This work presents the on-line coupled meteorology-chemistry transport model BOLCHEM, based on the hydrostatic meteorological BOLAM model, the gas chemistry module SAPRC90, and the aerosol dynamic module AERO3. It includes parameterizations to describe natural source emissions, dry and wet removal processes, as well as the transport and dispersion of air pollutants. The equations for different processes are solved on the same grid during the same integration step, by means of a time-split scheme. This paper describes the model and its performance at horizontal resolution of 0.2?× 0.2? over Europe and 0.1?× 0.1? in a nested configuration over Italy, for one year run (December 2009-November 2010). The model has been evaluated against the AIRBASE data of the European Environmental Agency. The basic statistics for higher resolution simulations of O, NO and particulate matter concentrations (PM2.5 and PM) have been compared with those from Copernicus Atmosphere Monitoring Service (CAMS) ensemble median. In summer, for O we found a correlation coefficient R of 0.72 and mean bias of 2.15 over European domain and a correlation coefficient R of 0.67 and mean bias of 2.36 over Italian domain. PM and PM2.5 are better reproduced in the winter, the latter with a correlation coefficient R of 0.66 and the mean bias MB of 0.35 over Italian domain.
The on-line integrated mesoscale chemistry model bolchem
Cesari, Rita;Landi, Tony Christian;Malguzzi, Piero;Tampieri, Francesco;Maurizi, Alberto
2021
Abstract
This work presents the on-line coupled meteorology-chemistry transport model BOLCHEM, based on the hydrostatic meteorological BOLAM model, the gas chemistry module SAPRC90, and the aerosol dynamic module AERO3. It includes parameterizations to describe natural source emissions, dry and wet removal processes, as well as the transport and dispersion of air pollutants. The equations for different processes are solved on the same grid during the same integration step, by means of a time-split scheme. This paper describes the model and its performance at horizontal resolution of 0.2?× 0.2? over Europe and 0.1?× 0.1? in a nested configuration over Italy, for one year run (December 2009-November 2010). The model has been evaluated against the AIRBASE data of the European Environmental Agency. The basic statistics for higher resolution simulations of O, NO and particulate matter concentrations (PM2.5 and PM) have been compared with those from Copernicus Atmosphere Monitoring Service (CAMS) ensemble median. In summer, for O we found a correlation coefficient R of 0.72 and mean bias of 2.15 over European domain and a correlation coefficient R of 0.67 and mean bias of 2.36 over Italian domain. PM and PM2.5 are better reproduced in the winter, the latter with a correlation coefficient R of 0.66 and the mean bias MB of 0.35 over Italian domain.File | Dimensione | Formato | |
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Descrizione: Atmosphere 2021, 12, 192. https://doi.org/10.3390/atmos12020192
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