Worst air pollution Moratalaz - Madrid, today and tomorrow

On 19 July 2026, overall air quality in Moratalaz is fair. AQI is the main air quality indicator at 32.3/100. Pollution peaks around 5:00 PM (O3: 32.3/100).

On 20 July 2026, air quality conditions in Moratalaz will be similar to today, with AQI forecast at fair at 33.7/100. Pollution peaks around 2:00 PM (O3: 33.7/100).

What time of year has the cleanest air in Moratalaz? 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. March through May tends to see steady improvement, with more unsettled weather patterns helping disperse traffic and heating pollution. Hot, stagnant summer air favours ozone formation, and dry vegetation nearby occasionally adds wildfire smoke to the mix during peak heat. Autumn typically starts mild and can still see occasional ozone or dust episodes before rain and cooler temperatures gradually restore cleaner conditions. 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.