Climate data guide content with tag Oceanic Reanalysis
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
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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
ORAS4: ECMWF Ocean Reanalysis and derived ocean heat content
Years of record
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ECMWF's current ocean reanalysis uses a sophisticated data assimilation methodology which includes a model bias correction. The ocean model used is forced by atmospheric daily surface fluxes, relaxed to SST and bias corrected. The Balmaseda et al (QJRMS 2013) reference provides excellent peer reviewed documentation and evaluation.
Main variables and Earth System components
Ocean Ocean Heat Content Salinity Sea Level potential temperature u, v current components-
Timestep
- Monthly
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Domain
- Global
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Collections
- Climate Analysis Section (CAS) Data Catalog
Experts contributing reviews
- N/A
Pan-Arctic Ice Ocean Modeling and Assimilation System (PIOMAS)
Years of record
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The Pan-Arctic Ice-Ocean Modeling and Assimilation System (PIOMAS) is a reanalysis data set that uses a coupled ice and ocean model to provide daily and monthly estimates of Arctic sea-ice thickness. The data is publicly available from January 1979 to in near-real time. The model is developed and maintained by the Polar Science Center (PSC) in the Applied Physics…
Experts contributing reviews
- Labe, Zachary
SODA: Simple Ocean Data Assimilation
Years of record
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The Simple Ocean Data Assimilation, or SODA, analysis is an ocean reanalysis data set consisting of gridded variables for the global ocean, as well as several derived fields. The goal is to provide an improved estimate of ocean state from those based solely on observations or numerical simulations.
Main variables and Earth System components
Wind Stress Ocean 3D Velocity potential temperature Salinity sea surface height SST - sea surface temperature u, v current componentsExperts contributing reviews
- N/A
Southern Ocean State Estimate (SOSE)
Years of record
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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