Abstract
Abstract. Chemical mechanism reduction is common practice in combustion research for
accelerating numerical simulations; however, there have been limited
applications of this practice in atmospheric chemistry. In this study, we
employ a powerful reduction method in order to produce a skeletal mechanism
of an atmospheric chemistry code that is commonly used in air quality and
climate modelling. The skeletal mechanism is developed using input data from
a model scenario. Its performance is then evaluated both a priori against the
model scenario results and a posteriori by implementing the skeletal
mechanism in a chemistry transport model, namely the Weather Research and
Forecasting code with Chemistry. Preliminary results, indicate a substantial
increase in computational speed-up for both cases, with a minimal loss of
accuracy with regards to the simulated spatio-temporal mixing ratio of the
target species, which was selected to be ozone.
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