Showing 21 publications by Thomas Monahan
A conditional time-invariant framework for probabilistic storm surge forecasting
Monahan T, Adcock T, Polton J & Roberts S (2026)
Beach-scale tidal variations observed from satellite-derived shoreline time series
Hart-Davis M, Monahan T, Vos K & Andersen O (2026)
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"
}
Tidal and mean sea surface corrections from and for SWOT using a spatially coherent variational Bayesian harmonic analysis
Monahan T, Tang T, Roberts S & Adcock TAA (2024)
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}
}
Spatiotemporal tidal prediction and analysis through physics-informed machine learning
Monahan T (0)
BibTeX
@misc{spatiotemporalt-/,
title={Spatiotemporal tidal prediction and analysis through physics-informed machine learning},
author={Monahan T}
}
Seismic observations and modelling of the August 2025 Tracy Arm, Alaska landslide, megatsunami, precursory seismicity, and seiche
Hicks S, Shugar D, Berdahl M, Caplan-Auerbach J, Ekström G et al. (0)
SWOT-based spatiotemporal deep learning for reach-scale forecasting of river and reservoir stages in the Mekong
Liu Y, Moulds S, Wilby R, Bui D, Du T et al. (0)
The second highest tsunami ever recorded
Shugar D, Barnhart K, Berdahl M, Caplan-Auerbach J, Ekström G et al. (0)