Modelling Bottom Stress in Depth-Averaged Flows
Abstract
The relationship between depth-averaged velocity and bottom stress for wind-driven flow in unstratified coastal waters is examined here. The adequacy of traditional linear and quadratic drag laws is addressed by comparison with a 2 1/2-D model. A 2 1/2-D model is one in which a simplified 1-D depth-resolving model (DRM) is used to provide an estimate of the relationship between the flow and bottom stress at each grid point of a depth-averaged model (DAM). Bottom stress information is passed from the DRM to the DAM in the form of drag tensor with two components: one which scales the flow and one which rotates it. This eliminates the problem of traditional drag laws requiring the flow and bottom stress to be collinear. In addition, the drag tensor field is updated periodically so that the relationship between the velocity and bottom stress can be time-dependent. However, simplifications in the 2 1/2-D model that render it computationally efficient also impose restrictions on the time-scale of resolvable processes. Basically, they must be much longer than the vertical diffusion time scale. Four progressively more complicated scenarios are investigated. The important factors governing the importance of bottom friction in each are found to be: (1) non-dimensional surface Ekman depth, u(*s)/function h where u(*s), is the surface shear velocity, function is the Coriolis parameter and h is the water depth; (2) the non-dimensional bottom roughness, zo/h where zo is the roughness length and (3) the angle between the wind stress and the shoreline. Each has significant influence on the drag law. The drag tensor magnitude, r, and the drag tensor angle, theta are functions of all three, while a drag tensor which scales with the square of the depth-averaged velocity has a magnitude, C(d), that only depends on zeta (o)/h.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 01, 1989
- Accession Number
- ADA588346
Entities
People
- Harry L. Jenter Ii
Organizations
- Massachusetts Institute of Technology