| Combining distribution‐based neural networks to predict weather forecast probabilities MCA Clare, O Jamil, C Morcrette Quarterly Journal of the Royal Meteorological Society 147 (741), 2021 | 27 | 2021 |
| Explainable Artificial Intelligence for Bayesian Neural Networks: Towards trustworthy predictions of ocean dynamics MCA Clare, M Sonnewald, R Lguensat, J Deshayes, V Balaji Journal of Advances in Modeling Earth Systems 14 (11), e2022MS003162, 2022 | 23 | 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 Gascon, M Maier-Gerber, ... Bulletin of the American Meteorological Society, 2024 | 20 | 2024 |
| Hydro-morphodynamics 2D modelling using a discontinuous Galerkin discretisation MCA Clare, JR Percival, A Angeloudis, CJ Cotter, MD Piggott Computers & Geosciences 146, 104658, 2021 | 18 | 2021 |
| Assessing erosion and flood risk in the coastal zone through the application of multilevel Monte Carlo methods MCA Clare, MD Piggott, CJ Cotter Coastal Engineering 174, 104118, 2022 | 13 | 2022 |
| 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 | 11 | 2024 |
| Calibration, inversion and sensitivity analysis for hydro-morphodynamic models through the application of adjoint methods MCA Clare, SC Kramer, CJ Cotter, MD Piggott Computers & Geosciences 163, 105104, 2022 | 9* | 2022 |
| Multi-scale hydro-morphodynamic modelling using mesh movement methods MCA Clare, J Wallwork, SC Kramer, H Weller, CJ Cotter, M Piggott GEM-International Journal on Geomathematics 13 (1), 1--39, 2022 | 7 | 2022 |
| Multilevel multifidelity Monte Carlo methods for assessing uncertainty in coastal flooding MCA Clare, TWB Leijnse, RT McCall, FLM Diermanse, CJ Cotter, ... Natural Hazards and Earth System Sciences 22 (8), 2491-2515, 2022 | 6* | 2022 |
| Bayesian neural networks for the probabilistic forecasting of wind direction and speed using ocean data MCA Clare, MD Piggott Trends in Renewable Energies Offshore, 533-540, 2022 | 5 | 2022 |
| An examination of ex ante fund performance: identifying indicators of future performance A Clare, M Clare Journal of Asset Management 20, 175-195, 2019 | 2 | 2019 |
| Accelerated wind farm yaw and layout optimisation with multi-fidelity deep transfer learning wake models SJ Anagnostopoulos, J Bauer, MCA Clare, MD Piggott Renewable Energy 218, 119293, 2023 | 1 | 2023 |
| Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning W Yik, M Sonnewald, MCA Clare, R Lguensat arXiv preprint arXiv:2310.13916, 2023 | 1 | 2023 |
| Discovering Dominant Controls on Southern Ocean Dynamics Under Climate Change: New Knowledge Through Physics-Guided Machine Learning M Sonnewald, W Yik, MCA Clare, R Lguensat EGU24, 2024 | | 2024 |
| Testing the use of deep learning techniques for emulating regional reanalysis A Pérez, M Santa Cruz, J Diez-Sierra, M Chantry, A Horányi, M Clare, ... EGU24, 2024 | | 2024 |
| AIFS–ECMWF’s Data-Driven Probabilistic Forecasting ZB Bouallegue, M Alexe, M Chantry, M Clare, J Dramsch, S Lang, ... EGU24, 2024 | | 2024 |
| An unsupervised learning approach for predicting wind farm power and downstream wakes using weather patterns MCA Clare, SC Warder, R Neal, B Bhaskaran, MD Piggott Journal of Advances in Modeling Earth Systems 16 (2), e2023MS003947, 2024 | | 2024 |
| AIFS–ECMWF’s Data-Driven Probabilistic Forecasting System M Chantry, M Alexe, S Lang, B Raoult, J Dramsch, F Pinault, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| Using a Bayesian Neural Network approach to analyze the uncertainty on Oxygen Forecast in the Southern Ocean G Navarra, C Merchant, M Sonnewald, M Clare, GA Vecchi, CA Deutsch AGU23, 2023 | | 2023 |
| Creating skillful and reliable probabilistic forecasts using machine learning M Clare, T Haiden EMS2023, 2023 | | 2023 |
Matthew PiggottProfessor, Earth Science and Engineering, Imperial College LondonVerified email at imperial.ac.uk
