Our suite of MappAir models

City models use the most advanced modelling techniques to create a high resolution, high accuracy model of air pollution at a city level of up to 10-meter spatial resolution. Gain a detailed view of how pollution moves around buildings in built up areas.

Local authorities and businesses can integrate city modelled data to identify and mitigate air pollution at congested road junctions, influence intelligent transport systems, smart city, and clean routing applications to provide the most detailed air pollution data for your city.

City models have scenario planning and source apportionment capabilities which can be integrated into existing systems to help identify pollution sources and local signals to allow for reactive, real-time decision making.

Covering the whole UK utilising a number of third-party data sources, including regional air quality data from the Copernicus Atmosphere Monitoring Service (CAMS) and national weather models from the Met Office. The national MappAir model provides unrivalled spatial and temporal resolution for PM2.5 and NO2.

Local authorities can gain detailed insight into how a city is living and breathing, and gain an understanding of local vs regional contributions to air quality. It allows mitigation of pollution hotspots and informs planning decisions for effective management of air pollution. Businesses can overlay or integrate air quality data into their product or service and set alerts or triggers for health interventions and traffic management and use near real-time data for measuring the effectiveness of interventions.

Worldwide coverage of ambient air pollution utilising the industry leading Copernicus satellite service. The global model provides hourly, and 48-hour forecast data for nitrogen dioxide (NO₂), ozone (O₃), sulphur dioxide (SO₂) and particulate matter (PM₂.₅) and (PM₁₀).

Global air quality data allows businesses to understand and evidence the effectiveness of pollution-lowering initiatives and identify trends for future strategies. It allows businesses and governments to understand economic, cultural, and environmental factors affecting air quality for whole continents to help drive legislation. Government users can also gain insights into regional dispersion events and use data to notify communities and the public of forecast pollution spikes helping to drive behavioural change.