Abstract
Three-dimensional dataset of world ocean climatological annual and monthly mean absolute geostrophic velocity in isopycnal level (called WOIL-V) has been produced from the United States (U.S.) Navy’s Generalized Digital Environmental Model (GDEM) temperature and salinity fields (open access from the website http://data.nodc.noaa.gov/cgi-bin/iso?id=gov.noaa.nodc:9600094) using the P-vector method. The data have horizontal resolution of 0.5° × 0.5°, and 222 isopycnal-levels. The total 13 data files include annual and monthly mean values. The WOIL-V is the only dataset of absolute geostrophic velocity in isopycnal level compatible to the GDEM (T, S) fields, and provides background ocean currents for oceanographic and climatic studies, especially in ocean modeling with the isopycnal coordinate system.
Highlights
Since ocean is generally adiabatic and statically stable, the potential density is conserved, increases monotonically with depth, and serves as a useful vertical coordinate
In the isopycnal coordinate system, explicit advection acts only in the horizontal. This makes the ocean models to avoid numerical diffusion in the vertical that can be troublesome in other vertical coordinate systems, such as z-coordinate and terrain-following coordinate
The isopycnal coordinate is often used in ocean modeling and prediction such as in the Hybrid Coordinate Ocean Model (HYCOM)
Summary
Since ocean is generally adiabatic and statically stable, the potential density is conserved, increases monotonically with depth, and serves as a useful vertical coordinate. Climatological annual and monthly mean gridded absolute geostrophic velocity data on z-level, computed from the NOAA/NCEI World Ocean Atlas (WOA) (T, S) fields to represent the large-scale ocean circulation using the P-vector method, was published at the NCEI website: http://data.nodc. Climatological annual and monthly mean gridded (0.5◦ × 0.5◦ ) absolute geostrophic velocity data on 222 isopycnal levels are calculated from the GDEM (T, S) data using the P-vector inverse method [7,8]. This velocity dataset is called the World Ocean Isopycnal Level
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