Worst air pollution Las Rozas de Madrid, today and tomorrow

On 9 August 2026, overall air quality in Las Rozas de Madrid 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 Las Rozas de Madrid 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 time of year has the cleanest air in Las Rozas de Madrid? Winter tends to bring the year's weakest readings, as stagnant, cold air lets heating smoke and vehicle emissions build up rather than clear away. As spring progresses, wetter and windier conditions generally help flush out the traffic and heating pollution that built up over winter. The heat of summer drives up ozone formation, and dry conditions occasionally bring smoke from regional wildfires into the mix. Conditions generally improve through autumn as cooling temperatures reduce ozone formation and returning rains help disperse remaining pollutants. The plateau's continental climate, with cold winters and hot, dry summers, tends to produce more pronounced seasonal differences here.

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.