Best use for travel intelligence
For travel decisions, aviation-weather layers are most useful when they turn METAR, TAF, and warning products into airport-specific delay, diversion, and route-confidence signals.
Data cluster
Airport METAR, TAF, aviation weather, and weather-API layers used to understand airport and route disruption risk.
For travel decisions, aviation-weather layers are most useful when they turn METAR, TAF, and warning products into airport-specific delay, diversion, and route-confidence signals.
1 of 2 sources look official or agency-backed.
2 sources expose API, feed, CKAN/DataStore, JSON, XML, or similar machine-readable access.
2 sources have live, hourly, event-driven, warning, or frequent update language.
Prefer structured METAR/TAF products and issued warnings over page scraping, and keep weather observations separate from the downstream operational impact score.
Last checked: 2026-05-11.
Source confidence: This cluster is strongest when several sources describe the same traveler problem from different angles: official context, machine-readable feeds, and slower fallback documentation.
Global aviation weather API for METAR, TAF, SIGMET, station info, and recent archives. Useful as a machine-readable backup or cross-check for Thai airport weather.
Public API, OpenAPI spec, and cache-file downloads for machine-to-machine aviation weather access Weather, environment, and disastersThai aviation meteorology portal for airport weather, METAR, TAF, and aviation-warning context. Best official local weather layer for Thai airports, though public API documentation is unclear.
Official aviation meteorology portal and airport weather pages