| WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting S Rasp, PD Dueben, S Scher, JA Weyn, S Mouatadid, N Thuerey Journal of Advances in Modeling Earth Systems 12 (11), e2020MS002203, 2020 | 345 | 2020 |
| Toward Data‐Driven Weather and Climate Forecasting: Approximating a Simple General Circulation Model With Deep Learning S Scher Geophysical Research Letters 45 (22), 12,616-12,622, 2018 | 236 | 2018 |
| Predicting weather forecast uncertainty with machine learning S Scher, G Messori Quarterly Journal of the Royal Meteorological Society 144 (717), 2830-2841, 2018 | 174 | 2018 |
| Weather and climate forecasting with neural networks: using general circulation models (GCMs) with different complexity as a study ground S Scher, G Messori Geoscientific Model Development 12 (7), 2797-2809, 2019 | 146 | 2019 |
| How Global Warming Changes the Difficulty of Synoptic Weather Forecasting S Scher, G Messori Geophysical Research Letters 46 (5), 2931-2939, 2019 | 50 | 2019 |
| Ensemble Methods for Neural Network‐Based Weather Forecasts S Scher, G Messori Journal of Advances in Modeling Earth Systems 13, 2021 | 49 | 2021 |
| Generalization properties of feed-forward neural networks trained on Lorenz systems S Scher, G Messori Nonlinear Processes in Geophysics 26 (4), 381-399, 2019 | 47 | 2019 |
| Dynamics and predictability of cold spells over the Eastern Mediterranean A Hochman, S Scher, J Quinting, JG Pinto, G Messori Climate Dynamics 58 (7-8), 2047-2064, 2022 | 29 | 2022 |
| How Gulf-Stream SST-fronts influence Atlantic winter storms H de Vries, S Scher, R Haarsma, S Drijfhout, A van Delden Climate Dynamics 52 (9-10), 5899-5909, 2019 | 24 | 2019 |
| A new view of heat wave dynamics and predictability over the Eastern Mediterranean A Hochman, S Scher, J Quinting, JG Pinto, G Messori Earth System Dynamics 12 (1), 133-149, 2021 | 23 | 2021 |
| Machine learning based prediction of icing-related wind power production loss S Scher, J Molinder IEEE Access 7, 129421-129429, 2019 | 23 | 2019 |
| Probabilistic forecasting of wind turbine icing related production losses using quantile regression forests J Molinder, S Scher, E Nilsson, H Körnich, H Bergström, A Sjöblom Energies 14 (1), 158, 2020 | 15 | 2020 |
| Temporal disaggregation of spatial rainfall fields with generative adversarial networks S Scher, S Peßenteiner Hydrology and Earth System Sciences 25 (6), 3207-3225, 2021 | 12 | 2021 |
| Resolution dependence of extreme precipitation and deep convection over the Gulf Stream S Scher, RJ Haarsma, H De Vries, SS Drijfhout, AJ Van Delden Journal of Advances in Modeling Earth Systems 9 (2), 1186-1194, 2017 | 8 | 2017 |
| Robust worst-case scenarios from ensemble forecasts S Scher, S Jewson, G Messori Weather and forecasting 36 (4), 1357-1373, 2021 | 7 | 2021 |
| Modelling the long-term fairness dynamics of data-driven targeted help on job seekers S Scher, S Kopeinik, A Trügler, D Kowald Scientific Reports 13 (1), 1727, 2023 | 5 | 2023 |
| Artificial intelligence in weather and climate prediction: Learning atmospheric dynamics S Scher Department of Meteorology, Stockholm University, 2020 | 5 | 2020 |
| Robustness of Machine Learning Models Beyond Adversarial Attacks S Scher, A Trügler arXiv preprint arXiv:2204.10046, 2022 | 4 | 2022 |
| Decide now or wait for the next forecast? Testing a decision framework using real forecasts and observations S Jewson, S Scher, G Messori Monthly Weather Review 149 (6), 1637-1650, 2021 | 4 | 2021 |
| Spherical convolution and other forms of informed machine learning for deep neural network based weather forecasts S Scher, G Messori arXiv preprint arXiv:2008.13524, 2020 | 4 | 2020 |
