Speaker
Description
Commercial microwave links enable opportunistic, city-scale rainfall sensing, but controlled evaluation of interpolation and visualization behavior is difficult with real data. We present SynthRain, a synthetic simulation pipeline created to generate dense, city-like CML network scenarios together with configurable rainfall fields and noisy link observations. SynthRain supports systematic parameter sweeps (e.g., network density, wet-target fraction, IDW power, neighbor count, distance constraints) and produces rainfall maps and summary sheets for rapid comparison. The tool was developed to simulate diverse operating conditions and stress-test the TelcoSense visualization platform, validating map rendering, thresholds, and user-facing behavior across many controlled scenarios.