| Predicting global patterns of long-term climate change from short-term simulations using machine learning LA Mansfield, PJ Nowack, M Kasoar, RG Everitt, WJ Collins, ... npj Climate and Atmospheric Science 3 (1), 44, 2020 | 78 | 2020 |
| A study of the effect of aerosols on surface ozone through meteorology feedbacks over China Y Qu, A Voulgarakis, T Wang, M Kasoar, C Wells, C Yuan, S Varma, ... Atmospheric Chemistry and Physics 21 (7), 5705-5718, 2021 | 34 | 2021 |
| Updates on Model Hierarchies for Understanding and Simulating the Climate System: A Focus on Data‐Informed Methods and Climate Change Impacts LA Mansfield, A Gupta, AC Burnett, B Green, C Wilka, A Sheshadri Journal of Advances in Modeling Earth Systems 15 (10), e2023MS003715, 2023 | 10 | 2023 |
| Calibration and uncertainty quantification of a gravity wave parameterization: A case study of the quasi‐biennial oscillation in an intermediate complexity climate model LA Mansfield, A Sheshadri Journal of Advances in Modeling Earth Systems 14 (11), e2022MS003245, 2022 | 10 | 2022 |
| Generative diffusion-based downscaling for climate RA Watt, LA Mansfield arXiv preprint arXiv:2404.17752, 2024 | 6 | 2024 |
| „Predicting global patterns of long-term climate change from short-term simulations using machine learning “, npj Clim Atmos Sci 3, 44 (2020) LA Mansfield, PJ Nowack, M Kasoar | 6 | |
| Uncertainty quantification of a machine learning subgrid‐scale parameterization for atmospheric gravity waves LA Mansfield, A Sheshadri Journal of Advances in Modeling Earth Systems 16 (7), e2024MS004292, 2024 | 3 | 2024 |
| CalibrateEmulateSample. jl: Accelerated Parametric Uncertainty Quantification R Oliver, M Bieli, A Garbuno-Iñigo, M Howland, AN de Souza, ... Journal of Open Source Software 9 (97), 6372, 2024 | 2 | 2024 |
| Bayesian history matching applied to the calibration of a gravity wave parameterization RC King, LA Mansfield, A Sheshadri Journal of Advances in Modeling Earth Systems 16 (4), e2023MS004163, 2024 | 1 | 2024 |
| Bayesian History Matching applied to the calibration of a gravity wave parameterization RC King, LA Mansfield, A Sheshadri Authorea Preprints, 2023 | 1 | 2023 |
| Data-Driven Science: Developments in Machine Learning Subgrid-Scale Parameterizations and in Reanalyses Across Earth System Modeling II Poster S Driscoll, S Shamekh, A Kumar, A Sane, L Mansfield, MG Bosilovich, ... AGU24, 2024 | | 2024 |
| Comparing the efficiency of calibration methods on a hierarchy of problems R King, L Mansfield, A Sheshadri AGU24, 2024 | | 2024 |
| A Comparison of Calibration Methods Applied to Atmospheric Gravity Wave Parameterizations RC King, L Mansfield, A Sheshadri 24th Conference on Atmospheric & Oceanic Fluid Dynamics & 22nd Conference on …, 2024 | | 2024 |
| Machine Learning Subgrid-Scale Parameterizations for Earth System Modeling II Poster L Mansfield, LM Yang, AS Bodner AGU23, 2023 | | 2023 |
| Uncertainty Quantification of a Machine Learning Gravity Wave Parameterization L Mansfield, A Sheshadri AGU Fall Meeting Abstracts 2023 (681), NG41C-0681, 2023 | | 2023 |
| Utilizing Bayesian History Matching for the calibration of a gravity wave parameterization R King, L Mansfield, A Sheshadri AGU Fall Meeting Abstracts 2023 (685), NG41C-0685, 2023 | | 2023 |
| Extracting Gravity Waves from a Multi-year Global High Resolution Simulation using Spectral Filters LM Yang, L Mansfield, L Köhler AGU Fall Meeting Abstracts 2023 (672), NG41C-0672, 2023 | | 2023 |
| Non-local Machine Learning-based Gravity Wave Parameterization trained on an O (1 km) Resolution Global Climate Model A Gupta, A Sheshadri, L Mansfield EGU23, 2023 | | 2023 |
| Data-Driven Subgrid-Scale Parameterizations for Earth System Modeling II Online Poster Discussion L Mansfield, A Sane, O Dunbar, LM Yang Fall Meeting 2022, 2022 | | 2022 |
| Data-Driven Subgrid-Scale Parameterizations for Earth System Modeling I Oral LM Yang, O Dunbar, A Sane, L Mansfield Fall Meeting 2022, 2022 | | 2022 |