Air Quality API

Access high-resolution global air quality data built from model guidance and monitoring stations. Products are bias-corrected and gap-filled to support current conditions, forecast operations, and historical analysis.

API Guide

Air Quality API

Access high-resolution global air quality data built from model guidance and monitoring stations. Products are bias-corrected and gap-filled to support current conditions, forecast operations, and historical analysis.

Browse current, forecast, and historical air quality endpoints and choose the best fit for your integration.

  • Current air quality conditions.
  • Air quality forecast support.
  • Historical air quality retrieval.

Available Weather Fields

  • PM2.5
  • PM10
  • Carbon monoxide (CO)
  • Nitrogen dioxide (NO2)
  • Sulfur dioxide (SO2)
  • Ozone (O3)
  • Pollen (CONUS / EU)
  • US EPA AQI

Location Retrieval Methods

  • Latitude / longitude
  • City name
  • Airport ICAO code
  • Postal (zip) code

Advantages

High Spatial Resolution: Air quality products are delivered at high spatial resolution with blended model and station inputs.

High Precision and Accuracy: Statistical and machine-learning methods are used to correct bias and improve operational quality.

Continuously Updated Forecasts: Forecast products are refreshed as conditions change, rather than only once per model run.

Historical + Current Continuity: Hourly historical and current air quality products are designed for consistent operational workflows.

Available APIs

  • Current Air Quality API: current pollutant concentrations and AQI, with pollen fields where available.
  • Air Quality Forecast API: hourly forecast guidance out to 72 hours for global locations.
  • Historical Air Quality API: hourly historical air quality data for retrospective analysis and validation.

API References

Interactive API Reference

Run live requests with Try it out and inspect response output directly in this page.