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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Online Access: | https://dx.doi.org/10.1594/pangaea.931485 https://doi.pangaea.de/10.1594/PANGAEA.931485 |
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ftdatacite:10.1594/pangaea.931485 2024-06-09T07:49:28+00:00 The Euro-Mediterranean Center on Climate Change (CMCC) Eddy-permitting Global Ocean Physical Reanalysis (C-GLORS v7, 1993-2019) ... Cipollone, Andrea Masina, Simona Storto, Andrea 2021 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.931485 https://doi.pangaea.de/10.1594/PANGAEA.931485 en eng PANGAEA https://dx.doi.org/10.1029/97jc00480 https://dx.doi.org/10.1007/bf00211684 https://dx.doi.org/10.1016/j.ocemod.2016.06.011 https://dx.doi.org/10.5194/essd-8-679-2016 https://dx.doi.org/10.1002/qj.2673 https://dx.doi.org/10.1007/s00382-018-4585-5 https://dx.doi.org/10.1594/pangaea.857995 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 assimilation eddy permitting global ocean circulation global ocean reanalysis Binary Object Dataset dataset 2021 ftdatacite https://doi.org/10.1594/pangaea.93148510.1029/97jc0048010.1007/bf0021168410.1016/j.ocemod.2016.06.01110.5194/essd-8-679-201610.1002/qj.267310.1007/s00382-018-4585-510.1594/pangaea.857995 2024-05-13T12:44:57Z 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 ... : This dataset has been produced by the Euro-Mediterranean Center on Climate Change (CMCC) in the context of the Copernicus Marine Environment and Monitoring Service (CMEMS). The activities leading to these results have been contracted by Mercator Ocean International that implements CMEMS as part of the Copernicus Programme. ... 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) |
op_collection_id |
ftdatacite |
language |
English |
topic |
assimilation eddy permitting global ocean circulation global ocean reanalysis Binary Object |
spellingShingle |
assimilation eddy permitting global ocean circulation global ocean reanalysis Binary Object Cipollone, Andrea Masina, Simona Storto, Andrea The Euro-Mediterranean Center on Climate Change (CMCC) Eddy-permitting Global Ocean Physical Reanalysis (C-GLORS v7, 1993-2019) ... |
topic_facet |
assimilation eddy permitting global ocean circulation global ocean reanalysis Binary Object |
description |
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 ... : This dataset has been produced by the Euro-Mediterranean Center on Climate Change (CMCC) in the context of the Copernicus Marine Environment and Monitoring Service (CMEMS). The activities leading to these results have been contracted by Mercator Ocean International that implements CMEMS as part of the Copernicus Programme. ... |
format |
Dataset |
author |
Cipollone, Andrea Masina, Simona Storto, Andrea |
author_facet |
Cipollone, Andrea Masina, Simona Storto, Andrea |
author_sort |
Cipollone, Andrea |
title |
The Euro-Mediterranean Center on Climate Change (CMCC) Eddy-permitting Global Ocean Physical Reanalysis (C-GLORS v7, 1993-2019) ... |
title_short |
The Euro-Mediterranean Center on Climate Change (CMCC) Eddy-permitting Global Ocean Physical Reanalysis (C-GLORS v7, 1993-2019) ... |
title_full |
The Euro-Mediterranean Center on Climate Change (CMCC) Eddy-permitting Global Ocean Physical Reanalysis (C-GLORS v7, 1993-2019) ... |
title_fullStr |
The Euro-Mediterranean Center on Climate Change (CMCC) Eddy-permitting Global Ocean Physical Reanalysis (C-GLORS v7, 1993-2019) ... |
title_full_unstemmed |
The Euro-Mediterranean Center on Climate Change (CMCC) Eddy-permitting Global Ocean Physical Reanalysis (C-GLORS v7, 1993-2019) ... |
title_sort |
euro-mediterranean center on climate change (cmcc) eddy-permitting global ocean physical reanalysis (c-glors v7, 1993-2019) ... |
publisher |
PANGAEA |
publishDate |
2021 |
url |
https://dx.doi.org/10.1594/pangaea.931485 https://doi.pangaea.de/10.1594/PANGAEA.931485 |
genre |
Sea ice |
genre_facet |
Sea ice |
op_relation |
https://dx.doi.org/10.1029/97jc00480 https://dx.doi.org/10.1007/bf00211684 https://dx.doi.org/10.1016/j.ocemod.2016.06.011 https://dx.doi.org/10.5194/essd-8-679-2016 https://dx.doi.org/10.1002/qj.2673 https://dx.doi.org/10.1007/s00382-018-4585-5 https://dx.doi.org/10.1594/pangaea.857995 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.93148510.1029/97jc0048010.1007/bf0021168410.1016/j.ocemod.2016.06.01110.5194/essd-8-679-201610.1002/qj.267310.1007/s00382-018-4585-510.1594/pangaea.857995 |
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1801382070917791744 |