Index Catalog // ScholarsArchive@OSU

Creator:: Chelton, Dudley B., Schlax, Michael C., Samelson, Roger M., and de Szoeke, Roland A.
Abstract:: Ten years of sea-surface height (SSH) fields constructed from the merged TOPEX/Poseidon (T/P) and ERS-1/2 altimeter datasets are analyzed to investigate mesoscale variability in the global ocean. The higher resolution of the merged dataset reveals that more than 50% of the variability over much of the World Ocean is accounted...
Resource Type:: Article
Full Text:: , 1650–1666. Stammer, D. (1997), Global characteristics of ocean variability estimated from regional

Creator:: Arbic, Brian K., Scott, Robert B., Chelton, Dudley B., Richman, James G., and Shriver, Jay F.
Abstract:: This paper examines the effect of “stencil width” on surface ocean geostrophic velocity and vorticity estimated from differentiating gridded satellite altimeter sea surface height products. In oceanographic applications, the value of the first derivative at a central grid point is generally obtained by differencing the sea surface heights at adjacent...
Resource Type:: Article
Full Text:: : Arbic, B. K., R. B. Scott, D. B. Chelton, J. G. Richman, and J. F. Shriver (2012), Effects of stencil

Creator:: Matano, R. P., Beier, E. J., Strub, P. T., and Tokmakian, R.
Abstract:: In this article the authors examine the kinematics and dynamics of the seasonal cycle in the western Indian Ocean in an eddy-permitting global simulation [Parallel Ocean Circulation Model, model run 4C (POCM-4C)]. Seasonal changes of the transport of the Agulhas Current are linked to the large-scale circulation in the tropical...
Resource Type:: Article
Full Text:: . Geophys. Res., in press. Stammer, D., R. Tokmakian, A. Semtner, and C. Wunsch, 1996: How well does a 1/48

Creator:: Greenslade, Diana
Resource Type:: Masters Thesis
Full Text:: ERS data, (c) simulated combined TP and ERS data, and (d) simulated combined TP, ERS and GFO data

Creator:: Schouten, Mathijs W. and Matano, Ricardo P.
Abstract:: The formation mechanisms and pathways of intermediate water in the Southern Ocean are analyzed from output of a high-resolution ocean general circulation model. Deep winter mixed layer formation in the Southern Ocean is diagnosed from the model results and is found to be mostly consistent with observations. Diapycnal water mass...
Resource Type:: Article
Full Text:: behavior is relatively well known [e.g., Stammer et al., 1996; Tokmakian and Challenor, 1999]. The model

Creator:: Fetter Filho, Antonio F. H.
Abstract:: The local and remote sources of variability of the South Atlantic Ocean are investigated using a set of numerical experiments and satellite data. A global, eddy-permitting, numerical simulation is analyzed to investigate the dynamical links between the Antarctic Circumpolar Current (ACC) and the Malvinas Current (MC). The model results indicate...
Resource Type:: Dissertation
Full Text:: locations): A) the ACC and the west branch; B) the ACC and the Malvinas Current; C) the ACC and section A; D

Creator:: Lyman, John M.
Abstract:: A linearized model with two vertical modes has been developed to understand observed characteristics of monthly variability in the Equatorial Pacific from TOPEX/POSEIDON measurements of Sea Surface Height (SSH). The 2-mode model is obtained from an equatorial beta plane model that has been linearized about a geostrophically balanced mean flow...
Resource Type:: Dissertation
Full Text:: .................................... 126 C Higher Order Projection Model ......................................... 128 D N2 Formulation

Creator:: O'Neill, Larry W.
Abstract:: Interactions between surface winds and meanders in mid-latitude sea surface temperature (SST) fronts with horizontal length scales of 100-1000 km are investigated from satellite observations and numerical simulations. Observations from the Sea- Winds scatterometer on the QuikSCAT satellite show that the magnitude, direction, curl, and divergence of the surface wind...
Resource Type:: Dissertation
Full Text:: . . . . . . . . . . 100 3.11 Time series of the coupling coefficients αC and αD . . . . . . . . . . . 101 3.12 First mode

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