Can IR images of the water surface be used to quantify the energy spectrum and the turbulent kinetic energy dissipation rate?

The bulk of the dataset is a direct numerical simulation (DNS) of an open channel flow with a shear-free surface. The DNS includes scalar, velocity, and divergence fields over 181 realizations. From the scalar field, another vector field was generated by a method called feature image velocimetry that successively cross-correlates the scalar fields to derive the underlying velocity field. The two velocity fields are then compared by their spectra, one from the DNS and the other derived from the scalar field., , The scripts included in the dataset are usable with matlab. Besides some of the plotting, it should be functional with octave., # Can IR images of the water surface be used to quantify the energy spectrum and the turbulent kinetic energy dissipation rate?

This dataset is of the top layer of a Direct Numerical Simulation (DNS) generated at Karlsruhe Institute of Technology, Karlsruhe Germany See - Pinelli et al. (2022)

A second dataset was generated from the top DNS scaler field by cross-correlating the scaler fields in series. The method of cross-correlation is called Feature image velocimetry See - Metoyer et al. (2020)

GRL_DataOCF12000\data

Contains a few figures of the DNS surface layer, DNS coordinates \"ocf12000_xyz\" (used in scripts), and the Feature Image Velocimetry (FIV) dataset \"imagedata_w60\"

imagedata_w60 - a .mat file that contains:

-imagedata: a set of all 180 73x73 FIV velocity fields where imagedata{:,1} are the U (longitudinal) velocities fields imagedata{:,2} are the V (transverse) velocities fields

Note - this set contains the filtered FIV velocities
-imagedatainterpol: A set of all FI...