General Aviation NOAA METAR/TAF Briefing & Go/No-Go Risk Engine
“Compute Instant FAA VFR/IFR Flight Categories, Exact Runway Crosswind Vectors & Density Altitude Go/No-Go Briefings from Live NOAA Feeds.”
Deterministic pre-flight weather briefing engine combining live NOAA Aviation Weather Center (AWC) METAR/TAF telemetry with FAA flight category classification (VFR/MVFR/IFR/LIFR), runway crosswind vector decomposition, and temperature-corrected density altitude math.
CLAIM: Automated NOAA METAR/TAF pre-flight risk scoring with exact trigonometric runway crosswind and density-altitude math. PROOF: Deterministic aviation weather calculator (skills/aviation-weather-go-nogo/metar_risk_scorer.py --selftest PASS).
How do we automate pre-flight NOAA METAR/TAF weather briefings with exact trigonometric runway crosswind and density-altitude go/no-go math?
Before every flight, Aria’s Aviation Weather Engine pulls live NOAA Aviation Weather Center METAR/TAF telemetry, classifies exact FAA VFR/MVFR/IFR/LIFR ceiling and visibility minimums, decomposes trigonometric headwind and crosswind knots for the active runway, and checks temperature-corrected density altitude against aircraft POH limits.
Production Stack
Proven Production Guarantees
- Eliminates manual mental-math errors on gusting crosswind components and high-temperature density altitude before engine start.
- Evaluates departure, enroute, and destination stations simultaneously against FAA flight categories and pilot personal minimums.
- Produces an auditable Go / Caution / No-Go risk briefing with exact crosswind knots, headwind knots, and pressure/density altitude in feet.
Implementation & Verification Runbook
Execute the aviation weather self-test to verify VFR/MVFR/IFR/LIFR classification and 30-degree runway crosswind math.
python skills/aviation-weather-go-nogo/metar_risk_scorer.py --selftest