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Ann. Geophys., 20, 2039-2045, 2002
www.ann-geophys.net/20/2039/2002/
© European Geosciences Union 2002
Effects of temperature dependence of reaction N2(A3 S+u) + O ongreenline dayglow emission
A. K. Upadhayaya and V. Singh
Department of Physics, IIT Roorkee 247667, India
Correspondence to: V. Singh (virphfph@iitr.ernet.in)
Abstract. The greenline dayglow
emission profiles measured by the Wind Imaging Interferometer (WINDII) on the
Upper Atmosphere Research Satellite (UARS) are modelled using recently proposed
revisions to the temperature dependent rate coefficient of the reaction N2
(A3 S+u ) + O in
the glow model. The volume emission rates of greenline dayglow emissions are
calculated using the Hinteregger et al. (1981) and Tobiska (1991) solar flux
models. It is found that the average modelled profiles obtained using the
Hinteregger et al. (1981) solar flux model with the temperature dependent rate
coefficient and a quantum yield of 0.36 for the reaction N2 (A3
S+u ) + O agree to within 8%
of the observed profiles in the thermospheric peak region, which shows
significant improvement over the earlier results (20% smaller than WINDII
results) obtained using the temperature independent reaction rate coefficient.
On the other hand, the average modelled profiles obtained with a temperature
dependent rate coefficient in the Tobiska (1991) solar flux model are about 12%
higher than the WINDII results, whereas with the temperature independent rate
coefficient the results are about 10% smaller than the WINDII results in the
thermospheric peak region. The present study reveals that the emission profiles
obtained using the Hinteregger et al. (1981) solar flux model, along with the
temperature dependent rate coefficient and a quantum yield of 0.36 for the
reaction N2 (A3 S+u
) + O in glow model, reproduce the thermospheric emission peak as observed by
WINDII, a capability which eluded earlier models. These findings support the
newly discovered temperature dependence of the rate coefficient of re-action N2
(A3 S+u ) with O.
Key words. Ionosphere (ionization
mechanisms; modeling and forecasting; general or miscellaneous)
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