A comparison of two chemistry and aerosol schemes on the regional scale and the resulting impact on radiative properties and liquid- and ice-phase aerosol–cloud interactions
The complexity of atmospheric aerosol causes large uncertainties in its parameterization in atmospheric models. In a process-based comparison of two aerosol and chemistry schemes within the regional atmospheric modeling framework COSMO-ART (Consortium for Small-Scale Modelling, Aersosol and Rea...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2017-07-01
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Series: | Atmospheric Chemistry and Physics |
Online Access: | https://www.atmos-chem-phys.net/17/8651/2017/acp-17-8651-2017.pdf |
Summary: | The complexity
of atmospheric aerosol causes large uncertainties in its parameterization in
atmospheric models. In a process-based comparison of two aerosol and
chemistry schemes within the regional atmospheric modeling framework
COSMO-ART (Consortium for Small-Scale Modelling, Aersosol and
Reactive Trace gases extension), we identify key sensitivities of aerosol
parameterizations. We consider the aerosol module MADE (Modal Aerosol
Dynamics model for Europe) in combination with full gas-phase chemistry
and the aerosol module M7 in combination with a constant-oxidant-field-based
sulfur cycle. For a Saharan dust outbreak reaching Europe, modeled aerosol
populations are more sensitive to structural differences between the schemes,
in particular the consideration of aqueous-phase sulfate production, the
selection of aerosol species and modes, and modal composition, than to
parametric choices like modal standard deviation and the parameterization of
aerosol dynamics. The same observation applies to aerosol optical depth (AOD)
and the concentrations of cloud condensation nuclei (CCN). Differences in the
concentrations of ice-nucleating particles (INPs) are masked by uncertainties
between two ice-nucleation parameterizations and their coupling to the
aerosol scheme. Differences in cloud droplet and ice crystal number
concentrations are buffered by cloud microphysics as we show in a
susceptibility analysis. |
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ISSN: | 1680-7316 1680-7324 |