SEMINAR ANNOUNCEMENT Can the information on turbulence anisotropy improve near-surface similarity scaling over complex terrain? Wednesday, October 18, 2017, at 3:15pm 110 INSCC Refreshments and Meet the Speaker at 3:00pm

135 South 1460 East, Room 819 (WBB), Salt Lake City, Utah 84112-0110 Phone: (801) 581-6136 Fax: (801) 585-3681 Web: www.atmos.utah.edu One of the great remaining challenges of numerical weather prediction lies close to the surface, where unresolved boundary layer processes and surface momentum and energy exchanges require parameterizations. These parameterizations, however, still rely on the similarity theory developed over flat and horizontally homogeneous terrain even when making predictions over highly complex surfaces such as mountainous areas. This is despite the fact that experimental datasets obtained over progressively complex surfaces have shown large deviations from the curves proposed by similarity theory on horizontally homogeneous and flat terrain. Even over flat terrain, horizontal velocity variances are eluding scaling due to large scatter, and under very stable stratification lack of scaling is generally attributed to non-Kolmogorov turbulence and influence of non-turbulent submeso motions.