“…Instead, dual-tip intrusive phase-detection probes in combination with cross-correlation based signal processing have been the preferred method over several decades for the retrieval of time averaged velocities (Neal and Bankoff, 1963;Wood, 1983) and other air-water flow properties including void fraction, particle frequencies and particle chord lengths (Straub and Anderson, 1958;Boes and Hager, 2003;Felder and Chanson, 2014). The recently proposed adaptive window cross-correlation (AWCC) signal processing algorithm (Kramer et al, 2019(Kramer et al, , 2020a allows for robust measurements of local pseudo-instantaneous 1-D velocities of signal windows Proceedings of the 39th IAHR World Congress 19-24 June 2022, Granada, Spain consisting of a discrete number of particles (bubbles or droplets) and significantly improved measurement accuracy of turbulent statistics in highly aerated flows compared to previous methods (Chanson and Toombes, 2002). However, the applied window averaging still reduces the data rate in comparison to eventdetection algorithms (Kramer et al, 2020b), thereby introducing an averaging effect on turbulence quantities and limiting the retrieval of time-resolving turbulence statistics.…”