Worst air pollution Parque Nacional de Timanfaya - Yaiza, today and tomorrow

On 19 July 2026, overall air quality in Parque Nacional de Timanfaya is fair. AQI is the main air quality indicator at 31.2/100. Pollution peaks around 1:00 AM (PM10: 31.2/100).

On 20 July 2026, air quality conditions in Parque Nacional de Timanfaya will be similar to today, with AQI forecast at fair at 28.9/100. Pollution peaks around 3:00 PM (O3: 28.9/100).

How do the seasons affect air quality in Parque Nacional de Timanfaya? The winter months typically bring the weakest air quality of the year, as calm anticyclonic conditions trap vehicle and heating pollution near the surface. Spring often marks a turning point, with increasing storminess and rainfall helping to clear accumulated exhaust and smoke from the air. Hot, dry summer conditions favour ozone formation, so afternoon readings can rise even when traffic and heating pollution are otherwise low. As autumn progresses, cooler temperatures and more frequent rain tend to bring air quality back toward its yearly average. The islands' mild, trade-wind-driven climate means seasonal swings are gentler than on the mainland, but calima dust events can occur in any month.

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.