This is the accepted version of the paper. This version of the publication may differ from the final published version. Permanent repository link: https://openaccess.city.ac.uk/id/eprint/23398/ Link to published version: http://dx.Abstract The[AU: Please check edited affiliations for accuracy][AU: Please check edited title; 'airfoil' is the US spelling. Is 'Investigation of the' necessary in the title? Often titles omit wording such as that since it's understood.]main focus of this paper is on investigating the noise produced by an aerofoilairfoil at high angles of attack over a range of Reynolds number[AU: Journal style does not use italics/math mode for Re. Please check for consistency.]Re ≈ 2 × 10 5 -4 × 10 5 .[AU: Journalstyle uses multdots only in vector math; they have been changed to multcrosses. Please check for consistency.]The objective is not modellingmodeling this source of noise but rather understanding the mechanisms of generation for surface pressure fluctuations, due to a separated boundary layer, that are then scattered by the trailing edge. To this aim, we use simultaneous noise and surface pressure measurement in addition to velocimetric measurements by means of hot wire anemometry and time-resolved particle image velocimetry. Three possible mechanisms for the so-called "separation-stall noise" have been identified in addition to a clear link between far fieldfar-field noise, surface pressure, and velocity fields in the noise generation. * G.Lacagnina@soton.ac.uk

Direct numerical simulation results for a developing, supersonic boundary layer flow with either an adiabatic wall temperature condition or a cold wall (relative to adiabatic) temperature condition are evaluated to assess the comparative effect on the mean and turbulent fields. Included in the analysis are two-point turbulent spanwise spatial correlations and the corresponding one-dimensional energy spectra distributions as well as higher-order statistics including skewness and flatness factors. In addition to the mean field velocity and temperature behavior, the turbulent Reynolds stress, temperature variance, and heat and mass flux distributions are discussed. An overall focus of the analysis is to both contrast the velocity and thermal field behavior and to provide some additional insight into the dynamic balance of the various statistical correlations and their impact on model development.