| 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 | 122 | 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 | 73 | 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 | 38 | 2022 |
| 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 | 10 | 2023 |
| Scaling transformer neural networks for skillful and reliable medium-range weather forecasting T Nguyen, R Shah, H Bansal, T Arcomano, S Madireddy, R Maulik, ... arXiv preprint arXiv:2312.03876, 2023 | 5 | 2023 |
| 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 Authorea Preprints, 2022 | 3 | 2022 |
| 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 | 1 | 2023 |
| 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 |
| Scaling Transformers for Skillful and Reliable Medium-range Weather Forecasting T Nguyen, R Shah, H Bansal, T Arcomano, S Madireddy, R Maulik, ... ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024 | | 2024 |
| 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, D Kuhl, M Herrera, K Hoppel, E Satterfield, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| Applications of a Foundation Model Approach for Weather and Climate T Arcomano, A Wikner, R Maulik, VR Kotamarthi, S Foreman AGU23, 2023 | | 2023 |
| 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, I Szunyogh, T Arcomano 103rd AMS Annual Meeting, 2023 | | 2023 |
| 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 Modeling Approach to Predict the Atmospheric State by Blending Numerical Modeling and Machine Learning TJ Arcomano, I Szunyogh, B Hunt, E Ott 100th American Meteorological Society Annual Meeting, 2020 | | 2020 |
| Evaluation of Tropical Cyclone Relocation on Operational NCEP GFS/GDAS TJ Arcomano, DT Kleist, CR Martin 98th American Meteorological Society Annual Meeting, 2018 | | 2018 |
| Texas A&M University J Dickey, S Jorgensen, DA Leathe, T Arcomano 102nd American Meteorological Society Annual Meeting, 0 | | |
