Global Air Quality Model
MappAir® is a high-resolution global model of air pollution that uses advanced modelling techniques, cloud-based data inputs including transport and weather data and applies machine learning technologies to create reliable and usable visualisations of air pollution around the world.
It allows users to understand key emission sources within an area of interest, complete with near real-time, historic and predicative air quality data for detailed and actionable insight into pollution trends.
Advanced Modelling Techniques
Using Computational Fluid Dynamics (CFD) to model the flow and dispersion of ambient air pollution around buildings & built-up areas to understand how local infrastructure affects air quality.
Near real-time pollution data
Identify pollution hotspots and episodes at peak times as they happen for busy road junctions and whole towns and cities.
Integrate MappAir® modelled data using an Application Programming Interface (API) into applications including website, mobile and third-party software solutions for smart cities, IoT and transport.
72-hour pollution forecasting
View forecast concentrations and signal upcoming pollution episodes allowing you to protect those vulnerable to respiratory illnesses or alert residents of predictive pollution spikes to drive behavioural change.
Hyper-local Annual Averages
Correlate the effects of air quality with other parameters on a national scale - such as hospital admission rates, social deprivation, school attendance rates and footfall.
Historical pollution data
Identify and understand long-term pollution exposure. Use historic data to influence and assess the success of strategic investment decisions and interventions for government, environmental agencies, research and planning.
Global Data Coverage
Worldwide coverage of ambient air pollution utilising the industry leading Copernicus satellite service. The global model provides near real-time and 72-hour forecast data for areas of interest.
Integrate Zephyr® Monitor Data
Integrate your measured Zephyr® air quality monitor data into the MappAir® model for a richer more accurate view of pollution.
City & Reactive Model
City & reactive models use the most advanced modelling techniques to create a high resolution and accurate air quality data up to 2m spatial resolution. Using CFD we can provide a detailed view of air disperses around buildings, sources and trends right down to a street corner.
We work with local governments looking to identify and mitigate air pollution at congested road junctions. We influence intelligent transport systems, smart city and clean routing applications to provide the most detailed air pollution data for your city.
Our national MappAir® dataset includes air quality data for whole countries hourly and as a 3-day forecast, with historic data available for the UK.
The national MappAir® product is tailored for applications aimed at identifying long-term exposure and providing guidance on health impacts. This can be used to influence strategic investment decisions and interventions for government and environmental agencies.
Available at a 100m resolution, modelled pollutants include NO2, PM2.5 and selected air quality indices.
MappAir® 2017 Annual Mean for PM2.5 in the UK
We can integrate global coverage of ambient air pollution data via our API into products and services including travel, active transport, fitness tracking and routing applications.
The global MappAir® product provides near real-time and forecast data, tailored to your specific global locations.
Modelled pollutants include NO2, O3, SO2, PM2.5 and PM10
Data is accessed via an API, delivering multiple data formats including csv, JSON and OGC compliant web services [WMS & WCS]
Web Mapping Service [WMS]
Data is delivered as mapped images.
Web Coverage Service [WCS]
Data is delivered as a raw data file.
Other Types of Access
Contact us if you require and alternative format for data access.