Showing 14 publications by Thomas Monahan
Prediction of tidal currents in the Inner Sound of the Pentland Firth using RTide
Monahan T, Tang T, Roberts S & Adcock T (2025), Proceedings of the European Wave and Tidal Energy Conference 2025, 16
RTide: a machine learning enabled implementation of Munk andCartwright’s response method
Monahan T, Tang T, Roberts S & Adcock T (2025), Proceedings of PRIMaRE 2025, 4
BibTeX
@inproceedings{rtideamachinele-2025/7,
title={RTide: a machine learning enabled implementation of Munk andCartwright’s response method},
author={Monahan T, Tang T, Roberts S & Adcock T},
booktitle={12th PRIMaRE conference 2025},
pages={4},
year = "2025"
}
Tidal corrections from and for SWOT using a spatially coherent variational Bayesian harmonic analysis
Monahan T, Tang T, Roberts S & Adcock T (2025), Journal of Geophysical Research: Oceans, 130(3)
BibTeX
@article{tidalcorrection-2025/3,
title={Tidal corrections from and for SWOT using a spatially coherent variational Bayesian harmonic analysis},
author={Monahan T, Tang T, Roberts S & Adcock T},
journal={Journal of Geophysical Research: Oceans},
volume={130},
number={e2024JC021533},
publisher={American Geophysical Union},
year = "2025"
}
A hybrid model for online short-term tidal energy forecasting
Monahan T, Tang T & Adcock TAA (2023), Applied Ocean Research, 137
A framework for early-stage coastal and estuarine tidal and mean sea surface correction from the Surface Water Ocean Topography mission
Monahan T, Tang T, Roberts S & Adcock T (0)
RTide: Automating the tidal response method
Monahan T, Tang T, Roberts S & Adcock T (0), Journal of Geophysical Research (JGR): Machine Learning
BibTeX
@article{rtideautomating-/,
title={RTide: Automating the tidal response method},
author={Monahan T, Tang T, Roberts S & Adcock T},
journal={Journal of Geophysical Research (JGR): Machine Learning}
}
Observations of the seiche that shook the world
Monahan T, Tang T, Roberts S & Adcock T (0), Nature Communications
BibTeX
@article{observationsoft-/,
title={Observations of the seiche that shook the world},
author={Monahan T, Tang T, Roberts S & Adcock T},
journal={Nature Communications},
publisher={Nature Research (part of Springer Nature)}
}
Enhancing tidal analysis and prediction using physics informed machine learning
Monahan T, Tang T, Roberts S & Adcock TAA (0)
BibTeX
@inproceedings{enhancingtidala-/,
title={Enhancing tidal analysis and prediction using physics informed machine learning},
author={Monahan T, Tang T, Roberts S & Adcock TAA},
booktitle={Young Coastal Scientists and Engineers 2024 (YCSEC 2024)}
}
RTide: Machine learning enhanced response method for the analysis and prediction of estuarine tides and storm surge
Monahan T, Tang T, Roberts S & Adcock T (0)
Response-based prediction of tidal currents
Monahan T, Tang T, Roberts S & Adcock T (0), Journal of Geophysical Research: Oceans
BibTeX
@article{responsebasedpr-/,
title={Response-based prediction of tidal currents},
author={Monahan T, Tang T, Roberts S & Adcock T},
journal={Journal of Geophysical Research: Oceans},
publisher={Wiley}
}