Implementation and testing of a simple data assimilation algorithm in the regional air pollution forecast model, DEOM

@inproceedings{Frydendall2009ImplementationAT,
  title={Implementation and testing of a simple data assimilation algorithm in the regional air pollution forecast model, DEOM},
  author={Jan Frydendall and J{\o}rgen Brandt and Jesper H. Christensen},
  year={2009}
}
One of the main goals of air quality forecast models is to warn the public about potential exceedances of health-relevant pollutant thresholds. Therefore, the comparison of the reference run and the data assimilation runs should include categorical metrics such as false alarm rate, probability of detection, and critical success index for relevant ozone thresholds (e.g. 120, 180, and/or 240 micrograms per cubicmeter). This would provide additional evidence whether the data assimilation schemes… CONTINUE READING

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