This paper seeks to develop a robust set of tools for estimating the s
tochastic properties of sea ice drafts. Five parameters are estimated,
along with their formal uncertainties: mean draft, rms topographic va
riation, characteristic length, fractal dimension, and normalized skew
ness. These provide an objective basis for terrain classification. A r
ecent 10-km by 10-km upward looking submarine sonar survey serves as a
test case. Data profiles are compared with synthetic profiles generat
ed from the statistical parameters estimated from the data. These prov
ide a means of qualitatively assessing the success of the stochastic m
odel at characterizing the principal morphological properties. In gene
ral, the comparisons are good, providing confidence in the applicabili
ty and versatility of the stochastic model. A few exceptions are notab
le, but these also provide valuable insight into our understanding of
the morphology of sea ice draft.