Worst air pollution Oropesa del Mar, today and tomorrow

On 9 August 2026, overall air quality in Oropesa del Mar is fair. AQI is the main air quality indicator at 32.4/100. Pollution peaks around 3:00 PM (O3: 32.4/100).

On 10 August 2026, air quality conditions in Oropesa del Mar will be similar to today, with AQI forecast at fair at 33.5/100. Pollution peaks around 3:00 PM (O3: 33.5/100).

When is air quality typically worst in Oropesa del Mar? Winter high-pressure systems tend to produce the year's worst episodes, as still air traps traffic fumes and heating smoke at ground level. Spring generally sees a gradual recovery, driven by more frequent rain showers and stronger breezes that prevent pollutants from settling. Summer's combination of intense sun and high temperatures makes ozone the main concern, occasionally compounded by wildfire smoke during dry, windy spells. Autumn is typically a recovery period, with increasing rainfall and cooler air gradually reducing both ozone and traffic-related pollution. This Mediterranean location benefits from regular sea breezes, though summer's higher traffic volumes and occasional Saharan dust events can offset that.

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.