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Troy Arcomano
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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
1362020
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
802020
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
552022
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
29*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
Geophysical Research Letters 50 (8), e2022GL102649, 2023
202023
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
52024
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
52023
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, 117442, 2024
22024
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
12020
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
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
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
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
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
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
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
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
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