Python code for automating the computation of goodness-of-fit metrics between numerical simulation and experimental data

This Python code automates the computation of four different data analysis metrics to evaluate the goodness-of-fit between numerical simulation output and experimental data. Originally developed to be employed by Lovatto and Petry (2023) to assess the numerical velocity components in the near wake of a wind turbine model rotor tested experimentally by Boorsma et al. (2018) in the "New MEXICO" campaign. *See the README file for more details.*Associated repository: https://github.com/ViniciusBrSc/velocity_metrics