An investigation was made to examine the occurrence of fog using a multimodal approach comprised of fog occurrence archival data, satellite datasets (including aerosols) and products (e.g., MODIS, GOES, and others), and numerical weather prediction model output and products. The intent was to demonstrate the ability to better portray and specify fog occurrence, coverage, and pattern in real-time using several operational tools – including fog evolutionary processes. These processes in the long term represent aerosol-cloud-climate interactions that are not well-known as related to operational evaluation. Since the multimodal approach provides for more accurate verification and diagnosis of fog processes in real-time, particularly in a forecast mode, and takes advantage of the latest technology available while also improving forecast and response; it may be of value in studying relevant climate interactions. These are enhanced by direct knowledge of aerosol distributions and characteristics which are involved in fog development. Additional satellite and remote sensing based platforms, data, and products were also analyzed with regard to identifying low level moisture distributions and profiles as well as local aerosol distributions and interactions that might offer clues on the myriad interactions. These were considered as tracers or precursors of the development and/or movement of fog and fog areas and may offer a means of climate-tracking based on a hazardous climate phenomenon's characteristics.