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A Study of the Tracer Dispersion Model Snap Using Ensemble Forecasts and Its Evaluation by Using European Tracer Experiment Data

  • Anne Grete Straume
  • Ernest N’Dri Koffi
  • Katrin Nodop
Part of the NATO • Challenges of Modern Society book series (NATS, volume 22)

Abstract

Numerous numerical dispersion models have been developed to predict long range transport of hazardous air pollution in connection with accidental releases. When developing and evaluating such a model, it is important to detect uncertainties connected to insufficient characterization of the accidental release, the meteorological input data, errors in the formulation of the Numerical Weather Prediction (NWP) model, and errors in the formulation of the dispersion model.

Keywords

Ensemble Member Dispersion Model Numerical Weather Prediction Pearsons Product Moment Correlation Coefficient Ensemble 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.

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References

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Copyright information

© Springer Science+Business Media New York 1998

Authors and Affiliations

  • Anne Grete Straume
    • 1
  • Ernest N’Dri Koffi
    • 2
  • Katrin Nodop
    • 1
  1. 1.Environment InstituteJoint Research CentreIspra (VA)Italy
  2. 2.Laboratoire d’Aėrologie(UMR CNRS/UPS 5560) Universite Paul SabatierToulouseFrance

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