The bottom boundary layer in lakes lies directly above the sediments and influences both hydrodynamic processes and biogeochemical fluxes. Several parameter-based models have been developed to predict the boundary layer characteristics, but the relative accuracy and applicability of these models remains under investigated, particularly for the Great Lakes. Here, high-resolution velocity and temperature data were analyzed to characterize temporal variations in the thicknesses of bottom mixed layer and logarithmic layer in central Lake Erie. We considered both weakly and strongly stratified periods, when these layers were primarily forced by surface seiches and near-inertial waves, respectively. Existing equations to predict the height of the bottom mixed layer (h(mix)) were calibrated and evaluated using the observed hmix, the bed-shear velocity, and the local Brunt-Vaisala frequency at the top of h(mix). We found that h(max) = 1.8u./f (1 + N-o(2)/f(2))(1/4), where u. is the shear velocity and f and N-o are the inertial and the local Brunt-Vaisala frequencies, respectively. The logarithmic layer height was also delineated using fit results from classical and modified law-of-the-wall equations. The fitting results were validated by comparison of the shear velocities to independent results from the structure function method. Stratification was shown to have negligible effect on the shear stresses within the log layer; however, the stratification term was required, at times, to describe the observed velocity profile for heights >1.5 m above the bed. Overall, our results show the thickness of logarithmic layer is a poor predictor for h(mix) in Lake Erie. (C) 2015 International Association for Great Lakes Research. Published by Elsevier B.V. All rights reserved.