Worst air pollution Parque Natural Cabo de Gata-Níjar - Níjar, today and tomorrow

On 19 July 2026, overall air quality in Parque Natural Cabo de Gata-Níjar is poor. AQI is the main air quality indicator at 65.6/100. Pollution peaks around 6:00 PM (O3: 65.6/100).

On 20 July 2026, air quality conditions in Parque Natural Cabo de Gata-Níjar will be better than today, with AQI forecast at medium at 58.5/100. Pollution peaks around 6:00 PM (O3: 58.5/100).

What is the yearly air quality pattern like in Parque Natural Cabo de Gata-Níjar? Air quality is typically at its weakest in December and January, when cold, calm high-pressure spells trap traffic exhaust and wood-smoke close to the ground instead of letting it disperse. Spring often marks a turning point, with increasing storminess and rainfall helping to clear accumulated exhaust and smoke from the air. Summer's intense heat and sunshine create ideal conditions for ozone formation, sometimes overshadowing the lower traffic volumes typical of the season. 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. Southern Spain's intense summer heat and periodic Saharan dust intrusions add extra pressure on top of the usual 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.