A skill assessment of the biogeochemical model REcoM2 coupled to the Finite Element Sea Ice–Ocean Model (FESOM 1.3)

In coupled biogeochmical–ocean models, the choice of numerical schemes in the ocean circulation component can have a large influence on the distribution of the biological tracers. Biogeochemical models are traditionally coupled to ocean general circulation models (OGCMs), which are based on dynamica...

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Published in:Geoscientific Model Development
Main Authors: Schourup-Kristensen, V., Sidorenko, D., Wolf-Gladrow, D. A., Völker, C.
Format: Text
Language:English
Published: 2018
Subjects:
Online Access:https://doi.org/10.5194/gmd-7-2769-2014
https://gmd.copernicus.org/articles/7/2769/2014/
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spelling ftcopernicus:oai:publications.copernicus.org:gmd25887 2023-05-15T18:18:12+02:00 A skill assessment of the biogeochemical model REcoM2 coupled to the Finite Element Sea Ice–Ocean Model (FESOM 1.3) Schourup-Kristensen, V. Sidorenko, D. Wolf-Gladrow, D. A. Völker, C. 2018-09-27 application/pdf https://doi.org/10.5194/gmd-7-2769-2014 https://gmd.copernicus.org/articles/7/2769/2014/ eng eng doi:10.5194/gmd-7-2769-2014 https://gmd.copernicus.org/articles/7/2769/2014/ eISSN: 1991-9603 Text 2018 ftcopernicus https://doi.org/10.5194/gmd-7-2769-2014 2020-07-20T16:24:51Z In coupled biogeochmical–ocean models, the choice of numerical schemes in the ocean circulation component can have a large influence on the distribution of the biological tracers. Biogeochemical models are traditionally coupled to ocean general circulation models (OGCMs), which are based on dynamical cores employing quasi-regular meshes, and therefore utilize limited spatial resolution in a global setting. An alternative approach is to use an unstructured-mesh ocean model, which allows variable mesh resolution. Here, we present initial results of a coupling between the Finite Element Sea Ice–Ocean Model (FESOM) and the biogeochemical model REcoM2 (Regulated Ecosystem Model 2), with special focus on the Southern Ocean. Surface fields of nutrients, chlorophyll a and net primary production (NPP) were compared to available data sets with a focus on spatial distribution and seasonal cycle. The model produces realistic spatial distributions, especially regarding NPP and chlorophyll a , whereas the iron concentration becomes too low in the Pacific Ocean. The modelled NPP is 32.5 Pg C yr −1 and the export production 6.1 Pg C yr −1 , which is lower than satellite-based estimates, mainly due to excessive iron limitation in the Pacific along with too little coastal production. The model performs well in the Southern Ocean, though the assessment here is hindered by the lower availability of observations. The modelled NPP is 3.1 Pg C yr −1 in the Southern Ocean and the export production 1.1 Pg C yr −1 . All in all, the combination of a circulation model on an unstructured grid with a biogeochemical–ocean model shows similar performance to other models at non-eddy-permitting resolution. It is well suited for studies of the Southern Ocean, but on the global scale deficiencies in the Pacific Ocean would have to be taken into account. Text Sea ice Southern Ocean Copernicus Publications: E-Journals Pacific Southern Ocean Geoscientific Model Development 7 6 2769 2802
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collection Copernicus Publications: E-Journals
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language English
description In coupled biogeochmical–ocean models, the choice of numerical schemes in the ocean circulation component can have a large influence on the distribution of the biological tracers. Biogeochemical models are traditionally coupled to ocean general circulation models (OGCMs), which are based on dynamical cores employing quasi-regular meshes, and therefore utilize limited spatial resolution in a global setting. An alternative approach is to use an unstructured-mesh ocean model, which allows variable mesh resolution. Here, we present initial results of a coupling between the Finite Element Sea Ice–Ocean Model (FESOM) and the biogeochemical model REcoM2 (Regulated Ecosystem Model 2), with special focus on the Southern Ocean. Surface fields of nutrients, chlorophyll a and net primary production (NPP) were compared to available data sets with a focus on spatial distribution and seasonal cycle. The model produces realistic spatial distributions, especially regarding NPP and chlorophyll a , whereas the iron concentration becomes too low in the Pacific Ocean. The modelled NPP is 32.5 Pg C yr −1 and the export production 6.1 Pg C yr −1 , which is lower than satellite-based estimates, mainly due to excessive iron limitation in the Pacific along with too little coastal production. The model performs well in the Southern Ocean, though the assessment here is hindered by the lower availability of observations. The modelled NPP is 3.1 Pg C yr −1 in the Southern Ocean and the export production 1.1 Pg C yr −1 . All in all, the combination of a circulation model on an unstructured grid with a biogeochemical–ocean model shows similar performance to other models at non-eddy-permitting resolution. It is well suited for studies of the Southern Ocean, but on the global scale deficiencies in the Pacific Ocean would have to be taken into account.
format Text
author Schourup-Kristensen, V.
Sidorenko, D.
Wolf-Gladrow, D. A.
Völker, C.
spellingShingle Schourup-Kristensen, V.
Sidorenko, D.
Wolf-Gladrow, D. A.
Völker, C.
A skill assessment of the biogeochemical model REcoM2 coupled to the Finite Element Sea Ice–Ocean Model (FESOM 1.3)
author_facet Schourup-Kristensen, V.
Sidorenko, D.
Wolf-Gladrow, D. A.
Völker, C.
author_sort Schourup-Kristensen, V.
title A skill assessment of the biogeochemical model REcoM2 coupled to the Finite Element Sea Ice–Ocean Model (FESOM 1.3)
title_short A skill assessment of the biogeochemical model REcoM2 coupled to the Finite Element Sea Ice–Ocean Model (FESOM 1.3)
title_full A skill assessment of the biogeochemical model REcoM2 coupled to the Finite Element Sea Ice–Ocean Model (FESOM 1.3)
title_fullStr A skill assessment of the biogeochemical model REcoM2 coupled to the Finite Element Sea Ice–Ocean Model (FESOM 1.3)
title_full_unstemmed A skill assessment of the biogeochemical model REcoM2 coupled to the Finite Element Sea Ice–Ocean Model (FESOM 1.3)
title_sort skill assessment of the biogeochemical model recom2 coupled to the finite element sea ice–ocean model (fesom 1.3)
publishDate 2018
url https://doi.org/10.5194/gmd-7-2769-2014
https://gmd.copernicus.org/articles/7/2769/2014/
geographic Pacific
Southern Ocean
geographic_facet Pacific
Southern Ocean
genre Sea ice
Southern Ocean
genre_facet Sea ice
Southern Ocean
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op_relation doi:10.5194/gmd-7-2769-2014
https://gmd.copernicus.org/articles/7/2769/2014/
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