Worst air pollution Peñíscola, today and tomorrow

On 9 August 2026, overall air quality in Peñíscola is fair. AQI is the main air quality indicator at 30.1/100. Pollution peaks around 2:00 PM (O3: 30.1/100).

On 10 August 2026, air quality conditions in Peñíscola will be similar to today, with AQI forecast at fair at 30.6/100. Pollution peaks around 3:00 PM (O3: 30.6/100).

What time of year has the cleanest air in Peñíscola? January is frequently the most difficult month, with cold stagnant air allowing wood-smoke and exhaust to build up instead of clearing. Conditions generally start to recover in spring, as increasing wind and rainfall break up the stagnant air masses typical of winter. Summer readings are shaped mainly by ozone, which builds under strong sun and heat, sometimes worsened by drifting wildfire smoke. 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.