Recently, a detailed spectral-bin microphysical scheme was implemented into the Goddard Cumulus Ensemble (GCE) model. Atmospheric aerosols are also described using number density size-distribution functions. A spectral-bin microphysical model is very expensive from a computational point of view and has only been implemented into the 2D version of the GCE at the present time. The model is tested by studying the evolution of deep tropical clouds in the west Pacific warm pool region and summertime convection over a mid-latitude continent with different concentrations of CCN: a low "clean" concentration and a high "dirty" concentration. The impact of atmospheric aerosol concentration on cloud and precipitation will be investigated.

Protocol analysis is a valuable tool for gaining qualitative data from observations of programmer behaviour during software maintenance. However, there are some major drawbacks with protocol analysis as it is currently practiced. Firstly, protocol analysis requires a daunting amount of effort at each stage of analysis. Secondly, the results from one protocol analysis are often difficult to compare with results from another. The paper describes a coding scheme, AFECS, designed to reduce the effort required to perform protocol analysis and to resolve the problem of noncomparable results. AFECS uses codes that consist of expandable and flexible segments. This allows AFECS to be tailored to the requirements of a variety of research studies, while maintaining a degree of consistency. Explicit segmentation also makes AFECS easy to use. An example shows AFECS' use and ability to adapt to diverse research questions.