Water, Air and Soil Pollution: Focus

, Volume 2, Issue 5–6, pp 43–60 | Cite as

Potential and Shortcomings of Numerical Weather Prediction Models in Providing Meteorological Data for Urban Air Pollution Forecasting

  • Alexander Baklanov
  • Alix Rasmussen
  • Barbara Fay
  • Erik Berge
  • Sandro Finardi


The last decade progress in numericalweather prediction (NWP) modelling and studies of urbanatmospheric processes for providing meteorological data forurban air pollution forecasting is analysed on examples ofseveral European meteorological centres. Modern nested NWP models are utilising land-use databasesdown to 1 km resolution or finer, and are approaching thenecessary horizontal and vertical resolution suitable forcity scale. The recent scientific developments in the fieldof urban atmospheric physics and the growing availabilityof high-resolution urban surface characteristics datapromise further improvements of the capability of NWPmodels for this aim. A strategy to improve NWP data forthe urban air pollution forecasting is suggested.

numerical weather prediction models operational urban air quality information and forecastingsystems urban air pollution episodes urban boundary layer 


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Copyright information

© Kluwer Academic Publishers 2002

Authors and Affiliations

  • Alexander Baklanov
  • Alix Rasmussen
  • Barbara Fay
    • 1
  • Erik Berge
    • 2
  • Sandro Finardi
    • 3
  1. 1.Germany
  2. 2.Norway
  3. 3.Italy

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