Worst air pollution Majadahonda, today and tomorrow

On 9 August 2026, overall air quality in Majadahonda is fair. AQI is the main air quality indicator at 34.2/100. Pollution peaks around 3:00 PM (O3: 34.2/100).

On 10 August 2026, air quality conditions in Majadahonda will be similar to today, with AQI forecast at fair at 35.6/100. Pollution peaks around 4:00 PM (O3: 35.6/100).

What is the yearly air quality pattern like in Majadahonda? The coldest months usually see the year's poorest conditions, since calm anticyclonic weather holds local traffic and wood-burning pollution near street level. Conditions tend to ease in spring, as more active weather systems bring the wind and rain needed to disperse ground-level 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. The continental interior's hot, dry summers and cold, still winters make it prone to sharper seasonal swings than coastal Spain.

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.