Worst air pollution Parque Nacional de Sierra Nevada - Granada, today and tomorrow

On 9 August 2026, overall air quality in Parque Nacional de Sierra Nevada is fair. AQI is the main air quality indicator at 30.0/100. Pollution peaks around 2:00 AM (O3: 30.0/100).

On 10 August 2026, air quality conditions in Parque Nacional de Sierra Nevada will be similar to today, with AQI forecast at fair at 35.5/100. Pollution peaks around 4:00 PM (O3: 35.5/100).

How do the seasons affect air quality in Parque Nacional de Sierra Nevada? Winter is generally the most challenging season, since low wind speeds and temperature inversions prevent traffic and wood-smoke pollution from dispersing. March through May tends to see steady improvement, with more unsettled weather patterns helping disperse traffic and heating pollution. During summer, strong sunlight and high temperatures accelerate ozone formation, occasionally offsetting the drop in traffic and heating-related emissions. Early autumn can still bring warm, stagnant spells before the season's returning rain and wind begin clearing the air. The region's intense heat and its exposure to Saharan dust crossing the Strait mean conditions here can swing sharply from the seasonal norm.

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.