Air quality
Air quality models are effective tools to predict and assess the dynamics of regulated air pollutants. Based on atmospheric modelling, we generate air quality information and develop services, including daily forecasts of air pollutants, and also sand and dust. This information is key for optimal decision-making and planning to tackle air pollution, protect citizens' health and improve well-being.
What we do
We take advantage of the MareNostrum supercomputer, hosted at the Barcelona Supercomputing Center, to develop and improve air quality modelling at global, regional and urban scales. This can provide a comprehensive description of air quality problems, considering the emission sources and the atmospheric conditions.
Models can be used in a complementary manner to observational data in order to monitor air quality and conduct air quality assessment and planning. Based on computer modelling, we develop air quality services, including short-term forecasts on the concentration of the main regulated pollutants at different spatial scales.
Our co-production approach allows knowledge exchange between service providers and users. This enables the creation of user-relevant information, the development of new data processing techniques, and the delivery of services that explore the role of visualisation and communication to improve the usability of air quality information.
Our air quality services are key tools to tackle air pollution, an issue of major concern, especially in urban areas, due to the high level of emissions from road traffic, residential combustion concentrations and unfavourable conditions for the dispersion of contaminants.
Success Story
CALIOPE: Operational air quality forecast system
Our operational air quality forecasting system CALIOPE has been informing citizens and governments about air pollution for more than 10 years.
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Our partners and collaborators
Some of the companies and institutions that collaborate with us
