The Role of Rough Topography in Mediating Impacts of Bottom Drag in Eddying Ocean Circulation Models
Abstract
Motivated by the substantial sensitivity of eddies in two-layer quasigeostrophic (QG) turbulence models to the strength of bottom drag, this study explores the sensitivity of eddies in more realistic ocean general circulation model (OGCM) simulations to bottom drag strength. The OGCM results are interpreted using previous results from horizontally homogeneous, two-layer, flat-bottom, f-plane, doubly periodic QG turbulence simulations and new results from two-layer, β-plane QG turbulence simulations run in a basin geometry with both flat and rough bottoms. Baroclinicity in all of the simulations varies greatly with drag strength, with weak drag corresponding to more barotropic flow and strong drag corresponding to more baroclinic flow. The sensitivity of the baroclinicity in the QG basin simulations to bottom drag is considerably reduced, however, when rough topography is used in lieu of a flat bottom. Rough topography reduces the sensitivity of the eddy kinetic energy amplitude and horizontal length scales in the QG basin simulations to bottom drag to an even greater degree. The OGCM simulation behavior is qualitatively similar to that in the QG rough-bottom basin simulations, in that baroclinicity is more sensitive to bottom drag strength than are eddy amplitudes or horizontal length scales. Rough topography therefore appears to mediate the sensitivity of eddies in models to the strength of bottom drag. The sensitivity of eddies to parameterized topographic internal lee wave drag, which has recently been introduced into some OGCMs, is also briefly discussed. Wave drag acts like a strong bottom drag in that it increases the baroclinicity of the flow, without strongly affecting eddy horizontal length scales.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Aug 01, 2017
- Source ID
- 10.1175/jpo-d-16-0229.1
Entities
People
- Alan J. Wallcraft
- Brian K. Arbic
- David N. Straub
- David S. Trossman
- Eric. P. Chassignet
- James G. Richman
- Xiaobiao Xu
Organizations
- Florida State University
- Johns Hopkins University
- McGill University
- National Science Foundation
- Office of Naval Research
- United States Naval Research Laboratory
- University of Michigan