Worst air pollution San Martín de la Vega, today and tomorrow

On 30 August 2026, overall air quality in San Martín de la Vega is moderate. AQI is the main air quality indicator at 41.8/100. Pollution peaks around 4:00 PM (O3: 41.8/100).

On 31 August 2026, air quality conditions in San Martín de la Vega will be better than today, with AQI forecast at fair at 30.5/100. Pollution peaks around 5:00 PM (O3: 30.5/100).

What is the yearly air quality pattern like in Parque Warner? December through February is often the toughest stretch, driven by temperature inversions that keep exhaust and heating smoke from dispersing on still days. By spring, air quality usually starts trending upward as the calm winter inversions give way to more unsettled, breezier weather. During summer, strong sunlight and high temperatures accelerate ozone formation, occasionally offsetting the drop in traffic and heating-related emissions. 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 continental interior's hot, dry summers and cold, still winters make it prone to sharper seasonal swings than coastal Spain.

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.