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 Fields
| Field | Granularity | Sources |
|---|---|---|
| PM2.5 | current, hourly | CAMS/SILAM, stations |
| PM10 | current, hourly | CAMS/SILAM, stations |
| Carbon monoxide (CO) | current, hourly | CAMS/SILAM, stations |
| Nitrogen dioxide (NO2) | current, hourly | CAMS/SILAM, stations |
| Sulfur dioxide (SO2) | current, hourly | CAMS/SILAM, stations |
| Ozone (O3) | current, hourly | CAMS/SILAM, stations |
| US EPA AQI | current, hourly | CAMS/SILAM, stations |
| Pollen levels (grass, tree, weed) | current | CAMS/SILAM, stations (US/CA, and Europe only) |
| Predominant pollen type | current | CAMS/SILAM, stations (US/CA, and Europe only) |
| Mold level | current | CAMS/SILAM, stations (US/CA, and Europe only) |
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.
- 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.