Worst air pollution Gran Vía - Madrid, today and tomorrow

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

When is air quality typically worst in Gran Vía? Cold, windless spells in December and January are usually when conditions dip most, as heating emissions and traffic fumes accumulate under a stable atmosphere. The transition into spring usually brings cleaner air, as more frequent rain and wind reduce the buildup of local pollution. Summer heat and intense sunlight drive photochemical ozone production, which can push afternoon air quality readings higher despite reduced winter-style pollution sources. Autumn is typically a recovery period, with increasing rainfall and cooler air gradually reducing both ozone and traffic-related pollution. Being inland, this area sees more extreme summer heat and winter cold, which sharpens the seasonal contrast in air quality.

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.