Worst air pollution La Orotava, today and tomorrow

On 19 July 2026, overall air quality in La Orotava is fair. PM2.5 is the main pollutant at 33.9/100. Pollution peaks around 2:00 PM (PM10: 45.3/100).

On 20 July 2026, air quality conditions in La Orotava will be similar to today, with O3 forecast at fair at 28.6/100. Pollution peaks around 4:00 AM (PM10: 49.0/100).

How do the seasons affect air quality in La Orotava? 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. March through May tends to see steady improvement, with more unsettled weather patterns helping disperse traffic and heating pollution. Summer readings are shaped mainly by ozone, which builds under strong sun and heat, sometimes worsened by drifting wildfire smoke. The transition into autumn generally brings cleaner conditions, as more frequent rainfall and lower temperatures curb ozone formation. Being closest to the Sahara, these islands see calima dust events more often than any other part of Spain, on top of an otherwise mild, trade-wind climate.

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.