Worst air pollution Parque Nacional del Teide - La Orotava, today and tomorrow

On 19 July 2026, overall air quality in Parque Nacional del Teide is fair. PM2.5 is the main pollutant at 27.1/100. Pollution peaks around 1:00 PM (PM10: 41.5/100).

On 20 July 2026, air quality conditions in Parque Nacional del Teide will be similar to today, with O3 forecast at fair at 29.4/100. Pollution peaks around 7:00 PM (PM10: 40.5/100).

How does air quality change throughout the year in Parque Nacional del Teide? 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. Spring usually brings an improvement as more frequent rain and stronger winds help clear the air and wash out pollutants that built up over winter. Summer's intense heat and sunshine create ideal conditions for ozone formation, sometimes overshadowing the lower traffic volumes typical of the season. Conditions generally improve through autumn as cooling temperatures reduce ozone formation and returning rains help disperse remaining pollutants. Here, the steady trade winds generally keep air quality stable across the year, aside from periodic calima events that bring dust from the Sahara.

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.