Mansfield, L.A., Nowack, P.J., Kasoar, M. et al. Predicting global patterns of long-term climate change from short-term simulations using machine learning. npj Clim Atmos Sci 3, 44 (2020).
Mansfield, L.A., Machine Learning, Emulation and Bayesian Dimension Reduction for Climate Change Projection, University of Reading, UK
Mansfield, L. A., & Sheshadri, A. (2022). Calibration and uncertainty quantification of a gravity wave parameterization: A case study of the Quasi-Biennial Oscillation in an intermediate complexity climate model. Journal of Advances in Modeling Earth Systems, 14, e2022MS003245.
Mansfield, L. A., Gupta, A., Burnett, A. C., Green, B., Wilka, C., & Sheshadri, A. (2023). Updates on model hierarchies for understanding and simulating the climate system: A focus on data-informed methods and climate change impacts. Journal of Advances in Modeling Earth Systems, 15, e2023MS003715.
King, R. C., Mansfield, L. A., & Sheshadri, A. (2024). Bayesian history matching applied to the calibration of a gravity wave parameterization. Journal of Advances in Modeling Earth Systems, 16, e2023MS004163.
Mansfield, L. A., & Sheshadri, A. (2024). Uncertainty quantification of a machine learning subgrid-scale parameterization for atmospheric gravity waves. Journal of Advances in Modeling Earth Systems, 16, e2024MS004292.
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at London School of Testing, London, UK
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA