Uncertainty Quantification of a Machine Learning Subgrid-Scale Parameterization for Atmospheric Gravity Waves
Published in in review (preprint available at ESS Open Archive), 2024
Citation: Mansfield, L.A. & Sheshadri, A., Uncertainty Quantification of a Machine Learning Subgrid-Scale Parameterization for Atmospheric Gravity Waves. ESS Open Archive . February 28, 2024. doi:10.22541/essoar.170914524.42466387/v1
This research uses ensembles of neural networks to quantify uncertainties arising from machine learning gravity wave subgrid-scale parameterizations. You can find a preprint here.