| A machine learning‐based global atmospheric forecast model T Arcomano, I Szunyogh, J Pathak, A Wikner, BR Hunt, E Ott Geophysical Research Letters 47 (9), e2020GL087776, 2020 | 147 | 2020 |
| Combining machine learning with knowledge-based modeling for scalable forecasting and subgrid-scale closure of large, complex, spatiotemporal systems A Wikner, J Pathak, B Hunt, M Girvan, T Arcomano, I Szunyogh, ... Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (5), 2020 | 87 | 2020 |
| A hybrid approach to atmospheric modeling that combines machine learning with a physics‐based numerical model T Arcomano, I Szunyogh, A Wikner, J Pathak, BR Hunt, E Ott Journal of Advances in Modeling Earth Systems 14 (3), e2021MS002712, 2022 | 71 | 2022 |
| Scaling transformer neural networks for skillful and reliable medium-range weather forecasting T Nguyen, R Shah, H Bansal, T Arcomano, R Maulik, R Kotamarthi, ... Advances in Neural Information Processing Systems 37, 68740-68771, 2024 | 50* | 2024 |
| A hybrid atmospheric model incorporating machine learning can capture dynamical processes not captured by its physics‐based component T Arcomano, I Szunyogh, A Wikner, BR Hunt, E Ott Geophysical Research Letters 50 (8), e2022GL102649, 2023 | 29 | 2023 |
| Lucie: A lightweight uncoupled climate emulator with long-term stability and physical consistency for o (1000)-member ensembles H Guan, T Arcomano, A Chattopadhyay, R Maulik arXiv preprint arXiv:2405.16297, 2024 | 15 | 2024 |
| Deepspeed4science initiative: Enabling large-scale scientific discovery through sophisticated ai system technologies SL Song, B Kruft, M Zhang, C Li, S Chen, C Zhang, M Tanaka, X Wu, ... arXiv preprint arXiv:2310.04610, 2023 | 13 | 2023 |
| Divide and conquer: Learning chaotic dynamical systems with multistep penalty neural ordinary differential equations D Chakraborty, SW Chung, T Arcomano, R Maulik Computer Methods in Applied Mechanics and Engineering 432, 117442, 2024 | 6 | 2024 |
| Exploring the Potential of Hybrid Machine-Learning/Physics-Based Modeling for Atmospheric/Oceanic Prediction Beyond the Medium Range D Patel, T Arcomano, B Hunt, I Szunyogh, E Ott arXiv preprint arXiv:2405.19518, 2024 | 1 | 2024 |
| Hybrid weather prediction: a blend of machine learning and numerical modeling T Arcomano, I Szunyogh, E Ott, B Hunt, A Wikner AGU Fall Meeting Abstracts 2020, A056-01, 2020 | 1 | 2020 |
| CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints X Wang, J Yang, J Adie, S See, K Furtado, C Chen, T Arcomano, R Maulik, ... arXiv preprint arXiv:2502.13185, 2025 | | 2025 |
| LUCIE: A Lightweight Uncoupled ClImate Emulator with long-term stability and physical consistency for O (1000)-member ensembles A Chattopadhyay, R Maulik, H Guan, T Arcomano Bulletin of the American Physical Society, 2024 | | 2024 |
| Withdrawn: Prototype Whole Atmosphere Global Numerical Weather Prediction System Based on a 0-500 km Extension of the Navy Global Environmental Model (NAVGEM) SD Eckermann, C Barton, DD Kuhl, M Herrera, K Hoppel, E Satterfield, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| Assessing a Technique for Integrated Data Assimilation and Machine Learning with a Hybrid Atmospheric Model I Szunyogh, D Elliott, AP Wikner, T Arcomano, B Hunt, E Ott 104th AMS Annual Meeting, 2024 | | 2024 |
| A Novel ML-based Approach for the Prediction of the Oceanic Heat Flux in a Slab Ocean Model Coupled to a Physics-Based Model of the Atmosphere ME Tsokatos | | 2024 |
| Applications of a Foundation Model Approach for Weather and Climate T Arcomano, A Wikner, R Maulik, VR Kotamarthi, S Foreman AGU Fall Meeting Abstracts 2023, GC22C-06, 2023 | | 2023 |
| An Assessment of the Performance of a Hybrid Modeling Approach That Combines Machine Learning (ML) with a Numerical Atmospheric General Circulation Model (AGCM) T Arcomano, I Szunyogh, AP Wikner, B Hunt, E Ott 102nd American Meteorological Society Annual Meeting, 2022 | | 2022 |
| Machine Learning Applications For Weather and Climate Modeling TJ Arcomano Texas A&M University, 2022 | | 2022 |
| Evaluation of a Hybrid Approach to Atmospheric Modeling that Combines Machine Learning with a General Circulation Model T Arcomano, I Szunyogh, A Wikner, J Pathak, B Hunt, E Ott AGU Fall Meeting Abstracts 2021, A15Q-08, 2021 | | 2021 |
| Evaluation of a Hybrid Machine Learning and Numerical Weather Prediction Model T Arcomano, I Szunyogh, E Ott, B Hunt, AP Wikner 101st American Meteorological Society Annual Meeting, 2021 | | 2021 |