Abstract: A new optimal linear fitting method has been developed to determine mixed layer depth from profile data. This methodology includes three steps: 1) fitting the profile data from the first point near the surface to a depth ...

Abstract: How to reduce the horizontal pressure gradient error is a key issue of using σ-coordinate ocean models, especially of using primitive equation models for coastal regions. The error is caused by the splitting of the horizontal ...

Abstract: eduction of computational error is a key issue in computing Lagrangian trajectories using gridded velocities. Computational accuracy enhances from using the first term (constant velocity scheme), the first two terms (linear ...

Abstract: How to reduce the computational error is a key issue in numerical modeling and simulation. The higher the order of the difference scheme, the less the truncation error and the more complicated the computation. For compromise, ...

Abstract: Ocean (T, S) data analysis/assimilation, conducted in the three-dimensional physical space, is a generalized average of purely observed data (data analysis) or of modeled/observed data (data assimilation). Because of the ...

Abstract: In this study, the U.S. Navy?s Generalized Digital Environmental Model (GDEM) climatological temperature and salinity data on a 0.5° ? 0.5° grid is used to investigate the seasonal variabilities of the Japan/East Sea (JES) ...

Abstract: The second part of this work investigates the seasonal variabilities of the Japan/East Sea (JES) circulation using the U.S. Navy Generalized Digital Environmental Model (GDEM) climatological temperature and salinity dataset ...

Abstract: A recently developed parametric model by P. C. Chu et al. is used in this paper for determining subsurface thermal structure from satellite sea surface temperature observations. Based on a layered structure of temperature ...

Abstract: Variability in the surface isothermal and mixed layers of the Sulu and Celebes Seas is examined using the conductivity?temperature?depth data from the Navy's Master Oceanographic Observational Data Set (MOODS). Vertical ...

Abstract: The seasonal ocean circulation and the seasonal thermal structure in the South China Sea (SCS) were studied numerically using the Princeton Ocean Model (POM) with 20-km horizontal resolution and 23 sigma levels conforming ...