Mean Turbulence Statistics from Large-Eddy Simulations of Steady Stably Stratified Boundary Layers with Subsidence

<p>The dataset contains a suite of Large-Eddy Simulation (LES) results of steady stably stratified boundary layers under influence of large-scale subsidence. The simulation are driven by a geostrophic wind, have a fixed surface temperature and a linear subsidence velocity profile. Three different sets of simulations parameters sweeps are considered, while all other input variables are constant: one set with varying subsidence rate, (i.e. the gradient of the linear subsidence profile), one with different buoyancy numbers (i.e. surface temperatures) and one with varying surface Rossby numbers (i.e. surface roughness). In addition, three simulations that were run with a finer computational grid are included. </p>
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All simulations were run until a true statistically steady state was reached, after which turbulence statistics were collected over a period of approximately 12.5 hours (=2<span>ℼ</span>f<sub>c</sub>, a full inertial period). The steady-state is characterized by a thermal equilibrium, where the
surface heat flux is equal to the total heating due to subsidence. The repository includes time-averaged global flow properties and horizontally averaged profiles, as well as timeseries of some bulk flow quantities. The dataset is generated with the SP-Wind code, an in-house DNS/LES code developed at KU Leuven. For details of the code structure and simulation set-up we refer to Bon et al. (2024).
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The repository is organized as follows. A total of 17 simulations is included, and each has a separate folder. Each folder contains horizontally-averaged profiles of relevant variables in profiles_cc.csv (variables on cell-centered grid) and profiles_st.csv (vertical derivatives on staggered grid), and timeseries from the full simulation.
An overview of the mean flow properties of each simulation is provided in the file Simulation_Overview.csv, which also includes relevant input parameters such as domain size and grid resolution. Fore more information, we refer to the README.txt file located in the dataset and to the related publication. A few python scripts that can be used to read and plot the data in a similar way as in Bon et al. (2024) are also present.
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Acknowledgements
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The authors acknowledge support from the Research Foundation Flanders (FWO, Grant Number G098320N). The computational resources and services used in this work were provided by the VSC (Flemish Supercomputer Center), funded by the Research Foundation – Flanders (FWO) and the Flemish Government.
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References
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Bon, T., Cal, R.B., Meyers, J. (2024). Stable Boundary Layers with Subsidence: Scaling and Similarity of the Steady State, Boundary-Layer Meteorology, https://doi.org/10.1007/s10546-024-00882-w
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