| Non-intrusive reduced order modeling of nonlinear problems using neural networks JS Hesthaven, S Ubbiali Journal of Computational Physics 363, 55-78, 2018 | 500 | 2018 |
| Kilometer-scale climate models: Prospects and challenges C Schär, O Fuhrer, A Arteaga, N Ban, C Charpilloz, S Di Girolamo, ... Bulletin of the American Meteorological Society 101 (5), E567-E587, 2020 | 139 | 2020 |
| Kilometer-scale climate models: Prospects and challenges, B. Am. Meteorol. Soc., 101, E567–E587 C Schär, O Fuhrer, A Arteaga, N Ban, C Charpilloz, S Di Girolamo, ... | 28* | 2020 |
| A Numerical Analysis of Six Physics‐Dynamics Coupling Schemes for Atmospheric Models S Ubbiali, C Schär, L Schlemmer, TC Schulthess Journal of Advances in Modeling Earth Systems 13 (11), e2020MS002377, 2021 | 9 | 2021 |
| Reduced order modeling of nonlinear problems using neural networks S Ubbiali Italy, 2017 | 1 | 2017 |
| A Comprehensive Approach to Process Coupling in Atmospheric Models: Theory, Software, and Applications S Ubbiali ETH Zurich, 2021 | | 2021 |
| A numerical analysis of six physics-dynamics coupling schemes for atmospheric models (2021) S Ubbiali, C Schär, L Schlemmer, TC Schulthess | | 2021 |
| A Python-based approach to the physics-dynamics coupling in atmospheric models. S Ubbiali, C Schär, L Schlemmer, W Sawyer, TC Schulthess Geophysical Research Abstracts 21, 2019 | | 2019 |
