Worst air pollution San Bartolomé, today and tomorrow

On 19 July 2026, overall air quality in San Bartolomé is fair. O3 is the main pollutant at 27.0/100. Pollution peaks around 1:00 PM (PM10: 54.3/100).

On 20 July 2026, air quality conditions in San Bartolomé will be similar to today, with O3 forecast at fair at 28.6/100. Pollution peaks around 3:00 AM (PM10: 54.9/100).

What is the yearly air quality pattern like in San Bartolomé? Air quality often reaches its yearly low in the depths of winter, when still, cold air holds local emissions from traffic and heating close to ground level. Spring is typically when conditions begin improving, as increasing wind speeds help disperse traffic emissions before they can accumulate. The heat of summer drives up ozone formation, and dry conditions occasionally bring smoke from regional wildfires into the mix. Conditions tend to stabilise in autumn, as cooling weather and increasing rain reduce the ozone spikes typical of summer. Here, the steady trade winds generally keep air quality stable across the year, aside from periodic calima events that bring dust from the Sahara.

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.