Title: | South China Sea |
Resolution: | 10km |
Institution: | The Hong Kong University of Science and Technology |
Temporal Frequency: | Climatological Monthly Data |
Computational Grid: | [99oE-128oE, 0oN-25oN] |
Description
We initialized the CMOMS model with winter climatological WOA13 (World Ocean Atlas 2013) potential temperature and salinity, and spun the model up for 50 years. Then, the last 5 years model results are extracted as climatological monthly data for downloading. Variables in the netcdf file includes:
longitude, latitude: horizontal grid system.
mask: land-sea mask.
level : depth of the data in the water below the sea surface.
u: zonal velocity (m/s positive value for eastward velocity) in the water column, whose depth is defined in variable “level”.
v: meridional velocity (m/s positive value for northward velocity) in the water column, whose depth is defined in variable “level”.
w: vertical velocity (m/s positive value for upward velocity) in the water column, whose depth is defined in variable “level”. BE CAUTIOUS WHEN YOU’RE USING A VERTICAL VELOCITY FROM CONTINUITY EQUATION.
ubar: the zonal velocity (m/s positive value for eastward velocity) vertically averaged in the water column from sea surface to bottom.
vbar: the meridional velocity (m/s positive value for northward velocity) vertically averaged in the water column from sea surface to bottom.
zeta: sea surface elevation (m).
temp: potential temperature (degree C) referring to sea surface in the water column.
salt: salinity in the water column.
Access Data
Physical variables
Biochemical variables
To be loading…
Acknowledgment
The use of CMOMS data should be properly acknowledged e.g.,
Acknowledgment of the CMOMS data: The data of CMOMS (China Sea Multi-scale Ocean Modeling System) is obtained from Department of Ocean Science of the Hong Kong University of Science and Technology at https://odmp.ust.hk/cmoms/.
Citation
- Gan J., Z. Liu and L. Liang, 2016. Numerical modeling of intrinsically and extrinsically forced seasonal circulation in the China Seas: A kinematic study, J. Geophys. Res. (Oceans), doi: 10.1002/2016JC011800.