Articles | Volume 13, issue 1
https://doi.org/10.5194/esurf-13-1-2025
https://doi.org/10.5194/esurf-13-1-2025
Research article
 | 
02 Jan 2025
Research article |  | 02 Jan 2025

Examination of analytical shear stress predictions for coastal dune evolution

Orie Cecil, Nicholas Cohn, Matthew Farthing, Sourav Dutta, and Andrew Trautz

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Cited articles

Araújo, A. D., Parteli, E. J. R., Pöschel, T., Andrade, J. S., and Herrmann, H. J.: Numerical modeling of the wind flow over a transverse dune, Sci. Rep., 3, 2858, https://doi.org/10.1038/srep02858, 2013. a, b, c
Atwood-Stone, C. and McEwen, A. S.: Avalanche slope angles in low-gravity environments from active Martian sand dunes, Geophys. Res. Lett., 40, 2929–2934, https://doi.org/10.1002/grl.50586, 2013. a
Bagnold, R. A.: The transport of sand by wind, The Geographical Journal, 89, 409–438, https://doi.org/10.2307/1786411, 1937. a
Bakarji, J., Champion, K., Nathan Kutz, J., and Brunton, S. L.: Discovering governing equations from partial measurements with deep delay autoencoders, P. R. Soc. A, 479, 20230422, https://doi.org/10.1098/rspa.2023.0422, 2023. a
Bauer, B. O. and Wakes, S. J.: CFD simulations of wind flow across scarped foredunes: Implications for sediment pathways and beach–dune recovery after storms, Earth Surf. Proc. Land., 47, 2989–3015, https://doi.org/10.1002/esp.5439, 2022. a, b
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Short summary
Using computational fluid dynamics, we analyze the error trends of an analytical shear stress distribution model used to drive aeolian transport for coastal dunes, which are an important line of defense against storm-related flooding hazards. We find that compared to numerical simulations, the analytical model results in a net overprediction of the landward migration rate. Additionally, two data-driven approaches are proposed for reducing the error while maintaining computational efficiency.