Geoscientific model development · 2010 · 262 citations · 76 references
Natural SciencesEarth SciencesAir PollutionAtmospheric ChemistryAtmospheric ScienceAerosol ChemistryAerosol PhysicsAerosol ScienceParticulate MatterAerosol Chemical CompositionAerosol Microphysical PropertiesAerosol MicrophysicsAerosol ModelingAerosol Particle Size DistributionAerosol Size DistributionAtmospheric Aerosol ChemistryAtmospheric Chemistry Modeling
Abstract. We present a new aerosol microphysics and gas aerosol partitioning submodel (Global Modal-aerosol eXtension, GMXe) implemented within the ECHAM/MESSy Atmospheric Chemistry model (EMAC, version 1.8). The submodel is computationally efficient and is suitable for medium to long term simulations with global and regional models. The aerosol size distribution is treated using 7 log-normal modes and has the same microphysical core as the M7 submodel (Vignati et al., 2004). The main developments in this work are: (i) the extension of the aerosol emission routines and the M7 microphysics, so that an increased (and variable) number of aerosol species can be treated (new species include sodium and chloride, and potentially magnesium, calcium, and potassium), (ii) the coupling of the aerosol microphysics to a choice of treatments of gas/aerosol partitioning to allow the treatment of semi-volatile aerosol, and, (iii) the implementation and evaluation of the developed submodel within the EMAC model of atmospheric chemistry. Simulated concentrations of black carbon, particulate organic matter, dust, sea spray, sulfate and ammonium aerosol are shown to be in good agreement with observations (for all species at least 40% of modeled values are within a factor of 2 of the observations). The distribution of nitrate aerosol is compared to observations in both clean and polluted regions. Concentrations in polluted continental regions are simulated quite well, but there is a general tendency to overestimate nitrate, particularly in coastal regions (geometric mean of modelled values/geometric mean of observed data ≈2). In all regions considered more than 40% of nitrate concentrations are within a factor of two of the observations. Marine nitrate concentrations are well captured with 96% of modeled values within a factor of 2 of the observations.
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Q. Zhang, J. L. Jiménez, Manjula R. Canagaratna et al. · Geophysical Research Letters · 2007 · 2.9K citations · Full text
Sources and distributions of dust aerosols simulated with the GOCART model
Paul Ginoux, Mian Chin, Ina Tegen et al. · Journal of Geophysical Research Atmospheres · 2001 · 2.4K citations · Full text
C. Fountoukis, Athanasios Nenes · Atmospheric chemistry and physics · 2007 · 2K citations · Full text
Natural Sciences, Chemistry, Computational Thermodynamics +16