Fearghal O'Donncha  Fearghal O         

contact information

Research Staff Member
Ireland Research Lab, Dublin, Ireland
  +353dash01dash8269241

links

Professional Associations

Professional Associations:  International Association for Mathematical Geosciences

more information

More information:  Engineers Ireland


2021

Transfer learning to improve streamflow forecasts in data sparse regions
Roland Oruche, Lisa Egede, Tracy Baker, Fearghal O'Donncha
2021
Abstract

A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales
Yihao Hu, Fearghal O'Donncha, Paulito Palmes, Meredith Burke, Ramon Filgueira, Jon Grant
2021
Abstract

Data Driven Insight Into Fish Behaviour and Their Use for Precision Aquaculture
Fearghal O'Donncha, Caitlin L. Stockwell, Sonia Rey Planellas, Giulia Micallef, Paulito Palmes, Chris Webb, Ramon Filgueira, Jon Grant
Frontiers in Animal Science2, Frontiers Media SA, 2021
Abstract

Deployment and Management of Time Series Forecasts in Ocean Industry
Fearghal O'Donncha, Albert Akhriev, Bradley Eck, Meredith Burke, Ramon Filgueira, Jon Grant
IEEE International Conference on Big Data, 2021


2020

Precision Aquaculture
Fearghal O'Donncha, Jon Grant
IEEE Internet of Things Magazine 2(4), 26--30, Institute of Electrical and Electronics Engineers (IEEE), 2020

Statistical and machine learning ensemble modelling to forecast sea surface temperature
Stefan Wolff, Fearghal O'Donncha, Bei Chen
Journal of Marine Systems 208(103347), 2020
Abstract

Using deep learning to extend the range of air pollution monitoring and forecasting
Philipp Hähnel, Jakub Mareÿ ek, Julien Monteil, Fearghal O'Donncha
Journal of Computational Physics408, 109278, Academic Press Inc., 2020
Abstract


2019

Drag coefficient parameter estimation for aquaculture systems
Scott C James, Fearghal O'Donncha
Environmental Fluid Mechanics, 1--15, Springer Netherlands, 2019

Ensemble model aggregation using a computationally lightweight machine-learning model to forecast ocean waves
Fearghal Oÿ Donncha, Yushan Zhang, Bei Chen, Scott C James
Journal of Marine Systems199, 103206, Elsevier, 2019

Localised sequential state estimation for advection dominated flows with non-Gaussian uncertainty description
Emanuele Ragnoli, Mykhaylo Zayats, Fearghal O'Donncha, Sergiy Zhuk
Journal of Computational Physics387, 356--375, Academic Press, 2019


2018

Scaling up deep learning for PDE-based models
Philipp Haehnel, Jakub Marecek, Julien Monteil, Fearghal O'Donncha
arXiv preprint arXiv:1810.09425, 2018

A Machine-learning Ensemble Approach to Improve Wave-condition Forecasts
Scott James, Fearghal O'Donncha, Yushan Zhang
EGU General Assembly Conference Abstracts, pp. 23, 2018

A localised data assimilation framework within the ÿ AllScaleÿ parallel development environment
Albert Akhriev, Fearghal Oÿ Donncha, Philipp Gschwandtner, Herbert Jordan
OCEANS 2018 MTS/IEEE Charleston, pp. 1--7

An integrated framework that combines machine learning and numerical models to improve wave-condition forecasts
Fearghal Oÿ Donncha, Yushan Zhang, Bei Chen, Scott C James
Journal of Marine Systems186, 29--36, Elsevier, 2018

Surrogate modeling and risk-based analysis for solute transport simulations
Ernesto Arandia, Fearghal Oÿ Donncha, Sean McKenna, Seshu Tirupathi, Emanuele Ragnoli
Stochastic Environmental Research and Risk Assessment, 1--15, Springer Berlin Heidelberg, 2018

A machine learning framework to forecast wave conditions
Scott C James, Yushan Zhang, Fearghal O'Donncha
Coastal Engineering137, 1--10, Elsevier, 2018


2017

Improving wave forecasting by integrating ensemble modelling and machine learning
Fearghal O'Donncha, Y Zhang, SC James
AGU Fall Meeting Abstracts, 2017

A Machine LearningFramework to Forecast Wave Conditions
Y Zhang, SC James, F O'Donncha
AGU Fall Meeting Abstracts, 2017

An ensemble-based approach that combines machine learning and numerical models to improve forecasts of wave conditions
Yushan Zhang, Scott C James, Fearghal O'Donncha
OCEANS 2017-Anchorage, pp. 1--7

Deployment and parametrisation of coupled hydrodynamic and wave models
Fearghal O'Donncha, Scott C James
OCEANS 2017-Aberdeen, pp. 1--6

Modelling study of the effects of suspended aquaculture installations on tidal stream generation in Cobscook Bay
Fearghal O'Donncha, Scott C James, Emanuele Ragnoli
Renewable Energy102, 65--76, Pergamon, 2017


2016

Calibration of a 3D hydrodynamic aquaculture model
Scott C James, Fearghal O'Donncha, David R Plew
OCEANS 2016 MTS/IEEE Monterey, pp. 1--7

Deploying and optimizing performance of a 3D hydrodynamic model on cloud
Fearghal O'Donncha, Srikumar Venugopal, Scott C James, Emanuele Ragnoli
OCEANS 2016 MTS/IEEE Monterey, pp. 1--7

On the efficiency of executing hydro-environmental models on cloud
Fearghal O’Donncha, Emanuele Ragnoli, Srikumar Venugopal, Scott C James, Kostas Katrinis
Procedia Engineering154, 199--206, Elsevier, 2016


2015

Parallelisation of hydro-environmental model for simulating marine current devices
Fearghal O'Donncha, Scott C James, Noreen O'Brien, Emanuele Ragnoli
OCEANS 2015-MTS/IEEE Washington, pp. 1--7

Parameterizing suspended canopy effects in a three-dimensional hydrodynamic model
Fearghal O'Donncha, Michael Hartnett, David R Plew
Journal of Hydraulic Research 53(6), 714--727, Taylor \& Francis, 2015

A multiple layer modelling approach to investigate the effects of tidal turbine deployment
Noreen O'Brien, Fearghal O'Donncha, Emanuele Ragnoli
OCEANS 2015-Genova, pp. 1--6

Numerical modelling study of the effects of suspended aquaculture farms on tidal stream energy generation
Fearghal O'Donncha, Scott C James, Noreen O'Brien, Emanuele Ragnoli
OCEANS 2015-Genova, pp. 1--7

Characterizing observed circulation patterns within a bay using HF radar and numerical model simulations
Fearghal O’Donncha, Michael Hartnett, Stephen Nash, Lei Ren, Emanuele Ragnoli
Journal of Marine Systems142, 96--110, Elsevier, 2015


2014

Thermoclinic assessment of a preliminary circulation model for lake george in the jefferson project
Emanuele Ragnoli, Fearghal O Donncha, Jeffrey W Short, Imad A Hannoun, Sandra A Nierzwicki-Bauer, Lloyd A Treinish, Anthony P Priano, Charles W Boylen
2014

Assessment and quantification of HF radar uncertainty
Fearghal O'Donncha, Sean McKenna, Teresa Updyke, Hugh Roarty, Emanuele Ragnoli
2014 Oceans-St. John's, pp. 1--10

Parallelisation study of a three-dimensional environmental flow model
Fearghal O'Donncha, Emanuele Ragnoli, Frank Suits
Computers \& Geosciences64, 96--103, Pergamon, 2014

Numerical model of circulation and residence times in the Persian Gulf
Fearghal O'Donncha, Emanuele Ragnoli
EGU General Assembly Conference Abstracts, 2014


2013

A 3D Optimal Interpolation Assimilation Scheme of HF Radar Current Data into a Numerical Ocean Model
Emanuele Ragnoli, Sergiy Zhuk, Fearghal O Donncha, Frank Suits, Michael Hartnett
EGU General Assembly Conference Abstracts, 2013

Uncertainty analysis of numerical model simulations and HFR measurements during high energy events
Fearghal O Donncha, Emanuele Ragnoli, Frank Suits, Teresa Updyke, Hugh Roarty
EGU General Assembly Conference Abstracts, 2013

Physical and numerical investigation of the hydrodynamic implications of aquaculture farms
Fearghal O’Donncha, Michael Hartnett, Stephen Nash
Aquacultural engineering52, 14--26, Elsevier, 2013


2012

Physical and numerical modelling of impeded tidal flows: Effects of aquaculture structures on hydrodynamics and material transport
Fearghal O Donohue
Ph.D. Thesis, 2012

Characterizing ocean gyres formation within a bay using vorticity and hf radar measurements
E Ragnoli, FO Donncha, M Hartnett
EGU General Assembly Conference Abstracts, pp. 10684, 2012

Surface flow dynamics within an exposed wind-driven bay: Combined HF radar observations and model simulations
Fearghal O'Donncha, Emanuele Ragnoli, Sergiy Zhuk, Frank Suits, Michael Hartnett
2012 Oceans, pp. 1--8

An optimal interpolation scheme for assimilation of HF radar current data into a numerical ocean model
Emanuele Ragnoli, Fearghal O'Donncha, Sergiy Zhuk, Frank Suits, Michael Hartnett
Oceans, 2012, pp. 1--5