MM5 Fine Grid Simulations Over Athens Area, Greece: Assessment of One-Year Operational Use

  • K. Lagouvardos
  • V. Kotroni
Conference paper
Part of the NATO Science Series book series (NAIV, volume 30)


A prerequisite for accurate air pollution forecasts is the existence of reliable high resolution meteorological gridded data, provided by a prognostic meteorological modelling system, especially over regions characterized by complex terrain and significant land-sea variability. For that purpose, the National Observatory of Athens (NOA hereafter) started in June 2001 the operational execution of very-fine grid simulations, using the MM5 modelling system. This modelling effort follows the worldwide trend to use high-resolution numerical weather prediction models at operational basis, following the significant improvement of computing capabilities at prices that are continuously decreasing.


Mean Absolute Error Convective Parameterization Mean Error Athens Area Wind Speed Forecast 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Dudhia, J. (1993) A non-hydrostatic version of the Penn State/NCAR nesoscale model: validation tests and simulation of an Atlantic cyclone and cold front, Mon.Wea. Rev. 121, 1493–1513.CrossRefGoogle Scholar
  2. 2.
    Hong, S-Y and Pan, H-L. (1996) Diffusion in a medium-range forecast model, Mon.Wea. Rev., 124, 2322–2339.CrossRefGoogle Scholar
  3. 3.
    Kain, J.S., and Fritsch, J.M. (1993) Convective parameterization for mesoscale models: The Kain- Fritsch scheme. The Representation of Cumulus in numerical models, Meteor. Monogr., No 46, Amer. Met., Soc., 165–177.Google Scholar
  4. 4.
    Kotroni, V. and Lagouvardos, K. (2001) Precipitation forecast skill of different convective parameterization and microphysical schemes: application for the cold season over Greece, Geoph. Res. Let., Vol. 108, No 10, 1977–1980.CrossRefGoogle Scholar
  5. 5.
    Mass, C.F., Ovens, D., Westrick, K. and Colle, B. A. (2002) Does increasing horizontal resolution produce more skillful forecasts? Bull. Amer. Meteor. Soc. 83, 407–430.CrossRefGoogle Scholar
  6. 6.
    Schultz, P. (1995) An explicit cloud physics parameterization for operational numerical weather prediction. Mon. Wea. Rev. 123, 3331–3343.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2003

Authors and Affiliations

  • K. Lagouvardos
    • 1
  • V. Kotroni
    • 1
  1. 1.Institute of Environmental Research,National Observatory of Athens, Lofos KoufouPenteli, AthensGreece

Personalised recommendations