The MOGUNTIA model has mostly been used for chemistry applications. For instance, Crutzen and Zimmermann (1991) studied the changes in the atmospheric composition due to the rising concentrations of methane and CO. It was concluded that the oxidizing capacity of the atmosphere has probably been diminished due to these concentration increases.
Dentener and Crutzen (1993) studied the role of heterogeneous reactions on aerosols in the nitrogen budget. It was concluded that it is important to include nitrogen removal by sulfate aerosols in atmospheric chemistry models, especially during night-time condition (polar winter).
Kanakidou and Crutzen (1993) compared two dimensional results to three dimensional (3D) results by using longitudinally uniform and varying emissions of reactive tracers in MOGUNTIA. It was concluded that a full 3D treatment is necessary for short lived compounds like nitrogen oxides (NOx) and non-methane hydrocarbons (NHMC).
Krol and van Weele (1997) used MOGUNTIA to study the effects of global photolysis rates on tropospheric chemistry. It appeared that clouds have only a small (net) effect on the oxidizing capacity of the troposphere as modeled with MOGUNTIA. Effects below clouds are compensated by effects above clouds.
Finally, Krol et al. (1998) used MOGUNTIA in an inverse modeling study the oxidizing capacity of the troposphere. A Monte Carlo approach (many model runs with stochastically varying parameters) was used to estimate a positive trend in OH based on methyl chloroform measurements over the period 1979-1993.
Since computer power increases since the the 1980's, it is now possible to perform long integrations (many years) with elaborate chemistry. MOGUNTIA has now also been adapted for Macintosh, where it is used for educational purposes.
MOGUNTIA is still used scientifically, but mostly for sensitivity analysis and tryout model for more advanced models.