Worst air pollution Alhama de Granada, today and tomorrow

On 20 September 2026, overall air quality in Alhama de Granada is moderate. AQI is the main air quality indicator at 40.3/100. Pollution peaks around 10:00 AM (PM2.5: 40.3/100).

On 21 September 2026, air quality conditions in Alhama de Granada will be better than today, with AQI forecast at fair at 39.3/100. Pollution peaks around 11:00 AM (PM2.5: 39.3/100).

When is air quality typically worst in Alhama de Granada? 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 can bring periodic wildfire smoke on top of the usual ozone build-up from intense heat and sunshine. Conditions tend to stabilise in autumn, as cooling weather and increasing rain reduce the ozone spikes typical of summer. 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.