Worst air pollution Puerto de la Cruz, today and tomorrow

On 19 July 2026, overall air quality in Puerto de la Cruz is fair. AQI is the main air quality indicator at 37.2/100. Pollution peaks around 2:00 PM (PM10: 37.2/100).

On 20 July 2026, air quality conditions in Puerto de la Cruz will be similar to today, with PM2.5 forecast at fair at 33.7/100. Pollution peaks around 4:00 AM (PM10: 41.4/100).

Does air quality in Puerto de la Cruz vary by season? Winter mornings are frequently the year's most polluted, as fog and calm conditions trap traffic fumes and smoke from wood stoves close to the ground. By spring, air quality usually starts trending upward as the calm winter inversions give way to more unsettled, breezier weather. Summer brings its own challenge in the form of ground-level ozone, which forms readily under strong sunshine and high temperatures, particularly during heatwaves. Autumn typically starts mild and can still see occasional ozone or dust episodes before rain and cooler temperatures gradually restore cleaner conditions. Thanks to the trade winds, conditions here vary less through the year than on the mainland, though Saharan dust intrusions remain an occasional disruption regardless of season.

It is forecasts derived by downscaling forecasts provided by EU’s Copernicus Atmosphere Monitoring Service (CAMS) by taking into account local conditions such as traffic patterns. CAMS bases its forecast on satellite measurements of particles and chemical compounds in the atmosphere. Airmine’s services were developed with support from the European Space Agency (ESA)’s Business Applications and Space Solutions (BASS) team.

Airmine’s forecast uses CAMS (Copernicus Atmosphere Monitoring Service) as its background atmospheric model. While CAMS includes wildfire emissions, these are derived from satellite observations and are not available in real time. During rapidly evolving wildfire events, there may therefore be a delay before increased emissions are incorporated into the model. As a result, the forecast may temporarily underestimate PM₂.₅ and other pollutants associated with wildfire smoke.

During rapidly evolving wildfire events, CAMS may lag by approximately 1–2 days before increased wildfire emissions are fully represented, which can lead to temporary underestimation of PM₂.₅ concentrations in Airmine’s forecast.