| Opportunities and challenges for machine learning in weather and climate modelling: hard, medium and soft AI M Chantry, H Christensen, P Dueben, T Palmer Philosophical Transactions of the Royal Society A 379 (2194), 20200083, 2021 | 154 | 2021 |
| A generative deep learning approach to stochastic downscaling of precipitation forecasts L Harris, ATT McRae, M Chantry, PD Dueben, TN Palmer Journal of Advances in Modeling Earth Systems 14 (10), e2022MS003120, 2022 | 128 | 2022 |
| Patterns in wall-bounded shear flows LS Tuckerman, M Chantry, D Barkley Annual Review of Fluid Mechanics 52 (1), 343-367, 2020 | 111 | 2020 |
| Weatherbench 2: A benchmark for the next generation of data‐driven global weather models S Rasp, S Hoyer, A Merose, I Langmore, P Battaglia, T Russell, ... Journal of Advances in Modeling Earth Systems 16 (6), e2023MS004019, 2024 | 103 | 2024 |
| Machine learning emulation of gravity wave drag in numerical weather forecasting M Chantry, S Hatfield, P Dueben, I Polichtchouk, T Palmer Journal of Advances in Modeling Earth Systems 13 (7), e2021MS002477, 2021 | 101 | 2021 |
| Universal continuous transition to turbulence in a planar shear flow M Chantry, LS Tuckerman, D Barkley Journal of Fluid Mechanics 824, R1, 2017 | 99 | 2017 |
| Genesis of streamwise-localized solutions from globally periodic traveling waves in pipe flow M Chantry, AP Willis, RR Kerswell Physical review letters 112 (16), 164501, 2014 | 68 | 2014 |
| Building tangent‐linear and adjoint models for data assimilation with neural networks S Hatfield, M Chantry, P Dueben, P Lopez, A Geer, T Palmer Journal of Advances in Modeling Earth Systems 13 (9), e2021MS002521, 2021 | 67 | 2021 |
| Challenges and benchmark datasets for machine learning in the atmospheric sciences: Definition, status, and outlook PD Dueben, MG Schultz, M Chantry, DJ Gagne, DM Hall, A McGovern Artificial Intelligence for the Earth Systems 1 (3), e210002, 2022 | 64 | 2022 |
| The rise of data-driven weather forecasting: A first statistical assessment of machine learning–based weather forecasts in an operational-like context Z Ben Bouallègue, MCA Clare, L Magnusson, E Gascón, M Maier-Gerber, ... Bulletin of the American Meteorological Society 105 (6), E864-E883, 2024 | 55 | 2024 |
| The rise of data-driven weather forecasting: A first statistical assessment of machine learning-based weather forecasts in an operational-like context ZB Bouallègue, MCA Clare, L Magnusson, E Gascon, M Maier-Gerber, ... Bulletin of the American Meteorological Society 105 (6), E864-E883, 2024 | 54 | 2024 |
| Turbulent–laminar patterns in shear flows without walls M Chantry, LS Tuckerman, D Barkley Journal of Fluid Mechanics 791, R8, 2016 | 47 | 2016 |
| AIFS--ECMWF's data-driven forecasting system S Lang, M Alexe, M Chantry, J Dramsch, F Pinault, B Raoult, MCA Clare, ... arXiv preprint arXiv:2406.01465, 2024 | 39 | 2024 |
| Climate modeling in low precision: Effects of both deterministic and stochastic rounding EA Paxton, M Chantry, M Klöwer, L Saffin, T Palmer Journal of Climate 35 (4), 1215-1229, 2022 | 39 | 2022 |
| Scale-selective precision for weather and climate forecasting M Chantry, T Thornes, T Palmer, P Düben Monthly Weather Review 147 (2), 645-655, 2019 | 36 | 2019 |
| Accelerating high-resolution weather models with deep-learning hardware S Hatfield, M Chantry, P Düben, T Palmer Proceedings of the platform for advanced scientific computing conference, 1-11, 2019 | 31 | 2019 |
| Choosing the optimal numerical precision for data assimilation in the presence of model error S Hatfield, P Düben, M Chantry, K Kondo, T Miyoshi, T Palmer Journal of Advances in Modeling Earth Systems 10 (9), 2177-2191, 2018 | 31 | 2018 |
| RainBench: Towards data-driven global precipitation forecasting from satellite imagery CS de Witt, C Tong, V Zantedeschi, D De Martini, A Kalaitzis, M Chantry, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 14902 …, 2021 | 30 | 2021 |
| Deep learning and a changing economy in weather and climate prediction P Bauer, P Dueben, M Chantry, F Doblas-Reyes, T Hoefler, A McGovern, ... Nature Reviews Earth & Environment 4 (8), 507-509, 2023 | 25 | 2023 |
| Improving medium-range ensemble weather forecasts with hierarchical ensemble transformers ZB Bouallègue, JA Weyn, MCA Clare, J Dramsch, P Dueben, M Chantry Artificial Intelligence for the Earth Systems 3 (1), e230027, 2024 | 23 | 2024 |
Peter DuebenRoyal Society University Research Fellow at the European Weather Centre (ECMWF)Verifierad e-postadress på ecmwf.int