| Title: | Bohai Sea |
| Resolution: | 10km |
| Institution: | The Hong Kong University of Science and Technology |
| Temporal Frequency: | Climatological Monthly Data |
| Computational Grid: | [117oE-127oE, 33oN-41oN] |
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
This data is accessible to registered site members only.
Existing users please log in to download the data.
New users may contact us at “earthhk@ust.hk” for registration.
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.hkust.edu.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.