BOLCHEM is a Coupled Composition and Meteorology Model (CCMM) in which meteorology component is borrowed from BOLAM that also accounts for advection and diffusion of atmospheric components. The composition part consists of several modules that take care of other processes (sedimentation, dry deposition, wet removal, natural source emissions, ...) and that complement two mechanisms for gas chemistry (SAPRC90, Carter, 1990) and aerosol dynamics (AERO3, Binkowski et al., 2003). BOLCHEM (Mircea et al., 2008, Maurizi et al., 2010) is designed mostly for air quality simulations and atmospheric composition-dynamics interaction studies. Concerning the online coupling between Composition and Meteorology the direct effect is already available while the indirect effect is under development. Particular attention was devoted to internal consistency between meteorology and chemistry with particular attention to the mass conservation of pollutants (Maurizi et al., 2013). All the natural sources (biogenic gases, sea salt, mineral dust) are computed online with the meteorology and use the actual values of meteorological variables (temperature, radiation, humidity, friction velocity, ...).

When development started (Butenschoen et al., 2003), BOLCHEM was among the few first online coupled models. It participated to the GEMS FP6 Regional Air Quality subproject with relatively good results and continued within the MACC FP7 Project. Moreover, it was member of the group of models used in climatology-composition interaction in the frame of the CityZen FP7 project. It was used in several atmospheric composition studies:

  • Impact of ship emissions on local air quality in a Mediterranean city's harbour after the European sulphur directive (Buccolieri et al, 2016)
  • Modelled NO2 tropospheric columns at different resolutions versus OMI satellite data: analysis of a 1-year BOLCHEM simulation over Europe (Aidaoui et al, 2015)
  • Modelling dispersion of smoke from wildfires in a Mediterranean area (Cesari et al, 2014)
  • Future air quality in Europe: a multi-model assessment of projected exposure to ozone (Colette, 2012)
  • Nudging technique for scale bridging in air quality/climate atmospheric composition modelling (Maurizi et al.,2012)
  • 3-D evaluation of tropospheric ozone simulations by an ensemble of regional Chemistry Transport Model (Zyryanov, 2012)
  • Air Quality Trends in European Pollution Hotspots: Overview of CityZen multi-model hindcasts and projections (Air Quality Trends in European Pollution Hotspots: Overview of CityZen multi-model hindcasts and projections (Colette et al., 2012)
  • Clean air for future generations: a multi-model investigation of air quality projections (Colette et al., 2012)
  • mpact of assimilated observations on improving tropospheric ozone simulations (Messina et al., 2011)
  • Air quality trends in Europe over the past decade: a first multi-model assessment (Colette et al., 2011)
  • Comparison of OMI NO 2 tropospheric columns with an ensemble of global and European regional air quality models (Huijnen et al, 2010)
  • Effects of resolution on the relative importance of numerical and physical horizontal diffusion in atmospheric composition modelling (D’Isidoro et al., 2010)
email contact:,
Alberto Maurizi