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Forecasting Urban Meteorology, Air Pollution and Population Exposure (European FUMAPEX Project)

  • A. Baklanov
  • N. Bjergene
  • B. Fay
  • S. Finardi
  • A. Gross
  • M. Jantunen
  • J. Kukkonen
  • A. Rasmussen
  • A. Skouloudis
  • L. H. Slørdal
  • R. S. Sokhi

The main problem in forecasting urban air pollution is the prediction of episodes with high pollutant concentrations in urban areas, where most of the well-known methods and models based on in situ meteorological measurements, fail to realistically produce the meteorological input fields for the urban air pollution (UAP) models. UAP models in operational urban air quality information and forecasting systems, as a rule, use simple in-situ meteorological measurements which are fed into meteorological pre-processors (Fig. 1, dash line). Lacking an adequate description of physical phenomena and the complex data assimilation and parameterisations of numerical weather prediction (NWP) models, these pre-processors do not achieve the potential of NWP models in providing all the meteorological fields needed by modern UAP models to improve urban air quality forecasts.

Keywords

Roughness Length Street Canyon Numerical Weather Prediction Urban Canopy Numerical Weather Prediction Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2007

Authors and Affiliations

  • A. Baklanov
    • 1
  • N. Bjergene
    • 1
  • B. Fay
    • 1
  • S. Finardi
    • 2
  • A. Gross
    • 1
  • M. Jantunen
    • 1
  • J. Kukkonen
    • 1
  • A. Rasmussen
    • 1
  • A. Skouloudis
    • 1
  • L. H. Slørdal
    • 3
  • R. S. Sokhi
    • 4
  1. 1.Danish Meteorological InstituteMeteorological Research DivisionCopenhagen ØDenmark
  2. 2.ArianetMilanItaly
  3. 3.Norwegian Institute for Air Research (NILU)KjellerNorway
  4. 4.University of Hertfordshire (UH)HatfieldUK

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