Abstract
The study aims at examining the ability and the limitations of US EPA Models 3 system to adequately reproduce air pollution episodes and to evaluate the role of different processes in the PM10 pattern formation. The case study focuses on the meteorological situation in Germany in February and March of 2003 during which three major PM10 episodes could be identified.
The simulated meteorological fields agree well with the patterns described in the case study definition. The simulated PM10 concentrations are compared with measurements from the EMEP stations in Germany. The Integrated Process Rate Analysis function of CMAQ is applied for clarifying the role of different processes of transport and transformation in forming PM10 concentration peaks.
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Todorova, A. et al. (2010). Numerical Study of Some High PM10 Levels Episodes. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds) Large-Scale Scientific Computing. LSSC 2009. Lecture Notes in Computer Science, vol 5910. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12535-5_25
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DOI: https://doi.org/10.1007/978-3-642-12535-5_25
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