The air quality assessment system, which is now under development in Moscow region is designed to include the CHIMERE chemistry transport model (CTM) and the WRF (or MM5) mesoscale atmospheric model. CHIMERE enables simulations of air pollutant concentration fields, while the atmospheric model (AM) provides it with the necessary meteorological information. This article discusses numerical experiments performed in order to specify the optimal choice of the CTM and AM configurations and to insure satisfactory quality of the calculations of concentrations of gaseous species and aerosols. The experiments have been performed with both MM5 and WRF ARW; the latter is included in the computational module "AM-CTM", which can be used for the analysis and forecasting of the air quality. The experiments involved indicators recommended by WHO (O3 and PM10) and have yielded, in general, satisfactory agreement of simulations with air quality monitoring data, although they also revealed systematic biases in the simulated concentrations, which are likely caused by inaccuracies in the input emission data.
air quality, monitoring, forecasting, chemical transport model, numerical atmospheric model, validation of numerical models