5 steps to adopt the Enfuser air quality model

Artikkelikuva: 5 steps to adopt the Enfuser air quality model

The FMI-Enfuser is a novel air quality model developed by the Finnish Meteorological Institute that combines dispersion modelling techniques, information fusion algorithms and statistical approaches.

The operational modelling system provides both real-time and forecasted, high resolution information on the urban air quality. The data can be used i.e. for route optimisation or for building pollution prediction systems.

In other words, the model maps out an air quality image of an area using available meteorological and environmental data, such as traffic flows and weather conditions. The model reflects that to the air quality data provided by high-end air quality monitoring stations around the city.

Accurate air quality data

The model then projects this information to a 3D image of an urban area to assess the dispersion of air particles and gases, namely PM2.5, PM10, NO2, CO, and O3. This information can be accessed through the WFS interface that provides near real-time information about the Helsinki metropolitan air quality concentrations. The dataset is updated hourly.

The model, as well as the sensor data, is free to use. The FMI-Enfuser and the air quality data use a Creative Commons license.

Want to know more?

Here are a few steps for getting started with modelled air quality data:

  1. Download the dataset
    The data is open for all and can be retrieved via FMI’s catalog service:
  2. Get accustomed to the Enfuser NetCDF data format
    The NetCDF data format describes itself and its relations through a range of variables. The documentation can be found here: https://www.unidata.ucar.edu/software/netcdf/docs/
  3. Interpret the values: https://en.ilmatieteenlaitos.fi/air-quality-index
  4. Use, enrich and play with the data and the model any way you see fit!
  5. As a final step, watch this webinar 6 March 2019 with hands on examples on how to tackle some potential challenges you might face:

The FMI-Enfuser model is currently being utilized i.e. in the SynchroniCity- and Select4Cities-projects for air quality route optimisation and platform validation. The projects are funded by the Horizon2020 fund.

IoT program: https://forumvirium.fi/iot-ohjelman-ensimetrit/

IoT program project portfolio:



FVH’s IoT program develops data collection methods in Helsinki. The work is based on the transparency of data and the IoT ecosystem. The aim is to make Helsinki the best possible framework for using the Internet of Things. In addition to the development, Helsinki provides opportunities for experiments with several different sensors and platforms as well as the LoRaWAN and 5G networks.

Artikkelin kuva: Riku Pihlanto, City of Helsinki

Further information


Veli Airikkala

Mobile: +358 50 522 9985

More reading