FUMAPEX

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Integrated Systems for Forecasting Urban Meteorology, Air Pollution and Population Exposure (FUMAPEX)

Research team at KTL

  • Matti Jantunen, prof.
  • Vito Ilacqua, PhD
  • Otto Hänninen, FM

Collaboration

  • German Weather Service Germany
  • Hamburg University Germany
  • Centro De Estudios Ambientales Del Mediterrano Spain
  • Ecole Centrale de Nantes France
  • Finnish Meteorological Institute Finland
  • ARIANET Consulting Italy
  • Environmental Protection Agency of Emilia-Romagna Region Italy
  • The Norwegian Meteorological Institute Norway
  • Norwegian Institute for Air Research Norway
  • University of Hertfordshire UK
  • INSA CNRS-Universite-INSA de Rouen France
  • Environmental Protection Agency of Piedmont Italy
  • Environment Institute - Joint Research Center Italy
  • Swiss Federal Institute of Technology Switzerland

Funding

  • EU
  • national resources in each centre

Contact person

  • Matti Jantunen


Background

In order to diminish or prevent critical concentration levels, abatement action (such as traffic reduction) should be planned at least one-two days in advance. Often no effective action can be imposed because no or only inadequate forecasting models exist. In some European cities, early warning systems like Urban Air Quality Information and Forecasting Systems (UAQIFS) are already employed. They need to be improved, verified, supplemented by meteorological prediction and population exposure models, and then implemented more widely in Europe for providing better protection of human and environmental health in cities and urbanised regions with ever-increasing population.

Objectives

The main objectives of the project are thus the improvement of meteorological forecasts for urban areas, the connection of NWP models to UAP and exposure models, the building of improved UAQIFS, and their application in cities in various European climates.

Description

The quality of the urban air pollution forecast and the UAQIFS critically depend on the mapping of emissions, the urban air pollution (UAP) models, and the meteorological data.

The quality of the meteorological data should be largely enhanced by using downscaled data from advanced numerical weather prediction (NWP) models. These different topics, as well as the application of population exposure models, have traditionally been treated in distinct scientific and administrative communities whose expertise needs to be combined to enhance the possibilities of forecasting air pollution episodes in European cities. The main objectives of the project are thus the improvement of meteorological forecasts for urban areas, the connection of NWP models to UAP and exposure models, the building of improved UAQIFS, and their application in cities in various European climates.

The necessary steps will evolve in ten separate but inter-linked Work Packages realised by 16 participants and 6 subcontractors. They represent leading NWP centres, research organisations, and organisations responsible for urban air quality, population exposure forecast and control, and local/city authorities from ten European countries.

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