Evaluation of the CMCC eddy-permitting global ocean physical reanalysis system (C-GLORS, 1982-2012) and its assimilation components
Ocean reanalyses are data assimilative simulations, aimed at estimating the four-dimensional state of the ocean over long periods, in a way as consistent over time as possible. They are designed for a wide range of climate applications, such as climate monitoring and low-frequency variability studie...
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ftunibolognairis:oai:cris.unibo.it:11585/783236 2024-02-11T10:08:53+01:00 Evaluation of the CMCC eddy-permitting global ocean physical reanalysis system (C-GLORS, 1982-2012) and its assimilation components Storto A Masina S Navarra A Storto A Masina S Navarra A 2016 ELETTRONICO http://hdl.handle.net/11585/783236 https://doi.org/10.1002/qj.2673 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000372951300018 volume:142 issue:695 firstpage:738 lastpage:758 numberofpages:21 journal:QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY http://hdl.handle.net/11585/783236 doi:10.1002/qj.2673 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84946430149 ocean synthesi model validation data assimilation info:eu-repo/semantics/article 2016 ftunibolognairis https://doi.org/10.1002/qj.2673 2024-01-24T17:56:59Z Ocean reanalyses are data assimilative simulations, aimed at estimating the four-dimensional state of the ocean over long periods, in a way as consistent over time as possible. They are designed for a wide range of climate applications, such as climate monitoring and low-frequency variability studies, along with several downstream applications (e.g. biogeochemical and fishery modelling, initial conditions for long-range coupled predictions, regional model nesting). An upgraded version of the Euro-Mediterranean Center for Climate Change (CMCC) eddy-permitting global ocean reanalysis, named CMCC Global Ocean Reanalysis System (C-GLORS) version 4, was recently released. The reanalysis covers the meteorological satellite era (1982-2012). This article details the configuration of the reanalysis system and provides an extensive validation, focusing on the evaluation of main indexes related to climate monitoring. Cumulative denial experiments are also conducted, in order to understand the relative impact of assimilation components included in C-GLORS (i.e. altimetric data, variational assimilation, bias correction and surface nudging). Results indicate that C-GLORS proves reliable in simulating long-term means, heat and freshwater trends, sea-level variability, mean surface circulation and transports, eddy variability and meridional overturning circulation and its associated heat transport, except for a few specific issues (overestimation of volume transports in the Southern Ocean and slight underestimation of the Atlantic ocean meridional overturning circulation and associated heat transport, the latter mostly linked to underestimation of western boundary northward transports). The results also demonstrate the complementarity of the assimilation components, all improving verification skill scores, for example the importance of the variational assimilation for the simulation of the reanalysis small-scale variability, the importance of the bias-correction scheme for correcting subsurface salinity errors or the role of ... Article in Journal/Newspaper Southern Ocean IRIS Università degli Studi di Bologna (CRIS - Current Research Information System) Southern Ocean Quarterly Journal of the Royal Meteorological Society 142 695 738 758 |
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Open Polar |
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IRIS Università degli Studi di Bologna (CRIS - Current Research Information System) |
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ftunibolognairis |
language |
English |
topic |
ocean synthesi model validation data assimilation |
spellingShingle |
ocean synthesi model validation data assimilation Storto A Masina S Navarra A Evaluation of the CMCC eddy-permitting global ocean physical reanalysis system (C-GLORS, 1982-2012) and its assimilation components |
topic_facet |
ocean synthesi model validation data assimilation |
description |
Ocean reanalyses are data assimilative simulations, aimed at estimating the four-dimensional state of the ocean over long periods, in a way as consistent over time as possible. They are designed for a wide range of climate applications, such as climate monitoring and low-frequency variability studies, along with several downstream applications (e.g. biogeochemical and fishery modelling, initial conditions for long-range coupled predictions, regional model nesting). An upgraded version of the Euro-Mediterranean Center for Climate Change (CMCC) eddy-permitting global ocean reanalysis, named CMCC Global Ocean Reanalysis System (C-GLORS) version 4, was recently released. The reanalysis covers the meteorological satellite era (1982-2012). This article details the configuration of the reanalysis system and provides an extensive validation, focusing on the evaluation of main indexes related to climate monitoring. Cumulative denial experiments are also conducted, in order to understand the relative impact of assimilation components included in C-GLORS (i.e. altimetric data, variational assimilation, bias correction and surface nudging). Results indicate that C-GLORS proves reliable in simulating long-term means, heat and freshwater trends, sea-level variability, mean surface circulation and transports, eddy variability and meridional overturning circulation and its associated heat transport, except for a few specific issues (overestimation of volume transports in the Southern Ocean and slight underestimation of the Atlantic ocean meridional overturning circulation and associated heat transport, the latter mostly linked to underestimation of western boundary northward transports). The results also demonstrate the complementarity of the assimilation components, all improving verification skill scores, for example the importance of the variational assimilation for the simulation of the reanalysis small-scale variability, the importance of the bias-correction scheme for correcting subsurface salinity errors or the role of ... |
author2 |
Storto A Masina S Navarra A |
format |
Article in Journal/Newspaper |
author |
Storto A Masina S Navarra A |
author_facet |
Storto A Masina S Navarra A |
author_sort |
Storto A |
title |
Evaluation of the CMCC eddy-permitting global ocean physical reanalysis system (C-GLORS, 1982-2012) and its assimilation components |
title_short |
Evaluation of the CMCC eddy-permitting global ocean physical reanalysis system (C-GLORS, 1982-2012) and its assimilation components |
title_full |
Evaluation of the CMCC eddy-permitting global ocean physical reanalysis system (C-GLORS, 1982-2012) and its assimilation components |
title_fullStr |
Evaluation of the CMCC eddy-permitting global ocean physical reanalysis system (C-GLORS, 1982-2012) and its assimilation components |
title_full_unstemmed |
Evaluation of the CMCC eddy-permitting global ocean physical reanalysis system (C-GLORS, 1982-2012) and its assimilation components |
title_sort |
evaluation of the cmcc eddy-permitting global ocean physical reanalysis system (c-glors, 1982-2012) and its assimilation components |
publishDate |
2016 |
url |
http://hdl.handle.net/11585/783236 https://doi.org/10.1002/qj.2673 |
geographic |
Southern Ocean |
geographic_facet |
Southern Ocean |
genre |
Southern Ocean |
genre_facet |
Southern Ocean |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000372951300018 volume:142 issue:695 firstpage:738 lastpage:758 numberofpages:21 journal:QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY http://hdl.handle.net/11585/783236 doi:10.1002/qj.2673 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84946430149 |
op_doi |
https://doi.org/10.1002/qj.2673 |
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