The atmosphere is an extremely complex fluid with nonlinear interactions over a wide range of scales. In order to help new and existing meteorologists better understand the atmosphere the Bureau of Meteorology Training Centre (BMTC) has developed a wide range of Computer Aided Learning (CAL) modules for visualising atmospheric processes and phenomena. These range from simple demonstration models for atmospheric processes to the animated display of satellite imagery and numerical prediction model output. This paper discusses the approaches used by BMTC. Examples of CAL modules illustrating these approaches will be demonstrated and are also available through ftp (ftp.met.ed.ac.uk).