A computer simulation with a GILDES-based model using the COMSOL multiphysics software was performed for copper exposed to low concentrations of carboxylic acids in humidified air at room temperature. GILDES is a six-regime computer model (Gas, the Interface between gas and liquid, the Liquid, the Deposition layer, the Electrodic region near the surface and the Solid). The simulations were compared to previously published in-situ results for copper at the same conditions analysed by a quartz crystal microbalance (QCM) and infrared reflection absorption spectroscopy (IRAS). Experimental and calculated results agree with each other with respect to the effect of corrosion, showing formic acid as the most aggressive followed by acetic and propionic acid. This is supported by a higher ligand-and proton-promoted dissolution found in formic acid exposures, followed by acetic and propionic exposures. Atmospheric corrosion models are an important tool for the society. By aiding in proper material selection they can improve the functionality and safety of the different structures as well as electronic devices exposed to the atmosphere at different climatic conditions. Models of corrosion have traditionally been developed based on statistical analyses of field data by applying simple physical/chemical arguments, for example by separating the effect of dry and wet deposition into individual additive terms.1 The corrosion rate is usually correlated to measured environmental factors. These classification schemes have a limited accuracy, one reason being the effect of micro-climate, which means that corrosion rates can vary dramatically between locations that are only meters apart.2 However, examples of models based on first principles are starting to emerge. Spence and Haynie 3 and Lyon et al. 4 studied the processes of oxide dissolution and formation, and the electrochemical processes within a droplet on a metal surface. Cole et al.5 evaluated the deposition of gases and aerosols both inside and outside museums and the resulting effects on corrosion of cultural objects using a holistic model. The study shows the relative importance of different deposition mechanisms within a building, such as gravity, vortex shedding and, in the case of significant air flows, momentumdominated impact. Díaz and López 6 developed a deterministic model for the damage function of carbon steel expressed in terms of corrosion penetration as a function of environmental variables using an Artificial Neural Network (ANN) to fit the data. Cole et al.7 describe a multiscale (from global to micron) model for the prediction of atmospheric corrosion of zinc. The model is able to predict corrosion rates of metal components to enable appropriate material selection and to determine how microstructure and oxide development influence corrosion rates. Farrow et al. 8 in 1996, applied the mentioned GILDES model to perform the first theoretical mechanistic study of the atmospheric corrosion of zinc in a controlled environment. The results show that, under such co...