The CMCC Eddy-permitting Global Ocean Physical Reanalysis (C-GLORS v5, 1980-2014), links to NetCDF files ...
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 th...
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ftdatacite:10.1594/pangaea.857995 2024-06-09T07:49:29+00:00 The CMCC Eddy-permitting Global Ocean Physical Reanalysis (C-GLORS v5, 1980-2014), links to NetCDF files ... Storto, Andrea Masina, Simona 2016 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.857995 https://doi.pangaea.de/10.1594/PANGAEA.857995 en eng PANGAEA http://c-glors.cmcc.it/index/index.html https://hs.pangaea.de/model/C-GLORSv5/C-GLORSv5.zip http://c-glors.cmcc.it/index/index.html https://dx.doi.org/10.1002/2013jc009067 https://dx.doi.org/10.1109/36.843033 https://dx.doi.org/10.1175/2007jcli1824.1 https://dx.doi.org/10.1002/qj.2673 https://dx.doi.org/10.1175/1520-0493(2003)131<0845:mgsiwa>2.0.co;2 https://hs.pangaea.de/model/C-GLORSv5/C-GLORSv5.zip Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 DATE/TIME File name File size Uniform resource locator/link to file Dataset dataset 2016 ftdatacite https://doi.org/10.1594/pangaea.85799510.1002/2013jc00906710.1109/36.84303310.1175/2007jcli1824.110.1002/qj.267310.1175/1520-0493(2003)131<0845:mgsiwa>2.0.co;2 2024-05-13T12:44:57Z 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 yearsKEY LIMITATIONS:- Quality may be discontinuos and depend on observation coverage- Uncertainty estimates are simply derived through verification skill scoresNote (2017-02-09): C-GLORSv5 is dissemniated on PANGAEA at reduced resolution, i.e. a regular 0.5x0.5 degree grid. For full resolution data sets see "CMCC Global Ocean Reanalysis System (C-GLORS), external website" (Related to:) ... Dataset Sea ice DataCite Metadata Store (German National Library of Science and Technology) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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ftdatacite |
language |
English |
topic |
DATE/TIME File name File size Uniform resource locator/link to file |
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DATE/TIME File name File size Uniform resource locator/link to file Storto, Andrea Masina, Simona The CMCC Eddy-permitting Global Ocean Physical Reanalysis (C-GLORS v5, 1980-2014), links to NetCDF files ... |
topic_facet |
DATE/TIME File name File size Uniform resource locator/link to file |
description |
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 yearsKEY LIMITATIONS:- Quality may be discontinuos and depend on observation coverage- Uncertainty estimates are simply derived through verification skill scoresNote (2017-02-09): C-GLORSv5 is dissemniated on PANGAEA at reduced resolution, i.e. a regular 0.5x0.5 degree grid. For full resolution data sets see "CMCC Global Ocean Reanalysis System (C-GLORS), external website" (Related to:) ... |
format |
Dataset |
author |
Storto, Andrea Masina, Simona |
author_facet |
Storto, Andrea Masina, Simona |
author_sort |
Storto, Andrea |
title |
The CMCC Eddy-permitting Global Ocean Physical Reanalysis (C-GLORS v5, 1980-2014), links to NetCDF files ... |
title_short |
The CMCC Eddy-permitting Global Ocean Physical Reanalysis (C-GLORS v5, 1980-2014), links to NetCDF files ... |
title_full |
The CMCC Eddy-permitting Global Ocean Physical Reanalysis (C-GLORS v5, 1980-2014), links to NetCDF files ... |
title_fullStr |
The CMCC Eddy-permitting Global Ocean Physical Reanalysis (C-GLORS v5, 1980-2014), links to NetCDF files ... |
title_full_unstemmed |
The CMCC Eddy-permitting Global Ocean Physical Reanalysis (C-GLORS v5, 1980-2014), links to NetCDF files ... |
title_sort |
cmcc eddy-permitting global ocean physical reanalysis (c-glors v5, 1980-2014), links to netcdf files ... |
publisher |
PANGAEA |
publishDate |
2016 |
url |
https://dx.doi.org/10.1594/pangaea.857995 https://doi.pangaea.de/10.1594/PANGAEA.857995 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
http://c-glors.cmcc.it/index/index.html https://hs.pangaea.de/model/C-GLORSv5/C-GLORSv5.zip http://c-glors.cmcc.it/index/index.html https://dx.doi.org/10.1002/2013jc009067 https://dx.doi.org/10.1109/36.843033 https://dx.doi.org/10.1175/2007jcli1824.1 https://dx.doi.org/10.1002/qj.2673 https://dx.doi.org/10.1175/1520-0493(2003)131<0845:mgsiwa>2.0.co;2 https://hs.pangaea.de/model/C-GLORSv5/C-GLORSv5.zip |
op_rights |
Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 |
op_doi |
https://doi.org/10.1594/pangaea.85799510.1002/2013jc00906710.1109/36.84303310.1175/2007jcli1824.110.1002/qj.267310.1175/1520-0493(2003)131<0845:mgsiwa>2.0.co;2 |
_version_ |
1801382093197934592 |