C-GLORSv5: an improved multipurpose global ocean eddy-permitting physical reanalysis
Global ocean reanalyses combine in situ and satellite ocean observations with a general circulation ocean model to estimate the time-evolving state of the ocean, and they represent a valuable tool for a variety of applications, ranging from climate monitoring and process studies to downstream applic...
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fttriple:oai:gotriple.eu:oai:doaj.org/article:a0379e7e05404b0cb7bab050b63637c4 2023-05-15T15:11:54+02:00 C-GLORSv5: an improved multipurpose global ocean eddy-permitting physical reanalysis A. Storto S. Masina 2016-11-01 https://doi.org/10.5194/essd-8-679-2016 http://www.earth-syst-sci-data.net/8/679/2016/essd-8-679-2016.pdf https://doaj.org/article/a0379e7e05404b0cb7bab050b63637c4 en eng Copernicus Publications 1866-3508 1866-3516 doi:10.5194/essd-8-679-2016 http://www.earth-syst-sci-data.net/8/679/2016/essd-8-679-2016.pdf https://doaj.org/article/a0379e7e05404b0cb7bab050b63637c4 undefined Earth System Science Data, Vol 8, Iss 2, Pp 679-696 (2016) geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2016 fttriple https://doi.org/10.5194/essd-8-679-2016 2023-01-22T18:19:17Z Global ocean reanalyses combine in situ and satellite ocean observations with a general circulation ocean model to estimate the time-evolving state of the ocean, and they represent a valuable tool for a variety of applications, ranging from climate monitoring and process studies to downstream applications, initialization of long-range forecasts and regional studies. The purpose of this paper is to document the recent upgrade of C-GLORS (version 5), the latest ocean reanalysis produced at the Centro Euro-Mediterraneo per i Cambiamenti Climatici (CMCC) that covers the meteorological satellite era (1980–present) and it is being updated in delayed time mode. The reanalysis is run at eddy-permitting resolution (1∕4° horizontal resolution and 50 vertical levels) and consists of a three-dimensional variational data assimilation system, a surface nudging and a bias correction scheme. With respect to the previous version (v4), C-GLORSv5 contains a number of improvements. In particular, background- and observation-error covariances have been retuned, allowing a flow-dependent inflation in the globally averaged background-error variance. An additional constraint on the Arctic sea-ice thickness was introduced, leading to a realistic ice volume evolution. Finally, the bias correction scheme and the initialization strategy were retuned. Results document that the new reanalysis outperforms the previous version in many aspects, especially in representing the variability of global heat content and associated steric sea level in the last decade, the top 80 m ocean temperature biases and root mean square errors, and the Atlantic Ocean meridional overturning circulation; slight worsening in the high-latitude salinity and deep ocean temperature emerge though, providing the motivation for further tuning of the reanalysis system. The dataset is available in NetCDF format at doi:10.1594/PANGAEA.857995. Article in Journal/Newspaper Arctic Sea ice Unknown Arctic Earth System Science Data 8 2 679 696 |
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geo envir A. Storto S. Masina C-GLORSv5: an improved multipurpose global ocean eddy-permitting physical reanalysis |
topic_facet |
geo envir |
description |
Global ocean reanalyses combine in situ and satellite ocean observations with a general circulation ocean model to estimate the time-evolving state of the ocean, and they represent a valuable tool for a variety of applications, ranging from climate monitoring and process studies to downstream applications, initialization of long-range forecasts and regional studies. The purpose of this paper is to document the recent upgrade of C-GLORS (version 5), the latest ocean reanalysis produced at the Centro Euro-Mediterraneo per i Cambiamenti Climatici (CMCC) that covers the meteorological satellite era (1980–present) and it is being updated in delayed time mode. The reanalysis is run at eddy-permitting resolution (1∕4° horizontal resolution and 50 vertical levels) and consists of a three-dimensional variational data assimilation system, a surface nudging and a bias correction scheme. With respect to the previous version (v4), C-GLORSv5 contains a number of improvements. In particular, background- and observation-error covariances have been retuned, allowing a flow-dependent inflation in the globally averaged background-error variance. An additional constraint on the Arctic sea-ice thickness was introduced, leading to a realistic ice volume evolution. Finally, the bias correction scheme and the initialization strategy were retuned. Results document that the new reanalysis outperforms the previous version in many aspects, especially in representing the variability of global heat content and associated steric sea level in the last decade, the top 80 m ocean temperature biases and root mean square errors, and the Atlantic Ocean meridional overturning circulation; slight worsening in the high-latitude salinity and deep ocean temperature emerge though, providing the motivation for further tuning of the reanalysis system. The dataset is available in NetCDF format at doi:10.1594/PANGAEA.857995. |
format |
Article in Journal/Newspaper |
author |
A. Storto S. Masina |
author_facet |
A. Storto S. Masina |
author_sort |
A. Storto |
title |
C-GLORSv5: an improved multipurpose global ocean eddy-permitting physical reanalysis |
title_short |
C-GLORSv5: an improved multipurpose global ocean eddy-permitting physical reanalysis |
title_full |
C-GLORSv5: an improved multipurpose global ocean eddy-permitting physical reanalysis |
title_fullStr |
C-GLORSv5: an improved multipurpose global ocean eddy-permitting physical reanalysis |
title_full_unstemmed |
C-GLORSv5: an improved multipurpose global ocean eddy-permitting physical reanalysis |
title_sort |
c-glorsv5: an improved multipurpose global ocean eddy-permitting physical reanalysis |
publisher |
Copernicus Publications |
publishDate |
2016 |
url |
https://doi.org/10.5194/essd-8-679-2016 http://www.earth-syst-sci-data.net/8/679/2016/essd-8-679-2016.pdf https://doaj.org/article/a0379e7e05404b0cb7bab050b63637c4 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Sea ice |
genre_facet |
Arctic Sea ice |
op_source |
Earth System Science Data, Vol 8, Iss 2, Pp 679-696 (2016) |
op_relation |
1866-3508 1866-3516 doi:10.5194/essd-8-679-2016 http://www.earth-syst-sci-data.net/8/679/2016/essd-8-679-2016.pdf https://doaj.org/article/a0379e7e05404b0cb7bab050b63637c4 |
op_rights |
undefined |
op_doi |
https://doi.org/10.5194/essd-8-679-2016 |
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Earth System Science Data |
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8 |
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696 |
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