Worst air pollution Barrio Judío de Girona - Girona, today and tomorrow

On 9 August 2026, overall air quality in Barrio Judío de Girona is fair. AQI is the main air quality indicator at 36.5/100. Pollution peaks around 3:00 PM (O3: 36.5/100).

On 10 August 2026, air quality conditions in Barrio Judío de Girona will be similar to today, with AQI forecast at fair at 31.0/100. Pollution peaks around 1:00 PM (O3: 31.0/100).

What is the yearly air quality pattern like in Barrio Judío de Girona? Winter mornings are frequently the year's most polluted, as fog and calm conditions trap traffic fumes and smoke from wood stoves close to the ground. Spring often marks a turning point, with increasing storminess and rainfall helping to clear accumulated exhaust and smoke from the air. Hot, dry summer conditions favour ozone formation, so afternoon readings can rise even when traffic and heating pollution are otherwise low. By late autumn, air quality is usually back to more moderate levels, though the first cold snaps can bring an early hint of winter's traffic and heating pollution. Being on the Mediterranean coast helps with dispersal most of the year, though summer tourism and North African dust episodes remain a factor.

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.