| Distributions and convergence of forecast variables in a 1,000‐member convection‐permitting ensemble GC Craig, M Puh, C Keil, K Tempest, T Necker, J Ruiz, M Weissmann, ... Quarterly Journal of the Royal Meteorological Society 148 (746), 2325-2343, 2022 | 10 | 2022 |
| Physically based stochastic perturbations improve a high‐resolution forecast of convection M Puh, C Keil, C Gebhardt, C Marsigli, M Hirt, F Jakub, GC Craig Quarterly Journal of the Royal Meteorological Society 149 (757), 3582-3592, 2023 | 3 | 2023 |
| Summary and Recommendations from Working Group 1: model uncertainty representations in convection-permitting/shorter lead-time/limited-area ensembles B Plant, A Hally, SJ Lock, M Ahlgrimm, M Arpargus, W Bauer, C Cafaro, ... | 1 | 2022 |
| Multi-year cloud and precipitation statistics observed with remote sensors at the high-altitude Environmental Research Station Schneefernerhaus in the German Alps S Kneifel, B Pospichal, L von Terzi, T Zinner, M Puh, M Hagen, B Mayer, ... Meteorologische Zeitschrift 31 (1), 69-86, 2021 | 1 | 2021 |
| Flow‐and scale‐dependent spatial predictability of convective precipitation combining different model uncertainty representations T Matsunobu, M Puh, C Keil Quarterly Journal of the Royal Meteorological Society, 2024 | | 2024 |
| Interaction of Environmental Conditions and Vertical Transport in Deep Convection A Miltenberger, PM Kuntze, C Barthlott, T Matsunobu, M Puh, C Keil, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| The combined impact of model uncertainty on flow-dependent spatial predictability of convective precipitation T Matsunobu, C Keil, M Puh, C Gebhardt, C Marsigli EGU General Assembly Conference Abstracts, EGU-12517, 2023 | | 2023 |
| Representation of model uncertainty in the ICON-D2 EPS ensemble using a physically based stochastic perturbation scheme M Puh, C Keil, C Gebhardt, C Marsigli, M Hirt, F Jakub, GC Craig | | |
| Distributions of Forecast Variables in a Convective-scale 1000-member Ensemble M Puh | | |
