Worst air pollution Palacio de la Aljafería - Zaragoza, today and tomorrow

On 19 July 2026, overall air quality in Palacio de la Aljafería is fair. O3 is the main pollutant at 35.0/100. Pollution peaks around 7:00 AM (NO2: 46.4/100).

On 20 July 2026, air quality conditions in Palacio de la Aljafería will be similar to today, with AQI forecast at fair at 39.5/100. Pollution peaks around 8:00 AM (NO2: 39.5/100).

How does air quality change throughout the year in Palacio de la Aljafería? January is frequently the most difficult month, with cold stagnant air allowing wood-smoke and exhaust to build up instead of clearing. March through May tends to see steady improvement, with more unsettled weather patterns helping disperse traffic and heating pollution. Summer's intense heat and sunshine create ideal conditions for ozone formation, sometimes overshadowing the lower traffic volumes typical of the season. The first rains of autumn typically help clear out any lingering summer dust or ozone, setting up milder conditions ahead of winter. 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.