Atmospheric Chemistry and Physics
www.atmos-chem-phys.net
1680-7316
1680-7324
8
12
2008
10.5194/acp-8-3255-2008
http://www.atmos-chem-phys.net/8/3255/2008/
http://www.atmos-chem-phys.net/8/3255/2008/acp-8-3255-2008.html
http://www.atmos-chem-phys.net/8/3255/2008/acp-8-3255-2008.pdf
3255
3281
2008-06-27
GEM-AQ, an on-line global multiscale chemical weather modelling system: model description and evaluation of gas phase chemistry processes
J. W. Kaminski
jacek@yorku.ca
L. Neary
J. Struzewska
J. C. McConnell
A. Lupu
J. Jarosz
K. Toyota
S. L. Gong
J. Côté
X. Liu
K. Chance
A. Richter
Atmospheric Modelling and Data Assimilation Laboratory, Centre for Research in Earth and Space Science, York University, Toronto, Canada
Faculty of Environmental Engineering, Warsaw University of Technology, Warsaw, Poland
Science and Technology Branch, Environment Canada, Toronto, Canada
Science and Technology Branch, Environment Canada, Montréal, Canada
Smithsonian Astrophysical Observatory, Cambridge, MA, USA
Institute of Environmental Physics, University of Bremen, Germany
now at: Goddard Earth Sciences and Technology, University of Maryland Baltimore County, Baltimore, MD, USA
Tropospheric chemistry and air quality processes were implemented on-line in the
Global Environmental Multiscale weather prediction model. The integrated model,
GEM-AQ, was developed as a platform to investigate chemical weather at scales from
global to urban. The current chemical mechanism is comprised of 50 gas-phase species,
116 chemical and 19 photolysis reactions, and is complemented by a sectional aerosol
module with 5 aerosols types. All tracers are advected using the semi-Lagrangian scheme
native to GEM. The vertical transport includes parameterized subgrid-scale turbulence
and large scale deep convection. Dry deposition is included as a flux boundary condition
in the vertical diffusion equation. Wet deposition of gas-phase species is treated in a
simplified way, and only below-cloud scavenging is considered. The emissions used include
yearly-averaged anthropogenic, and monthly-averaged biogenic, ocean, soil, and biomass burning
emission fluxes, as well as NO<sub>x</sub> from lightning. In order to evaluate the ability to
simulate seasonal variations and regional distributions of trace gases such as ozone,
nitrogen dioxide and carbon monoxide, the model was run for a period of five years (2001–2005)
on a global uniform 1.5°×1.5° horizontal resolution domain and 28 hybrid
levels extending up to 10 hPa. Model results were compared with observations from satellites,
aircraft measurement campaigns and balloon sondes. We find that GEM-AQ is able to capture the
spatial details of the chemical fields in the middle and lower troposphere. The modelled
ozone consistently shows good agreement with observations, except over tropical oceans. The
comparison of carbon monoxide and nitrogen dioxide with satellite measurements emphasizes
the need for more accurate, year-specific emissions fluxes for biomass burning and anthropogenic
sources. Other species also compare well with available observations.
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