Worst air pollution Conil de la Frontera, today and tomorrow

On 9 August 2026, overall air quality in Conil 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 Conil de la Frontera will be better than today, with AQI forecast at medium at 40.4/100. Pollution peaks around 6:00 PM (O3: 40.4/100).

When is air quality typically worst in Conil de la Frontera? January is frequently the most difficult month, with cold stagnant air allowing wood-smoke and exhaust to build up instead of clearing. Spring generally sees a gradual recovery, driven by more frequent rain showers and stronger breezes that prevent pollutants from settling. During summer, strong sunlight and high temperatures accelerate ozone formation, occasionally offsetting the drop in traffic and heating-related emissions. Autumn is typically a recovery period, with increasing rainfall and cooler air gradually reducing both ozone and traffic-related pollution. The south's long, hot summers and occasional calima dust events from across the Strait tend to intensify the usual seasonal swings.

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.