Worst air pollution Anillo Verde Ciclista - Madrid, today and tomorrow

On 19 July 2026, overall air quality in Anillo Verde Ciclista 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 Anillo Verde Ciclista will be similar to today, with AQI forecast at fair at 33.7/100. Pollution peaks around 2:00 PM (O3: 33.7/100).

How does air quality change throughout the year in Anillo Verde Ciclista? The winter months typically bring the weakest air quality of the year, as calm anticyclonic conditions trap vehicle and heating pollution near the surface. Air quality usually improves through spring, helped by more frequent frontal systems that bring rain and stronger winds to disperse local emissions. 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.