The Euro-Mediterranean Center on Climate Change (CMCC) Eddy-permitting Global Ocean Physical Reanalysis (C-GLORS v7, 1993-2019)

The Euro-Mediterranean Center on Climate Change Global Ocean Physical Reanalysis (CGOLRS) v7 is a homogeneous three-dimensional reconstruction of the global ocean state over the last decades constrained by observations. It spans the altimeter era (1993-2019) and is produced by the global ocean circu...

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Bibliographic Details
Main Authors: Cipollone, Andrea, Masina, Simona, Storto, Andrea
Format: Dataset
Language:English
Published: PANGAEA 2021
Subjects:
Online Access:https://doi.pangaea.de/10.1594/PANGAEA.931485
https://doi.org/10.1594/PANGAEA.931485
Description
Summary:The Euro-Mediterranean Center on Climate Change Global Ocean Physical Reanalysis (CGOLRS) v7 is a homogeneous three-dimensional reconstruction of the global ocean state over the last decades constrained by observations. It spans the altimeter era (1993-2019) and is produced by the global ocean circulation model NEMO coupled with the LIM2 sea-ice model with an overall working resolution of 1/4°. The data assimilation system consists of a three-dimensional variational scheme (called OceanVar) capable of assimilating all in-situ observations along with altimetry data. The data assimilation system is performed every 7 days, using a 10-day assimilation time-window. On-line surface nudging schemes, during model integration, assimilate satellite observations of sea surface temperature, sea ice concentration and sea ice thickness. An older version (v5) of the same Reanalysis family but spanning more years 1980-2014 is available at doi:10.1594/PANGAEA.857995. In the v7 we increased the vertical resolution (75 depth levels) and included an observational quality control (VarQC) with non-gaussian error that allows to ingest more observations. An upgraded ocean model version (NEMO-LIM2 3.6) is also used together with a general retuning of the DA scheme. Data are available for a large number of ocean parameters and an extensive validation has been conducted together with a comparison with other Reanalyses. The quality may depend on observation coverage and uncertainty estimates are simply derived through verification skill scores. A more detailed description can be found at http://c-glors.cmcc.it and related references. To access other variables please refer to https://dds.cmcc.it/