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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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Discussion papers
https://doi.org/10.5194/gmd-2019-124
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2019-124
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Model description paper 02 Jul 2019

Model description paper | 02 Jul 2019

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This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

Bolchem: an On-Line Coupled Mesoscale Chemistry Model

Rita Cesari1, Alberto Maurizi2,3, Massimo D'Isidoro4, Tony Christian Landi2, Mihaela Mircea4, Felicita Russo4, Piero Malguzzi2, and Francesco Tampieri2 Rita Cesari et al.
  • 1CNR ISAC, Institute of Atmospheric Sciences and Climate, Strada Prov.le Lecce-Monteroni Km 1,200, 73100 Lecce, Italy
  • 2CNR ISAC, Institute of Atmospheric Sciences and Climate, Via Gobetti 101, 40129 Bologna, Italy
  • 3CNR IMM, Institute for Microelectronics and Microsystems, Via Gobetti 101, 40129 Bologna, Italy
  • 4ENEA, Air Pollution Laboratory, Via Martiri di Monte Sole 4, 40129 Bologna, Italy

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 integretation step, by means of operator splitting method. The paper describes the model and shows the model performances at continental scale for oneyear run (December 2009–November 2010). The results show that BOLCHEM reproduces both O3 and PM10 at surface. For O3, we found the best agreement in the summer, with a correlation coefficient R of 0.7 and mean bias of 4.0. On the contrary, PM10 is better reproduced in the winter, with a correlation coefficient R of 0.6 and the mean bias MB of 6.7.

Rita Cesari et al.
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Rita Cesari et al.
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Short summary
This work presents the on-line coupled meteorology-chemistry transport model BOLCHEM. The paper describes the meteorological and chemical modules, and presents simulation results on the European domain for one year run. For all considered pollutants (O3, NO2, PM10, PM2.5) the model performances are close to those achieved by the current state-of-the-art model system dedicated to air quality study, e.g. Copernicus CAMS products.
This work presents the on-line coupled meteorology-chemistry transport model BOLCHEM. The paper...
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