Worst air pollution Palau Sant Jordi - Barcelona, today and tomorrow

On 19 July 2026, overall air quality in Palau Sant Jordi is fair. PM2.5 is the main pollutant at 20.6/100. Pollution peaks around 3:00 PM (O3: 54.5/100).

On 20 July 2026, air quality conditions in Palau Sant Jordi will be better than today, with AQI forecast at medium at 58.6/100. Pollution peaks around 2:00 PM (O3: 58.6/100).

What is the yearly air quality pattern like in Palau Sant Jordi? 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. As spring progresses, wetter and windier conditions generally help flush out the traffic and heating pollution that built up over winter. Summer heat and intense sunlight drive photochemical ozone production, which can push afternoon air quality readings higher despite reduced winter-style pollution sources. Conditions tend to stabilise in autumn, as cooling weather and increasing rain reduce the ozone spikes typical of summer. Coastal sea breezes here usually aid dispersal, but summer visitor traffic and periodic dust intrusions from North Africa can still cause spikes.

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.