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COST 728

COST 728 Enhancing Meso-Scale Meteorological Modelling Capabilities for Air Pollution and Dispersion Applications. COST 728. Enhancing Meso-Scale Meteorological Modelling Capabilities for Air Pollution and Dispersion Applications Objectives:

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COST 728

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  1. COST 728Enhancing Meso-Scale Meteorological Modelling Capabilities for Air Pollution and Dispersion Applications

  2. COST 728 • Enhancing Meso-Scale Meteorological Modelling Capabilities for Air Pollution and Dispersion Applications • Objectives: • Documentation of models, parameterizations, applications • Review of existing methodologies • Classify air quality and dispersion applications • Establish parameterizations which are poorly treated for air quality and dispersion modeling • Overview of strategies for integrating meteorological models (MetM) and chemistry transport models (CTM) • Formulate requirements for MetMs and model interfaces • Recommendations for developing, running and validating air quality models

  3. COST 728 (2) • Objectives (2) • Examine ability and limitations of MetM-CTMs to predict pollution episodes • Identify improvements in MetM-CTMs • Document operational procedures for employing MetM-CTMs • Recommend validation procedures • Identify main requirements for integrated modelling capability for Europe • Increase accessibility of mesoscale models • Produce guidance for using mesoscale models • Duration 2005 – 2009

  4. COST 728 (3) • Working Groups • WG1: Meteorological parameterizations/applicatons • WG2: Integrated systems of MetM and CTM: Strategy, interfaces and module unification • WG3: Mesoscale models for air pollution and dispersion applications • WG4: Development of evaluation tools and methodologies

  5. Swiss Contribution (EPFL, PSI, MeteoSwiss, EMPA) • Meteorological pre-processor (interface between MetM and CTM) to generate parameters for dispersion models from LM output • New turbulence parameterization for urban areas • Downscaling approach for dispersion-relevant parameters • Use of subgrid-scale variability of external parameters • Sensitivity of dispersion characteristics to sub-grid scale variability • Use of shallow convection parametrization for dispersion modelling • Testing of modelling system with real case application

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