| The role of latent heating in atmospheric blocking dynamics: a global climatology D Steinfeld, S Pfahl Climate Dynamics 53 (9), 6159-6180, 2019 | 101 | 2019 |
| The sensitivity of atmospheric blocking to upstream latent heating–numerical experiments D Steinfeld, M Boettcher, R Forbes, S Pfahl Weather and Climate Dynamics 1 (2), 405-426, 2020 | 52 | 2020 |
| The sensitivity of atmospheric blocking to upstream latent heating–numerical experiments, Weather Clim. Dynam., 1, 405–426 D Steinfeld, M Boettcher, R Forbes, S Pfahl | 15 | 2020 |
| Response of moist and dry processes in atmospheric blocking to climate change D Steinfeld, M Sprenger, U Beyerle, S Pfahl Environmental Research Letters 17 (8), 084020, 2022 | 12 | 2022 |
| The role of atmospheric blocking in regulating arctic warming C You, M Tjernström, A Devasthale, D Steinfeld Geophysical Research Letters 49 (12), e2022GL097899, 2022 | 12 | 2022 |
| Downscaling of historical wind fields over Switzerland using generative adversarial networks O Miralles, D Steinfeld, O Martius, AC Davison Artificial Intelligence for the Earth Systems 1 (4), e220018, 2022 | 9 | 2022 |
| Large‐Scale Drivers of Persistent Extreme Weather During Early Summer 2021 in Europe A Tuel, D Steinfeld, SM Ali, M Sprenger, O Martius Geophysical Research Letters 49 (18), e2022GL099624, 2022 | 9 | 2022 |
| Assessing the performance of various fire weather indices for wildfire occurrence in Northern Switzerland D Steinfeld, A Peter, O Martius, S Brönnimann EGUsphere 2022, 1-23, 2022 | 4 | 2022 |
| What caused the unseasonal extreme dust storm in Uzbekistan during November 2021? X Xi, D Steinfeld, SM Cavallo, J Wang, J Chen, K Zulpykharov, ... Environmental research letters 18 (11), 114029, 2023 | 1 | 2023 |
| The role of latent heating in atmospheric blocking: climatology and numerical experiments D Steinfeld ETH Zurich, 2019 | 1 | 2019 |
| Deep-learning-based prediction of damages related to surface water floods for impact-based warning P Horton, M Mosimann, S Kaderli, O Martius, AP Zischg, D Steinfeld EGU24, 2024 | | 2024 |
| Using spatial extreme-value theory with machine learning to model and understand spatially compounding extremes J Koh, D Steinfeld, O Martius arXiv preprint arXiv:2401.12195, 2024 | | 2024 |
| The sensitivity of atmospheric blocking to changes in upstream latent heating S Pfahl, D Steinfeld, M Boettcher, R Forbes EGU General Assembly Conference Abstracts, 17897, 2020 | | 2020 |
| The sensitivity of atmospheric blocking to changes in latent heating D Steinfeld, M Boettcher, R Forbes, S Pfahl EGU General Assembly Conference Abstracts, 2975, 2018 | | 2018 |
| 5REQUEST FOR A SPECIAL PROJECT 2018–2020 H Wernli, R Attinger, D Steinfeld, E Spreitzer | | 2017 |
| The sensitivity of atmospheric blocking to changes in upstream latent heating D Steinfeld, M Boettcher, R Forbes, S Pfahl | | |
| Author response to referee comments in manuscript wcd-2020-5:“The sensitivity of atmospheric blocking to changes in upstream latent heating–numerical experiments” D Steinfeld, M Boettcher, R Forbes, S Pfahl | | |
