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.
2021
Istituto di Scienze dell'Atmosfera e del Clima - ISAC
Istituto di Scienze dell'Atmosfera e del Clima - ISAC - Sede Secondaria Lecce
Istituto per la Microelettronica e Microsistemi - IMM - Sede Secondaria Bologna
BOLCHEM
Europe
Italy
Mesoscale chemistry model
On-line model
Ozone
Particulate matter
Regional air quality modeling
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Descrizione: Atmosphere 2021, 12, 192. https://doi.org/10.3390/atmos12020192
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/397218
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