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  4. NEWTS1.0: Numerical model of coastal Erosion by Waves and Transgressive Scarps

NEWTS1.0: Numerical model of coastal Erosion by Waves and Transgressive Scarps

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sword-2024-11-26T14:04:05.original.xml (130 B)
Original SWORD entry document
Author(s)
Palermo, Rose V
•
Perron, J Taylor
•
Soderblom, Jason M
•
Birch, Samuel PD
•
Hayes, Alexander G
•
Ashton, Andrew D
Date Issued
2024
Journal
Geoscientific Model Development
Publisher
Copernicus GmbH
Citation
Palermo, R. V., Perron, J. T., Soderblom, J. M., Birch, S. P. D., Hayes, A. G., and Ashton, A. D.: NEWTS1.0: Numerical model of coastal Erosion by Waves and Transgressive Scarps, Geosci. Model Dev., 17, 3433–3445.
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Final published version
Abstract
Models of rocky-coast erosion help us understand the physical phenomena that control coastal morphology and evolution, infer the processes shaping coasts in remote environments, and evaluate risk from natural hazards and future climate change. Existing models, however, are highly complex, are computationally expensive, and depend on many input parameters; this limits our ability to explore planform erosion of rocky coasts over long timescales (thousands to millions of years) and over a range of conditions. In this paper, we present a simplified cellular model of coastline evolution in closed basins through uniform erosion and wave-driven erosion. Uniform erosion is modeled as a constant rate of retreat. Wave erosion is modeled as a function of fetch, the distance over which the wind blows to generate waves, and the angle between the incident wave and the shoreline. This reduced-complexity model can be used to evaluate how a detachment-limited coastal landscape reflects climate, sea-level history, material properties, and the relative influence of different erosional processes.
MIT Department
Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Joint Program in Oceanography
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Creative Commons Attribution
https://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/157677
DOI of Published Version
https://doi.org/10.5194/gmd-17-3433-2024
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