Worst air pollution Vejer de la Frontera, today and tomorrow

On 9 August 2026, overall air quality in Vejer de la Frontera is fair. AQI is the main air quality indicator at 38.9/100. Pollution peaks around 6:00 PM (O3: 38.9/100).

On 10 August 2026, air quality conditions in Vejer de la Frontera will be similar to today, with PM2.5 forecast at fair at 20.4/100. Pollution peaks around 6:00 PM (O3: 40.4/100).

How does air quality change throughout the year in Vejer de la Frontera? December through February is often the toughest stretch, driven by temperature inversions that keep exhaust and heating smoke from dispersing on still days. Spring generally sees a gradual recovery, driven by more frequent rain showers and stronger breezes that prevent pollutants from settling. Summer readings are shaped mainly by ozone, which builds under strong sun and heat, sometimes worsened by drifting wildfire smoke. As autumn progresses, cooler temperatures and more frequent rain tend to bring air quality back toward its yearly average. Being close to North Africa, this area is more exposed to Saharan dust intrusions, which can add to the seasonal pattern described above.

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.