June 22, 2022
Training physics-based machine-learning parameterizations with gradient-free ensemble...
Ignacio Lopez-Gomez, Costa D Christopoulos, Haakon Ludvig Langeland Ervik, et al.
January 21, 2022
An efficient Bayesian approach to learning droplet collision kernels: Proof of concep...
Melanie Bieli, Oliver Dunbar, Emily K De Jong, et al.
July 29, 2021
Parameter uncertainty quantification in an idealized GCM with a seasonal cycle
Michael F. Howland, Oliver Dunbar, Tapio Schneider, et al.
January 13, 2022
Ensemble-Based Experimental Design for Targeted High-Resolution Simulations to Inform...
Oliver Dunbar, Michael F. Howland, Tapio Schneider, et al.
December 28, 2020
Calibration and Uncertainty Quantification of Convective Parameters in an Idealized G...
Oliver Dunbar, Tapio Schneider, Andrew Stuart, et al.