Climate data guide content with tag mixed layer depth
CMCC Global Ocean Reanalysis System (C-GLORS)
Years of record
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"The CMCC Global Ocean Physical Reanalysis System (C-GLORS) is used to simulate the state of the ocean in the last decades. It consists of a variational data assimilation system (OceanVar), capable of assimilating all in-situ observations along with altimetry data, and a forecast step performed by the ocean model NEMO coupled with the LIM2 sea-ice model…
Main variables and Earth System components
Ocean Ocean Heat Content SST - sea surface temperature Salinity Sub Surface Salinity Sub Surface Temperature mixed layer depth sea surface height u, v current componentsExperts contributing reviews
- Storto, Andrea
GODAS: NCEP Global Ocean Data Assimilation System
Years of record
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GODAS is a real-time ocean analysis and a reanalysis. It is used for monitoring, retrospective analysis as well as for providing oceanic initial conditions for the CFS. Both temperature and synthetic salinity profiles are assimilated in a 3DVAR scheme. Beginning with March 2007, altimetry sea level is assimilated.
Main variables and Earth System components
Ocean 3D Velocity SST - sea surface temperature Salinity heat flux isothermal layer depth mixed layer depth potential temperature salt flux sea surface height-
Timestep
- Monthly, Pentad
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Domain
- Global
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Collections
- Climate Analysis Section (CAS) Data Catalog
Experts contributing reviews
- N/A
Southern Ocean State Estimate (SOSE)
Years of record
- to
The Southern Ocean State Estimate (SOSE) is a model-generated best fit to Southern Ocean observations. As such, it provides a quantitatively useful climatology of the mean-state of the Southern Ocean. Technically, SOSE is a solution to the MITgcm. SOSE is a gridded dataset at 1/6 ° horizontal resolution, available at timesteps from daily to annually.…
Main variables and Earth System components
Ocean 3D Velocity Bottom pressure SST - sea surface temperature Salinity Sub Surface Temperature mixed layer depth sea surface height u, v current components Wind Stress-
Formats
- binary
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Timestep
- Daily, Monthly, Weekly, Annual
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Collections
- N/A
Experts contributing reviews
- Mazloff, Matthew