Mariana C A Clare
Cited by
Cited by
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
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
Hydro-morphodynamics 2D modelling using a discontinuous Galerkin discretisation
MCA Clare, JR Percival, A Angeloudis, CJ Cotter, MD Piggott
Computers & Geosciences 146, 104658, 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
The rise of data-driven weather forecasting
Z Ben-Bouallegue, MCA Clare, L Magnusson, E Gascon, M Maier-Gerber, ...
arXiv preprint arXiv:2307.10128, 2023
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
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
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
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
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
An examination of ex ante fund performance: identifying indicators of future performance
A Clare, M Clare
Journal of Asset Management 20, 175-195, 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
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
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
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
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
Creating skillful and reliable probabilistic forecasts using machine learning
M Clare, T Haiden
EMS2023, 2023
Combining Bayesian Neural Networks with explainable AI techniques for trustworthy probabilistic post-processing
M Clare, Z Ben Bouallegue, M Chantry, M Leutbecher, T Haiden
EGU General Assembly Conference Abstracts, EGU-946, 2023
Advanced numerical and statistical techniques to assess erosion and flood risk in coastal zones
MCA Clare
Imperial College London, 2022
Using Multilevel Monte Carlo methods with XBeach to assess erosion/flood risk in the coastal zone
M Clare, C Cotter, MD Piggott
AGU Fall Meeting Abstracts 2020, NG002-0002, 2020
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