Simulating Downbursts: Flow Characterization and Time–Frequency Scaling
Thunderstorm downbursts are short-lived and transient, so no wind tunnel or numerical model reproduces them perfectly. I characterized the downburst-like outflow at the Wall of Wind using 3D Particle Image Velocimetry, covering the nose-shaped profile, vertical wind component, flow angles, static pressure, and turbulence spectra, and reframed the question from “how perfectly is the flow simulated?” to “which flow parameters critically influence wind loading, and is their simulated range adequate?” Building on this, I developed a time–frequency scaling framework that enforces similarity in both the time and frequency domains. Built on a library of more than 500 velocity time histories and validated against full-scale events recorded with the University of Genoa, it gives researchers and practitioners a consistent way to reproduce field events across facilities and simulation techniques.
Related work: PIV-based analysis of downburst-like wall jet outflows (PEM 2026); Time-frequency scaling framework for downburst-like outflows: Challenges, full-scale validation, and prospects (JWEIA 2026); Uniting physical simulations and field measurements of downburst events (IN-VENTO 2024)