Large-eddy simulation dataset for the publication: "Accelerated Bayesian calibration and uncertainty quantification of RANS turbulence model parameters for stratified atmospheric boundary layer flows"

This large-eddy simulation dataset comprises 90 samples of 10-minute time-averaged profiles of atmospheric boundary layer statistics under three stability regimes: (1) truly neutral boundary layer (TNBL), (2) weakly stable boundary layer (SBLW), and (3) moderately stable boundary layer (SBLM). The simulations were performed using the incompressible flow solver PadeOps (https://github.com/Howland-Lab/PadeOps.git). The dataset is accompanied by a plotting script that (1) visualizes the vertical profiles of mean wind speed, wind direction, and turbulence kinetic energy, and (2) computes the sample skewness and kurtosis of these quantities to evaluate their deviation from Gaussianity. Content consist of: FOLDER FILE NAME DESCRIPTION ./plots plot_les_data.m MATLAB code to plot mean wind speed, wind direction and turbulence kinetic energy, and evaluate deviation of statistics from Gaussianity apply_style.m MATLAB code to improve plot visuals ./data sblm_samples_10min.mat 10-min time-averaged statistics of moderately stable boundary layer flow sblw_samples_10min.mat 10-min time-averaged statistics of weakly stable boundary layer flow tnbl_samples_10min.mat 10-min time-averaged statistics of truly neutral boundary layer flow