Worst air pollution Yaiza, today and tomorrow

On 19 July 2026, overall air quality in Yaiza is fair. AQI is the main air quality indicator at 34.4/100. Pollution peaks around 2:00 AM (PM10: 34.4/100).

On 20 July 2026, air quality conditions in Yaiza will be similar to today, with PM2.5 forecast at fair at 32.8/100. Pollution peaks around 4:00 AM (PM10: 40.1/100).

When is air quality typically worst in Yaiza? Air quality is typically at its weakest in December and January, when cold, calm high-pressure spells trap traffic exhaust and wood-smoke close to the ground instead of letting it disperse. Conditions generally start to recover in spring, as increasing wind and rainfall break up the stagnant air masses typical of winter. Summer readings are shaped mainly by ozone, which builds under strong sun and heat, sometimes worsened by drifting wildfire smoke. Conditions tend to stabilise in autumn, as cooling weather and increasing rain reduce the ozone spikes typical of summer. The Canary Islands' subtropical trade-wind climate keeps conditions milder year-round, though Saharan dust intrusions (calima) can arrive at any time of year and briefly dominate.

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.