Modeling the effects of surface waves on the atmospheric boundary layer
Abstract/Contents
- Abstract
- The interaction between wind and water waves is an important process that has broad influences on coastal and offshore phenomena across many scales. A thorough understanding of wind-wave interactions is critical for accurate marine weather predictions, climate modeling and offshore engineering applications. Most previous modeling studies used idealized wind and wave conditions. To study wind-wave interactions in real-world scenarios, it is crucial to employ a model that can simulate realistic meteorological and wave conditions. The Weather Research and Forecasting (WRF) model is widely used for numerical weather predictions and capable of large-eddy simulations (LES). While WRF can incorporate realistic meteorological conditions into the simulations, it can only simulate the atmospheric boundary layer (ABL) over stationary terrain. In this dissertation work, we implemented a moving bottom boundary condition into WRF-LES to enable wind-wave coupling. We validated the code using idealized test cases with analytical solutions for laminar flow with and without viscosity. For turbulent flows, we compared results from WRF over different monochromatic moving waves and achieved satisfactory agreement with the literature. Next, we extended the ability of WRF to simulate the ABL over broadband waves generated from empirical wave spectra, and studied the effects of wave propagating direction and the width of spreading on wind turbulence. We found that the wave propagating direction has significant influences on the pressure drag and the wave growth rate, while the wave spreading width plays a smaller role. In the future, more realistic conditions such as temperature stratification and moisture can be added to WRF to further investigate the influence of water surface waves on the ABL.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2023; ©2023 |
| Publication date | 2023; 2023 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Zhu, Peiyun |
|---|---|
| Degree supervisor | Fringer, Oliver (Oliver Bartlett) |
| Thesis advisor | Fringer, Oliver (Oliver Bartlett) |
| Thesis advisor | Gorle, Catherine |
| Thesis advisor | Thomas, Leif N |
| Degree committee member | Gorle, Catherine |
| Degree committee member | Thomas, Leif N |
| Associated with | Stanford University, School of Engineering |
| Associated with | Stanford University, Civil & Environmental Engineering Department |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Peiyun Zhu. |
|---|---|
| Note | Submitted to the Civil & Environmental Engineering Department. |
| Thesis | Thesis Ph.D. Stanford University 2023. |
| Location | https://purl.stanford.edu/fw295nr6858 |
Access conditions
- Copyright
- © 2023 by Peiyun Zhu
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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