Map-based stochastic simulation data of a transient Ekman boundary layer
<p><strong>Overview</strong><br> <br> A journal paper in Advances in Science and Research [1] details the numerical modeling approach used to create the data. Here, the model input files, the raw data, processed data, and plot scripts are provided that support the research.</p> <p>The code used here [2,3] is an extended version of the one-dimensional turbulence (ODT) model [4,5]. The current model implementation utilizes an adaptive grid that further increases numerical efficiency [6.7]. A truncated version of the adaptive ODT code of this work is described in [8] and publicly available free of charge in [9].</p> <p>The theoretical foundation and numerical as well as experimental evidence for this work is given in [10,11,12,13], and the main motivation in [14].</p> <p>The bash script makePlot.sh is the top-level driver and contains all additional information about the cases. Some other Details are provided by low-level README files. Python-3.8 is required to run the scripts.</p> <p><strong>References</strong></p> <p>[1] M. Klein, and H. Schmidt. Capturing features of turbulent Ekman–Stokes boundary layers<br> with a stochastic modeling approach. <em>Adv. Sci. Res,</em> <strong>20</strong>, 55–64, https://doi.org/10.5194/asr-20-55-2023, 2023.</p> <p>[2] M. Klein, and H. Schmidt. Exploring stratification effects in stable Ekman boundary layers using a stochastic one-dimensional turbulence model, <em>Adv. Sci. Res.</em>, <strong>19</strong>, 117–136, https://doi.org/10.5194/asr-19-117-2022, 2022.</p> <p>[3] M. Klein, and H. Schmidt. A stochastic modeling strategy for intermittently unstable Ekman—Stokes boundary layers, <em>Proc. Appl. Math. Mech.</em>, <strong>20</strong>, e202000127, https://doi.org/10.1002/pamm.202000127, 2020.</p> <p>[4] A. R. Kerstein. One-dimensional turbulence: Model formulation and application to homogeneous turbulence, shear flows, and buoyant stratified flows, <em>J. Fluid Mech.</em>, <strong>392</strong>, 277–334, https://doi.org/10.1017/S0022112099005376, 1999.</p> <p>[5] A. R. Kerstein, and S. Wunsch. _Simulation of a stably stratified atmospheric boundary layer using one-dimensional turbulence, <em>Boundary-Layer Meteorol.</em>, <strong>118</strong>, 325–356, https://doi.org/10.1007/s10546-005-9004-x, 2006.</p> <p>[6] D. O. Lignell, A. R. Kerstein, G. Sun, and E. T. Monson. Mesh adaption for efficient multiscale implementation of one-dimensional turbulence, <em>Theor. Comput. Fluid Dyn.</em>, <strong>27</strong>, 273–295, https://doi.org/10.1007/s00162-012-0267-9, 2013.</p> <p>[7] D. O. Lignell V. B. Lansinger, J. Medina, M. Klein A. R. Kerstein, H. Schmmidt, M. Fistler, and M. Oevermann. One-dimensional turbulence modeling for cylindrical and spherical flows: model formulation and application, <em>Theor. Comput. Fluid Dyn.</em>, <strong>32</strong>, 495–520, https://doi.org/10.1007/s00162-018-0465-1, 2018.</p> <p>[8] V. B. Stephens, and D. O. Lignell. One-dimensional turbulence (ODT): Computationally efficient modeling and simulation of turbulent flows, <em>Software X</em>, <strong>13</strong>, 100641, https://doi.org/10.1016/j.softx.2020.100641, 2021.</p> <p>[9] BYU Ignite. Adaptive ODT source code, https://github.com/BYUignite/ODT.</p> <p>[10] S. Salon, and V. Armenio. A numerical investigation of the turbulent Stokes–Ekman bottom boundary layer, <em>J. Fluid Mech.</em>, <strong>684</strong>, 316–352, https://doi.org/10.1017/jfm.2011.303, 2011.</p> <p>[11] M. Klein, T. Seelig, M. V. Kurgansky, A. Ghasemi V., I. D. Borcia, A. Will, E. Schaller, C. Egbers, and U. Harlander. Inertial wave excitation and focusing in a liquid bounded by a frustum and a cylinder, <em>J. Fluid Mech.</em>, <strong>751</strong>, 255–297, https://doi.org/10.1017/jfm.2014.304, 2014.</p> <p>[12] A. Ghasemi, M. Klein, A. Will, and U. Harlander. Mean flow generation by an intermittently unstable boundary layer over a sloping wall, <em>J. Fluid Mech.</em>, <strong>853</strong>, 111–149, https://doi.org/10.1017/jfm.2018.552, 2018.</p> <p>[13] M. Vincze, N. Fenyvesi, M. Klein, J. Sommeria, S. Viboud, and Y. Ashkenazy. Evidence for wind-induced Ekman layer resonance based on rotating tank experiments, <em>EPL</em>, <strong>125</strong>, 44001, https://doi.org/10.1209/0295-5075/125/44001, 2019.</p> <p>[14] L. S. Freire. Large-eddy simulation of the atmospheric boundary layer with near-wall resolved turbulence, <em>Boundary-Layer Meteorol.</em>, <strong>184</strong>, 25–43, https://doi.org/https://doi.org/10.1007/s10546-022-00702-z, 2022.</p> <p> </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4