Uncertainty Quantification of a Machine Learning Parameterization
Published:
Machine learning parameterizations are becoming a popular technique for improving climate models. This work aims to learn the uncertainties associated with them.
Visualizations
Comparison of Calibration Methods for Gravity Wave Parameterization
Published:
Work led by Rob King to compare calibration and uncertainty quantification techniques for a gravity wave parameterization
Calibration and Uncertainty Quantification of Gravity Wave Parameterization
Published:
Visualizations of Calibrate, Emulate and Sample method used in Mansfield & Sheshadri, 2022.
Climate response emulator
Published:
A video of the emissions - response emulator built during my PhD.