| 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 | 56 | 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 | 25 | 2021 |
| 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 | 7 | 2022 |
| Uncertainty Quantification of a Machine Learning Subgrid-Scale Parameterization for Atmospheric Gravity Waves LA Mansfield, A Sheshadri Authorea Preprints, 2024 | 1 | 2024 |
| 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 | 1 | 2023 |
| Generative Diffusion-based Downscaling for Climate RA Watt, LA Mansfield arXiv preprint arXiv:2404.17752, 2024 | | 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 | | 2024 |
| Uncertainty Quantification of a Machine Learning Gravity Wave Parameterization L Mansfield, A Sheshadri AGU23, 2023 | | 2023 |
| Utilizing Bayesian History Matching for the calibration of a gravity wave parameterization R King, L Mansfield, A Sheshadri AGU23, 2023 | | 2023 |
| Extracting Gravity Waves from a Multi-year Global High Resolution Simulation using Spectral Filters LM Yang, L Mansfield, L Köhler AGU23, 2023 | | 2023 |
| Machine Learning Subgrid-Scale Parameterizations for Earth System Modeling I Oral L Mansfield, LM Yang, AS Bodner AGU23, 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 |
| Using Gravity Wave Resolving Simulations to Inform Subgrid Scale Parameterizations L Mansfield, A Sheshadri AGU Fall Meeting Abstracts 2022, A15I-1359, 2022 | | 2022 |
| Calibration and Uncertainty Quantification of Gravity Wave Parameterization in an Intermediate Complexity Climate Model LA Mansfield, A Sheshadri Authorea Preprints, 2022 | | 2022 |
| Machine learning, emulation and Bayesian dimension reduction for climate change projection L Mansfield University of Reading, 2021 | | 2021 |
| Predicting climate model response to changing emissions L Mansfield, P Nowack, A Voulgarakis EGU General Assembly Conference Abstracts, EGU21-15944, 2021 | | 2021 |
| 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 & Physics Discussions, 2020 | | 2020 |
| Can we predict global patterns of long-term climate change from short-term simulations? L Mansfield, P Nowack, M Kasoar, R Everitt, W Collins, A Voularakis EGU General Assembly Conference Abstracts, 13963, 2020 | | 2020 |
Apostolos VoulgarakisTechnical University of CreteVerified email at chenveng.tuc.gr
