SkyAudit

SkyAudit is a web app (with optional mobile companion) that scores and explains forecast reliability for a specific location, time window, and weather variable (wind, precip, visibility, convection). Instead of another “pretty forecast,” it compares multiple numerical weather prediction models (e.g., GFS, ECMWF where licensed, HRRR) against recent observations from nearby stations, radar, and satellites, then outputs a simple confidence grade plus the top reasons uncertainty is high (front timing spread, convective initiation risk, boundary layer mixing, etc.). Users can set thresholds (e.g., “crosswind > 20 kt” or “rain > 5 mm”) and get a risk-focused briefing. It’s an AI-assisted app: AI summarizes model disagreement and translates meteorological jargon into plain language, but the core scoring is deterministic and auditable. Realistically, it wins only if it’s trusted, fast, and transparent—otherwise users will stick with incumbents.