Worst air pollution Níjar, today and tomorrow

On 19 July 2026, overall air quality in Níjar 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 Níjar will be similar to today, with AQI forecast at poor at 64.1/100. Pollution peaks around 6:00 PM (O3: 64.1/100).

What time of year has the cleanest air in Níjar? Cold, windless spells in December and January are usually when conditions dip most, as heating emissions and traffic fumes accumulate under a stable atmosphere. March through May tends to see steady improvement, with more unsettled weather patterns helping disperse traffic and heating pollution. The heat of summer drives up ozone formation, and dry conditions occasionally bring smoke from regional wildfires into the mix. 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. Being close to North Africa, this area is more exposed to Saharan dust intrusions, which can add to the seasonal pattern described above.

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.