Snow depth and snow density are the principal snow observations needed for water resources applications during snowmelt to calculate water storage. Accuracy of snow density observations obtained with a snow sampler has been widely discussed in the past (e.g., Work et al., 1965; Freeman, 1965; Woo, 1997 and others). The uncertainty associated with snow depth measurements has been considered not significant. Let us introduce the uncertainty (U) of snow depth measurement as:U = E / SD,    where E is the snow depth error and SD is measured snow depth.  For some snow environments, e.g. deep snowpack in non-permafrost soils, snow depth uncertainty is very small. Presented results show that uncertainty can be substantial in the Arctic environment, because of two reasons: 1) the Arctic receives reduced precipitation and hence has low values of SD, and 2) E can be large in permafrost sites due to presence of organic soils over impermeably frozen mineral soils. A trait of surface organic soils that adds complexity to snow depth measurements is the density that appears to be similar to the density of the depth hoar at the bottom of snowpack. It causes snow depth sampling instruments (rod-based) sink into the organic layer and overmeasure snow depth. The possible solutions to manage snow depth uncertainty through correction for the measurement error and improving sampling instrumentation are discussed in this presentation.