Using a recently developed dynamical downscaling framework, we build and assess an ensemble of year-long sea level hindcasts for the western North Atlantic. Downscaled high-resolution regional ocean model (NWA12) output of U.S. East Coast sea level at long established tide gauge stations is compared to parent coarse-resolution global ocean model (SPEAR) output to quantify varied impacts of downscaling in a forecasting framework, particularly from an extremes perspective. Comparisons of modeled coastal sea level distributions and observations at tide gauge stations reveal downscaling enhances variability by nearly an order of magnitude across all resolved frequencies. As the downscaled simulations are forced at the surface with the same atmosphere felt by the SPEAR ocean, we attribute this enhanced variability to the improved representation of shelf and slope ocean dynamics. The magnitude of this enhancement, however, appears a strong function of latitude and suggests added value of downscaling to vary geographically. Together, these results demonstrate how dynamical downscaling can offer practical time varying statistics of higher frequency coastal sea level variability developed with an improved understanding of the links between model resolution and the processes driving coastal sea level changes.