2025
Balogh, B., D. Saint-Martin, and O. Geoffroy, 2025: Online Test of a Neural Network Deep Convection Parameterization in ARP-GEM1. Artif. Intell. Earth Syst., https://doi.org/10.1175/AIES-D-24-0100.1, in press.
2022
Balogh, B., Saint-Martin, D., & Ribes, A. (2022). How to calibrate a dynamical system with neural network based physics ? Geophysical Research Letters, 49, e2022GL097872. https://doi.org/10.1029/2022GL097872
2021
Balogh, B., Saint-Martin, D., & Ribes, A. (2021). A toy model to investigate stability of AI-based dynamical systems. Geophysical Research Letters, 48, e2020GL092133. https://doi.org/10.1029/2020GL092133
Presentations & Conferences
2025
Balogh, B., Germain, H., Geoffroy, O. and Saint-Martin, D.: Climate Simulations with Online Neural Network-based Parameterization of Deep Convection: present and +4K. EXCLAIM! Symposium, Zürich, Swiss, 2-4 June 2025. Event website: https://exclaim-symposium.ethz.ch/ .
2024
Balogh, B., Saint-Martin, D., Geoffroy, O., Bhouri, M. A., and Gentine, P. : Assessment of ARPEGE-Climat using a neural network convection parameterization based upon data from SPCAM 5, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-7455, https://doi.org/10.5194/egusphere-egu24-7455, 2024.
2022
Balogh, B., Saint-Martin, D., and Ribes, A. : How to calibrate a climate model with neural network based physics ?, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7135, https://doi.org/10.5194/egusphere-egu22-7135, 2022.
2021
Balogh, B., Saint-Martin, D., and Ribes, A. : A toy model to investigate stability of AI-based dynamical systems, EGU General Assembly 2021, online, 19–30 Apr 2021, EGU21-647, https://doi.org/10.5194/egusphere-egu21-647, 2021.
