METAR Decoder

The METAR Decoder takes a raw METAR string and translates it into a structured data model that exposes key weather fields for downstream use. It conceptually tokenizes the report and maps METAR components to labeled attributes such as station, time, wind (direction, speed, gusts), visibility, cloud layers, present weather, temperature, dew point, and altimeter. This enables automated ingestion into dashboards, decision engines, and flight planning tools. The tool targets pilots, dispatch teams, aeronautical data engineers, and weather enthusiasts who require quick, machine readable access to current conditions. Unique value lies in robust parsing, clear field labeling, and readiness for API or file export. Core features include strict METAR parsing, unit normalization, and graceful handling of missing data. Optional capabilities cover multi report processing, unit conversions between knots and meters per second or miles, and export to JSON or CSV. Typical use cases include preflight weather checks, automated weather feeds for dashboards, and integration into flight planning pipelines. The decoder emphasizes accuracy, speed, and interoperability, enabling teams to build reliable aviation weather solutions without manual transcription.