Worst air pollution El Masnou, today and tomorrow

On 20 September 2026, overall air quality in El Masnou is moderate. AQI is the main air quality indicator at 43.5/100. Pollution peaks around 1:00 AM (PM2.5: 43.5/100).

On 21 September 2026, air quality conditions in El Masnou will be similar to today, with AQI forecast at moderate at 42.4/100. Pollution peaks around 11:00 PM (PM2.5: 42.4/100).

How do the seasons affect air quality in El Masnou? The coldest months usually see the year's poorest conditions, since calm anticyclonic weather holds local traffic and wood-burning pollution near street level. The transition into spring usually brings cleaner air, as more frequent rain and wind reduce the buildup of local pollution. Summer's intense heat and sunshine create ideal conditions for ozone formation, sometimes overshadowing the lower traffic volumes typical of the season. Air quality usually improves through autumn, as returning rains and cooling temperatures wash out summer's ozone and dust build-up. Coastal sea breezes here usually aid dispersal, but summer visitor traffic and periodic dust intrusions from North Africa can still cause spikes.

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.