Worst air pollution San Blas-Canillejas - Madrid, today and tomorrow

On 30 August 2026, overall air quality in San Blas-Canillejas is moderate. AQI is the main air quality indicator at 41.9/100. Pollution peaks around 4:00 PM (O3: 41.9/100).

On 31 August 2026, air quality conditions in San Blas-Canillejas will be better than today, with AQI forecast at fair at 30.1/100. Pollution peaks around 5:00 PM (O3: 30.1/100).

What time of year has the cleanest air in San Blas-Canillejas? December through February is often the toughest stretch, driven by temperature inversions that keep exhaust and heating smoke from dispersing on still days. Conditions generally start to recover in spring, as increasing wind and rainfall break up the stagnant air masses typical of winter. Hot, stagnant summer air favours ozone formation, and dry vegetation nearby occasionally adds wildfire smoke to the mix during peak heat. The transition into autumn generally brings cleaner conditions, as more frequent rainfall and lower temperatures curb ozone formation. The interior's dry continental climate means winter inversions and summer heat both tend to hit harder than along the coast.

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.