Supporting Data for Mechanistic study of shoaling effect on momentum transfer between turbulent flow and traveling wave using large-eddy simulation

Hao, Xuanting
Cao, Tao
Shen, Lian
2019-11-04
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https://doi.org/10.13020/6swg-jz81
 https://hdl.handle.net/11299/208648
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Supporting Data for Mechanistic study of shoaling effect on momentum transfer between turbulent flow and traveling wave using large-eddy simulation

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2019-11-04

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University of Minnesota St. Anthony Falls Laboratory

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Xuanting, Hao
haoxx081@umn.edu

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Simulation Data

Abstract

The data are results of the large-eddy simulation of wind turbulence over monochromatic waves propagating in coastal and oceanic waters, described in the paper by Hao, Cao, and Shen "Mechanistic study of shoaling effect on momentum transfer between turbulent flow and traveling wave using large-eddy simulation " (published in Physical Review Fluids).

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Simulation data used for figures in 'Mechanistic study of wave shoaling effect on wind-wave momentum flux using large-eddy simulation', including the mean velocity profiles, the turbulent variance profiles, the wave-coherent velocity and pressure field, etc

Referenced by

Hao, X., Cao, T., & Shen, L. (2021). Mechanistic study of shoaling effect on momentum transfer between turbulent flow and traveling wave using large-eddy simulation. Physical Review Fluids, 6(5), 054608.
https://doi.org/10.1103/PhysRevFluids.6.054608

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Attribution-NonCommercial-ShareAlike 3.0 United States
 http://creativecommons.org/licenses/by-nc-sa/3.0/us/

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Data Repository for U of M (DRUM)

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This research is supported by the Office of Naval Research as part of the Coastal Air–Sea Process and Electromagnetic Research (CASPER) project under its Multidisciplinary University Research Initiative (MURI) program managed by Dr. Daniel Eleuterio and Dr. Steven Russell, and the Coastal Land–Air–Sea Interactions (CLASI) project managed by Dr. Reginald Beach.

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Hao, Xuanting; Cao, Tao; Shen, Lian. (2019). Supporting Data for Mechanistic study of shoaling effect on momentum transfer between turbulent flow and traveling wave using large-eddy simulation. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/6swg-jz81.

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Readme.txt
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WindWaveDataFiles.zip
Wind Wave Data Files (8 .xlsx files)
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ArchivalCopyWindWaveData.zip
Archival Copy Wind Wave Data (67 .csv and HTML files)
(14.35 MB)

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