Sensitivity studies with the North Atlantic sigma coordinate Princeton Ocean Model

Citation
T. Ezer et Gl. Mellor, Sensitivity studies with the North Atlantic sigma coordinate Princeton Ocean Model, DYNAM ATMOS, 32(3-4), 2000, pp. 185-208
Citations number
25
Categorie Soggetti
Earth Sciences
Journal title
DYNAMICS OF ATMOSPHERES AND OCEANS
ISSN journal
03770265 → ACNP
Volume
32
Issue
3-4
Year of publication
2000
Pages
185 - 208
Database
ISI
SICI code
0377-0265(200008)32:3-4<185:SSWTNA>2.0.ZU;2-I
Abstract
The sigma coordinate, Princeton Ocean Model (POM) has been configured for t he North Atlantic ocean between 5 degrees N and 50 degrees N as part of dat a assimilation, model predictability and intercomparison studies. The model uses a curvilinear orthogonal grid with higher resolution in the western N orth Atlantic and lower resolution in the eastern North Atlantic. A series of experiments, each one of a 10-year duration, are performed to evaluate t he sensitivity of the ocean mean state and variability to model parameters and model configuration; these experiments include open vs. closed boundary conditions, low vs, high resolution grids, and different choices of diffus ion and viscosity, The results show that the use of closed boundaries toget her with near-boundary buffer zones where temperature and salinity are rela xed towards the observed values give less realistic flows, weaker recircula tion gyres and less realistic Gulf Stream separation than do open boundary conditions. The experiments show that the sensitivity of the ocean variabil ity in the model to the choice of the Smagorinsky diffusion and viscosity c oefficients significantly differs from one region to another and largely de pends on other attributes such as the mean position of the Gulf Stream in e ach simulation. A 50% change in model resolution in the Gulf Stream region has a larger effect on ocean variability than a change of diffusivity by a factor of 10. In areas where either the high or the low resolution models h ave sufficient resolution, as in the Gulf of Mexico, they are able to produ ce variability comparable to that observed from altimeter data; elsewhere, model variability is underestimated. (C) 2000 Elsevier Science B.V. All rig hts reserved.