An ensemble-based approach that combines machine learning and numerical models to improve forecasts of wave conditions
- Yushan Zhang
- Scott C. James
- et al.
- 2017
- OCEANS 2017
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12 results for Scott C. James
Deployment and parametrisation of couplec hydrodynamic and wave models
- Fearghal O'Donncha
- Scott C. James
- 2017
- OCEANS 2017 Aberdeen
Deploying and optimizing performance of a 3D hydrodynamic model on cloud
- Fearghal O'Donncha
- Srikumar Venugopal
- et al.
- 2016
- OCEANS 2016
Calibration of a 3D hydrodynamic aquaculture model
- Scott C. James
- Fearghal O'Donncha
- et al.
- 2016
- OCEANS 2016
On the Efficiency of Executing Hydro-environmental Models on Cloud
- Fearghal O'Donncha
- Emanuele Ragnoli
- et al.
- 2016
- HIC 2016
Parallelisation of hydro-environmental model for simulating marine current devices
- Fearghal O'Donncha
- Scott C. James
- et al.
- 2015
- OCEANS 2015
Numerical modelling study of the effects of suspended aquaculture farms on tidal stream energy generation
- Fearghal O'Donncha
- Scott C. James
- et al.
- 2015
- OCEANS 2015 Genova
Ensemble model aggregation using a computationally lightweight machine-learning model to forecast ocean waves
- Fearghal O'Donncha
- Yushan Zhang
- et al.
- 2019
- Journal of Marine Systems
Drag coefficient parameter estimation for aquaculture systems
- Scott C. James
- Fearghal O'Donncha
- 2019
- Environmental Fluid Mechanics
An integrated framework that combines machine learning and numerical models to improve wave-condition forecasts
- Fearghal O'Donncha
- Yushan Zhang
- et al.
- 2018
- Journal of Marine Systems