Atmospheric Chemistry and Physics Discussions
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10.5194/acpd-7-15155-2007
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http://www.atmos-chem-phys-discuss.net/7/15155/2007/acpd-7-15155-2007.pdf
15155
15188
2007-10-19
Nitrogen Oxide biogenic emissions from soils: impact on NO<sub>x</sub> and ozone formation in West Africa during AMMA (African Monsoon Multidisciplinary Analysis)
C. Delon
C. E. Reeves
D. J. Stewart
D. Serça
R. Dupont
C. Mari
J.-P. Chaboureau
P. Tulet
Laboratoire d'Aérologie, Université de Toulouse and CNRS, Toulouse, France
School of Environmental Sciences, University of East Anglia, Norwich, UK
CNRM/GMEI, Météo-France, Toulouse, France
Nitrogen Oxide biogenic emissions from soils are driven by soil and
environmental parameters. The relationship between these parameters and
NO fluxes is highly non linear. A new algorithm, based on a neural
network calculation, is used to reproduce the NO biogenic emissions in
West Africa during the AMMA campaign, in August 2006. It has been coupled in
the surface scheme of a coupled chemistry dynamics model to estimate the
impact of the NO emissions on NO<sub>x</sub> and O<sub>3</sub> formation in
the lower troposphere. Four different simulations on the same domain and at
the same period are compared: CTRL run (without soil NO emissions), YL95 run
(with NO emissions inventory, at low time and space resolution), SOILNOx run
(with NO emissions from neural network) and ALLNOx run (with NO
from neural network). The influence of NO<sub>x</sub> from lightning is
assessed, and is limited to the upper troposphere. Compared to
parameterisations generally used at the global and regional scales, the
neural network parameterisation can give higher NO<sub>x</sub> (up to +380 ppt)
and ozone (up to +7ppb), closer to the ones measured in aircrafts during the
AMMA field campaign. The NO emission from soils calculated with neural
network responds to changes in soil moisture giving enhanced emissions over
the wetted soil, as observed by aircraft measurements after the passing of a
convective system, well reproduced by the model. Consecutive enhancement of
NO<sub>x</sub> and ozone is limited to the lowest layers of the atmosphere in
modelling, whereas measurements show higher levels above 500 m. This
equation allows an immediate response of fluxes to environmental parameters,
on the contrary to fixed emission inventories. The annual cycle of emissions
from this algorithm will be simulated in a future work
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