CMCC Global Ocean Reanalysis System (C-GLORS)

"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."

Key Strengths:

  • Data are available for a large number of ocean parameters
  • An extensive validation has been conducted and is freely available
  • The reanalysis is performed at high resolution (1/4 degree) and spans the last 30 years

Key Limitations:

  • Quality may be discontinuos and depend on observation coverage
  • Uncertainty estimates are simply derived through verification skill scores
  • Net surface heat flux seems underestimated at high latitudes

Expert Developer Guidance

The following was contributed by Dr. Andrea Storto (CMCC, Italy), October, 2014:

"Summary: The CMCC Global Ocean Physical Reanalysis System (C-GLORS) is used at CMCC 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.

Key Strengths:

-Data dissemination is provided for a very large number of ocean parameters

-An extensive validation has been conducted and is freely available, confirming the good quality of the dataset

-The reanalysis is performed at high resolution (1/4 degree) and spans the last 30 years, covering the entire era of meteorological satellites

 

Key Limitations:

-Quality may be discontinuos and depend on observation coverage

-Uncertainty estimates are simply derived through verification skill scores

-Net surface heat flux seems underestimated at high latitudes

 

C-GLORS provides a 3D picture of the state of the ocean at 1/4 degree resolution for the meteorological satellite era (1982-2012).

It can be used for a wide range of applications, from climate monitoring to ocean dynamics studies, to models validation and comparisons, and downstream application (e.g. fisheries, biogeochemistry, etc.).

While climate signals are generally well reproduced, users should pay attention to the period where changes in observing system are present (mostly when altimetric missions start, October 1992, or when Argo data come in the system, 2001-2004)."##

Years of Record

1982/01 to 2013/12
temporal metadataID:

Formats

Timestep

Daily | Monthly | Weekly

Data Time Period Extended?

yes, data set is extended

Domain

Spatial Resolution

1/4 degree, 50 levels

Ocean or Land

Ocean Only

Input Data

Hydrographic data (XBT, CTD, Argo, Buoys, Sea-Mammals); altimetry (along-track); Satellite SST (AVHRR); Satellite Sea-Ice Concentration

Data Access: Please Cite data sources, following the data providers' instructions.

Usage Restrictions

Freely available upon registration

Key Figures

Click the thumbnails to view larger sizes

Thumbnails

Captions

Heat Content Trend Ocean Heat Content Linear Trend (1982-2012) as simulated by the last version of C-GLORS at 0.25 degree resolution. (contributed by A. Storto)

Cite this page

Storto, Andrea & National Center for Atmospheric Research Staff (Eds). Last modified 23 Jul 2015. "The Climate Data Guide: CMCC Global Ocean Reanalysis System (C-GLORS)." Retrieved from https://climatedataguide.ucar.edu/climate-data/cmcc-global-ocean-reanalysis-system-c-glors.

Acknowledgement of any material taken from this page is appreciated. On behalf of experts who have contributed data, advice, and/or figures, please cite their work as well.