Worst air pollution Cornellà de Llobregat, today and tomorrow

On 9 August 2026, overall air quality in Cornellà de Llobregat is fair. AQI is the main air quality indicator at 38.1/100. Pollution peaks around 2:00 PM (O3: 38.1/100).

On 10 August 2026, air quality conditions in Cornellà de Llobregat will be similar to today, with AQI forecast at fair at 34.0/100. Pollution peaks around 2:00 PM (O3: 34.0/100).

What is the yearly air quality pattern like in Cornellà de Llobregat? Air quality is typically at its weakest in December and January, when cold, calm high-pressure spells trap traffic exhaust and wood-smoke close to the ground instead of letting it disperse. Spring generally sees a gradual recovery, driven by more frequent rain showers and stronger breezes that prevent pollutants from settling. Summer's intense heat and sunshine create ideal conditions for ozone formation, sometimes overshadowing the lower traffic volumes typical of the season. Conditions generally improve through autumn as cooling temperatures reduce ozone formation and returning rains help disperse remaining pollutants. This Mediterranean location benefits from regular sea breezes, though summer's higher traffic volumes and occasional Saharan dust events can offset that.

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.