The prediction of fog occurrence, extent, duration, and intensity rema
ins difficult despite improvements in numerical guidance and modeling
of the fog phenomenon. This is because of the dependency of fog on mic
rophysical and mesoscale processes that act within the boundary layer
and that, in turn, are forced by the prevailing synoptic regime. Given
existing and new technologies and techniques already available to the
operational forecaster, fog prediction may be improved by the develop
ment and application of a simple conceptual model. A preliminary attem
pt at such a model is presented for the southern region of the United
States (gulf coastal states) and requires information regarding cloud
condensation nuclei, moisture availability (or saturation), and dynami
c forcing. Each of these factors are assessed with regard to their ext
ent and evolution with time. An illustration, and potential applicatio
n, of how the model could be used is detailed as no extensive operatio
nal testing has yet been completed. Instead, the model is applied in h
indcast to verify its application. Successful use of the model will re
quire an operational forecaster to assimilate all available tools incl
uding climatology, numerical guidance, sounding analysis, model diagno
stic software, and satellite imagery. These must be used to characteri
ze and quantify the nature of the local and regional boundary layer in
the forecast region according to macroscale forcing and moisture avai
lability, the initial local settings and boundary layer, qualitative a
ssessment of cloud condensation nuclei, and the interaction of these i
n time and space. Once identified, the evolution of the boundary layer
may be forecast with regard to the overall environment for fog occurr
ence, its likely extent, intensity, and duration.