Winter conditions associated with freezing, thawing, and soil moisture
changes are important factors for a number of agricultural applicatio
ns. In this study, the SHAW (Simultaneous Heat And Water) model was ev
aluated on predicting winter conditions (i.e., soil temperature, moist
ure content, snow cover, and depth of frost penetration) at a natural
show covered site and a site with the snow removed for the winter seas
on of 1983-1984. The model successfully estimated the observed snow de
pth, the temperature extremes, and changes in total and liquid water c
ontent. Observerd maximum frost penetration was 1.02 m while the estim
ated was 1.04 m. The root mean square (RMS) difference between simulat
ed and measured soil temperature was less-than-or-equal-to 1.5-degrees
-C and between simulated and measured volumetric soil water content wa
s less-than-or-equal-to 0.04 m3.m-3. The estimated last day with snow
cover was within 2 days of the observed date. These results confirm th
e usefulness of the SHAW model to simulate these winter conditions.