Worst air pollution Ciudad Jardín (Málaga) - Málaga, today and tomorrow

On 19 July 2026, overall air quality in Ciudad Jardín (Málaga) is poor. AQI is the main air quality indicator at 61.3/100. Pollution peaks around 6:00 PM (O3: 61.3/100).

On 20 July 2026, air quality conditions in Ciudad Jardín (Málaga) will be similar to today, with AQI forecast at poor at 64.1/100. Pollution peaks around 6:00 PM (O3: 64.1/100).

How does air quality change throughout the year in Ciudad Jardín (Málaga)? The coldest months usually see the year's poorest conditions, since calm anticyclonic weather holds local traffic and wood-burning pollution near street level. Spring generally sees a gradual recovery, driven by more frequent rain showers and stronger breezes that prevent pollutants from settling. Summer's intense heat and sunshine create ideal conditions for ozone formation, sometimes overshadowing the lower traffic volumes typical of the season. Autumn is typically a recovery period, with increasing rainfall and cooler air gradually reducing both ozone and traffic-related pollution. This area's proximity to North Africa means Saharan dust episodes can arrive at almost any time of year, layering onto the seasonal pattern.

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.