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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)

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@misc{aconditionaltim-2026/3,
  title={A conditional time-invariant framework for probabilistic storm surge forecasting },
  author={Monahan T, Adcock T, Polton J & Roberts S},
  year = "2026"
}

Beach-scale tidal variations observed from satellite-derived shoreline time series

Hart-Davis M, Monahan T, Vos K & Andersen O (2026)

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@misc{beachscaletidal-2026/3,
  title={Beach-scale tidal variations observed from satellite-derived shoreline time series},
  author={Hart-Davis M, Monahan T, Vos K & Andersen O},
  year = "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

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@inproceedings{predictionoftid-2025/9,
  title={Prediction of tidal currents in the Inner Sound of the Pentland Firth using RTide},
  author={Monahan T, Tang T, Roberts S & Adcock T},
  booktitle={16th European Wave and Tidal Energy Conference (EWTEC 2025)},
  year = "2025"
}

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

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@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)

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@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"
}

First observations of the seiche that shook the world

Monahan T, Tang T, Roberts S & Adcock TAA (2024)

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@misc{firstobservatio-2024/11,
  title={First observations of the seiche that shook the world},
  author={Monahan T, Tang T, Roberts S & Adcock TAA},
  year = "2024"
}

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)

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@misc{tidalandmeansea-2024/7,
  title={Tidal and mean sea surface corrections from and for SWOT using a spatially coherent variational Bayesian harmonic analysis},
  author={Monahan T, Tang T, Roberts S & Adcock TAA},
  year = "2024"
}

A hybrid model for online short-term tidal energy forecasting

Monahan T, Tang T & Adcock TAA (2023), Applied Ocean Research, 137

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@article{ahybridmodelfor-2023/5,
  title={A hybrid model for online short-term tidal energy forecasting},
  author={Monahan T, Tang T & Adcock TAA},
  journal={Applied Ocean Research},
  volume={137},
  number={103596},
  publisher={Elsevier},
  year = "2023"
}

Enhancing Tidal Energy Forecasting Using Hybrid Online Machine Learning

Monahan T, Tang T & Adcock TAA (0)

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@misc{enhancingtidale-/,
  title={Enhancing Tidal Energy Forecasting Using Hybrid Online Machine Learning},
  author={Monahan T, Tang T & Adcock TAA}
}

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)

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@misc{aframeworkforea-/,
  title={A framework for early-stage coastal and estuarine tidal and mean sea surface correction from the Surface Water Ocean Topography mission},
  author={Monahan T, Tang T, Roberts S & Adcock T}
}

Response Framework: Tidal analysis and prediction through physics-informed ML

Monahan T, Tang T, Roberts S & Adcock T (0)

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@misc{responseframewo-/,
  title={Response Framework: Tidal analysis and prediction through physics-informed ML},
  author={Monahan T, Tang T, Roberts S & Adcock T}
}

Response Framework: Tidal analysis and prediction through physics-informed ML

Monahan T, Tang T, Roberts S & Adcock T (0)

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@misc{responseframewo-/,
  title={Response Framework: Tidal analysis and prediction through physics-informed ML},
  author={Monahan T, Tang T, Roberts S & Adcock T}
}

RTide: Automating the tidal response method

Monahan T, Tang T, Roberts S & Adcock T (0), Journal of Geophysical Research (JGR): Machine Learning

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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

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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)

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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)

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@misc{rtidemachinelea-/,
  title={RTide: Machine learning enhanced response method for the analysis and prediction of estuarine tides and storm surge},
  author={Monahan T, Tang T, Roberts S & Adcock T}
}

Response-based prediction of tidal currents

Monahan T, Tang T, Roberts S & Adcock T (0), Journal of Geophysical Research: Oceans

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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)

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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)

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@article{seismicobservat-/,
  title={Seismic observations and modelling of the August 2025 Tracy Arm, Alaska landslide, megatsunami, precursory seismicity, and seiche},
  author={Hicks S, Shugar D, Berdahl M, Caplan-Auerbach J, Ekström G et al.},
  journal={},
  publisher={Copernicus Publications}
}

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)

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@article{swotbasedspatio-/,
  title={SWOT-based spatiotemporal deep learning for reach-scale forecasting of river and reservoir stages in the Mekong},
  author={Liu Y, Moulds S, Wilby R, Bui D, Du T et al.},
  journal={},
  publisher={Copernicus Publications}
}

The second highest tsunami ever recorded

Shugar D, Barnhart K, Berdahl M, Caplan-Auerbach J, Ekström G et al. (0)

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@article{thesecondhighes-/,
  title={The second highest tsunami ever recorded},
  author={Shugar D, Barnhart K, Berdahl M, Caplan-Auerbach J, Ekström G et al.},
  journal={},
  publisher={Copernicus Publications}
}