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Forecasting the Ozone Concentrations with WRF and Artificial Neural Network Based System

  • Maciej Kryza
  • Paweł Netzel
  • Anetta Drzeniecka-Osiadacz
  • Małgorzata Werner
  • Anthony J. Dore
Conference paper
Part of the NATO Science for Peace and Security Series C: Environmental Security book series (NAPSC)

Abstract

The WRF model has been used to make forecasts for ozone, using an artificial neural network.

Keywords

WRF Forecasting Ozone 

Notes

Acknowledgments

Calculations have been carried out in Wroclaw Centre for Networking and Supercomputing (http://www.wcss.wroc.pl), grant No. 170. The Voivodeship Inspectorate for Environmental Protection in Wroclaw provided O3 measurements data.

References

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Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  • Maciej Kryza
    • 1
  • Paweł Netzel
    • 1
  • Anetta Drzeniecka-Osiadacz
    • 1
  • Małgorzata Werner
    • 1
  • Anthony J. Dore
    • 2
  1. 1.Department of Climatology and Atmosphere ProtectionWrocław UniversityWrocławPoland
  2. 2.Centre for Ecology and HydrologyEdinburghUK

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