| The role of latent heating in atmospheric blocking dynamics: a global climatology D Steinfeld, S Pfahl Climate Dynamics 53 (9), 6159-6180, 2019 | 138 | 2019 |
| The sensitivity of atmospheric blocking to changes in upstream latent heating–numerical experiments D Steinfeld, M Boettcher, R Forbes, S Pfahl Weather and Climate Dynamics Discussions 2020, 1-32, 2020 | 60 | 2020 |
| The role of atmospheric blocking in regulating Arctic warming C You, M Tjernström, A Devasthale, D Steinfeld Geophysical Research Letters 49 (12), e2022GL097899, 2022 | 25 | 2022 |
| 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 | 23 | 2022 |
| 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 | 20 | 2020 |
| 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 | 19 | 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 | 18 | 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 | 7 | 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 | 5 | 2023 |
| The role of latent heating in atmospheric blocking: climatology and numerical experiments D Steinfeld ETH Zurich, 2019 | 3 | 2019 |
| Using spatial extreme-value theory with machine learning to model and understand spatially compounding extremes J Koh, D Steinfeld, O Martius arXiv e-prints, arXiv: 2401.12195, 2024 | 1 | 2024 |
| 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 EGU General Assembly Conference Abstracts, 17543, 2024 | | 2024 |
| Recent Extreme Dust Storms in Central Asia Associated with Cold Air Outbreak and Drought X Xi, D Steinfeld, S Cavallo, J Wang, J Chen, G Henebry 104th AMS Annual Meeting, 2024 | | 2024 |
| Using spatial extreme-value theory with machine learning to model and understand spatially compounding weather extremes J Koh, D Steinfeld, O Martius arXiv preprint arXiv:2401.12195, 2024 | | 2024 |
| Response of physical processes in atmospheric blocking to climate change D Steinfeld, M Sprenger, U Beyerle, S Pfahl EXTREME WEATHER AND CLIMATE, 113, 2022 | | 2022 |
| Predicting risks of temperature extremes using large-scale circulation patterns with r–Pareto processes J Koh, D Steinfeld, O Martius, J Ziegel EXTREME WEATHER AND CLIMATE, 69, 2022 | | 2022 |
| 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 | | |