LES-DPM simulation dataset for oscillatory flow over a mobile, rippled bed
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This repository contains the output data files from the LES-DPM numerical model utilized for the analyses presented in DeVoe et al. (2025). Please note that the model is a coupled two-phase model and that this repository contains both the fluid and particle data, as well as the necessary files to convert data from their native binary format to ASCII format. The LES-DPM was developed by Hagan (2018) and validated by Hagan et al. (2023). Note: This dataset was generated using the model's governing equations and framework as presented by Hagan (2018) and Hagan et al. (2023), but is not the same dataset used for the analyses in those two manuscripts. This dataset has a higher sampling frequency (100 Hz) and a shorter duration than the datasets used in Hagan (2018) and Hagan et al. (2023). Please refer to the README and DeVoe et al. (2025) for additional information about the model parameters. * DeVoe, S. R., Wengrove, M. E., Foster, D. L., & Hagan, D. S. (2025). Characterization of the spatiotemporal distribution of shear stress and bedload flux within a mobile, rippled bed. Journal of Geophysical Research: Oceans. DOI: doi.org/10.29/2025JC022369
Citations (2)
- https://doi.org/10.1029/2025jc022369DataCite OpenAlex
Cited on 01 September 2025
Weight: 1.00
Cited on 14 September 2022
Weight: 1.00
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Publication Details
Subfield
Artificial Intelligence
Field
Computer Science
Domain
Physical Sciences
Confidence Score
67%
Source
Open Alex