Worst air pollution El Rocío / Matalascañas, today and tomorrow

On 20 September 2026, overall air quality in El Rocío / Matalascañas is moderate. AQI is the main air quality indicator at 43.9/100. Pollution peaks around 10:00 AM (PM2.5: 43.9/100).

On 21 September 2026, air quality conditions in El Rocío / Matalascañas will be similar to today, with AQI forecast at moderate at 43.2/100. Pollution peaks around 11:00 AM (PM2.5: 43.2/100).

When is air quality typically worst in Parque Nacional de Doñana? Winter is generally the most challenging season, since low wind speeds and temperature inversions prevent traffic and wood-smoke pollution from dispersing. As spring progresses, wetter and windier conditions generally help flush out the traffic and heating pollution that built up over winter. Summer brings its own challenge in the form of ground-level ozone, which forms readily under strong sunshine and high temperatures, particularly during heatwaves. 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. The region's intense heat and its exposure to Saharan dust crossing the Strait mean conditions here can swing sharply from the seasonal norm.

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.