Worst air pollution Ciudad de las Artes y las Ciencias - Valencia, today and tomorrow

On 9 August 2026, overall air quality in Ciudad de las Artes y las Ciencias is fair. AQI is the main air quality indicator at 35.7/100. Pollution peaks around 6:00 PM (O3: 35.7/100).

On 10 August 2026, air quality conditions in Ciudad de las Artes y las Ciencias will be similar to today, with AQI forecast at fair at 34.8/100. Pollution peaks around 2:00 PM (O3: 34.8/100).

What time of year has the cleanest air in Ciudad de las Artes y las Ciencias? The coldest months usually see the year's poorest conditions, since calm anticyclonic weather holds local traffic and wood-burning pollution near street level. Conditions generally start to recover in spring, as increasing wind and rainfall break up the stagnant air masses typical of winter. Summer's combination of intense sun and high temperatures makes ozone the main concern, occasionally compounded by wildfire smoke during dry, windy spells. Conditions generally improve through autumn as cooling temperatures reduce ozone formation and returning rains help disperse remaining pollutants. Sea breezes along this stretch of coast generally support air quality, but summer holiday traffic and occasional calima dust events can interrupt 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.