Articles | Volume 13, issue 1
https://doi.org/10.5194/esurf-13-1-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-13-1-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Jan 2025
Research article |
| 02 Jan 2025
| 02 Jan 2025
Examination of analytical shear stress predictions for coastal dune evolution
Coastal and Hydraulics Laboratory, US Army Engineer Research and Development Center, 3909 Halls Ferry Road, Vicksburg, MS 39180, USA
Nicholas Cohn
Coastal and Hydraulics Laboratory, US Army Engineer Research and Development Center, 1261 Duck Road, Duck, NC 27949, USA
Matthew Farthing
Coastal and Hydraulics Laboratory, US Army Engineer Research and Development Center, 3909 Halls Ferry Road, Vicksburg, MS 39180, USA
Sourav Dutta
Coastal and Hydraulics Laboratory, US Army Engineer Research and Development Center, 3909 Halls Ferry Road, Vicksburg, MS 39180, USA
Oden Institute for Computational Engineering and Sciences, University of Texas at Austin, 201 E. 24th Street, Austin, TX 78712, USA
Andrew Trautz
Geotechnical and Structures Laboratory, US Army Engineer Research and Development Center, 3909 Halls Ferry Road, Vicksburg, MS 39180, USA
Related authors
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Pei Zhang, Brandon L. Edwards, John A. Gillies, George Nikolich, Andrew Trautz, Brandi Wheeler, and Nancy P. Ziegler
EGUsphere, https://doi.org/10.5194/egusphere-2026-1635, https://doi.org/10.5194/egusphere-2026-1635, 2026
This preprint is open for discussion and under review for Earth Surface Dynamics (ESurf).
Short summary
Short summary
Plants help protect drylands from wind erosion, but wind can accelerate along plant sides, increasing erosion risk. We measured ground-level wind forces around a shrub over two years and found stronger spatial variability than previously reported, with substantial changes over time. Wind effects along plant sides did not depend on wind speed but varied with plant growth stage. Including these patterns can improve predictions of erosion and dust emission.
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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.
Using computational fluid dynamics, we analyze the error trends of an analytical shear stress...
