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...
Main Authors: | , |
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Format: | Dataset |
Language: | English |
Published: |
PANGAEA
2016
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Online Access: | https://dx.doi.org/10.1594/pangaea.857995 https://doi.pangaea.de/10.1594/PANGAEA.857995 |
_version_ | 1821708614397591552 |
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author | Storto, Andrea Masina, Simona |
author_facet | Storto, Andrea Masina, Simona |
author_sort | Storto, Andrea |
collection | DataCite |
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 |
genre | Sea ice |
genre_facet | Sea ice |
id | ftdatacite:10.1594/pangaea.857995 |
institution | Open Polar |
language | English |
op_collection_id | ftdatacite |
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 |
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 |
publishDate | 2016 |
publisher | PANGAEA |
record_format | openpolar |
spelling | ftdatacite:10.1594/pangaea.857995 2025-01-17T00:45:18+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 2024-11-04T17:30:09Z 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 |
spellingShingle | 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 ... |
title | 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_short | 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 ... |
topic | DATE/TIME File name File size Uniform resource locator/link to file |
topic_facet | DATE/TIME File name File size Uniform resource locator/link to file |
url | https://dx.doi.org/10.1594/pangaea.857995 https://doi.pangaea.de/10.1594/PANGAEA.857995 |