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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ftdoajarticles:oai:doaj.org/article:76076933d04b4423ad103efc7cedc0f5 2023-05-15T18:18:11+02:00 A skill assessment of the biogeochemical model REcoM2 coupled to the Finite Element Sea Ice–Ocean Model (FESOM 1.3) V. Schourup-Kristensen D. Sidorenko D. A. Wolf-Gladrow C. Völker 2014-11-01T00:00:00Z https://doi.org/10.5194/gmd-7-2769-2014 https://doaj.org/article/76076933d04b4423ad103efc7cedc0f5 EN eng Copernicus Publications http://www.geosci-model-dev.net/7/2769/2014/gmd-7-2769-2014.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 1991-959X 1991-9603 doi:10.5194/gmd-7-2769-2014 https://doaj.org/article/76076933d04b4423ad103efc7cedc0f5 Geoscientific Model Development, Vol 7, Iss 6, Pp 2769-2802 (2014) Geology QE1-996.5 article 2014 ftdoajarticles https://doi.org/10.5194/gmd-7-2769-2014 2022-12-31T11:47:55Z 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. Article in Journal/Newspaper Sea ice Southern Ocean Directory of Open Access Journals: DOAJ Articles Pacific Southern Ocean Geoscientific Model Development 7 6 2769 2802 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Geology QE1-996.5 |
spellingShingle |
Geology QE1-996.5 V. Schourup-Kristensen D. Sidorenko D. A. Wolf-Gladrow C. Völker A skill assessment of the biogeochemical model REcoM2 coupled to the Finite Element Sea Ice–Ocean Model (FESOM 1.3) |
topic_facet |
Geology QE1-996.5 |
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 |
Article in Journal/Newspaper |
author |
V. Schourup-Kristensen D. Sidorenko D. A. Wolf-Gladrow C. Völker |
author_facet |
V. Schourup-Kristensen D. Sidorenko D. A. Wolf-Gladrow C. Völker |
author_sort |
V. Schourup-Kristensen |
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) |
publisher |
Copernicus Publications |
publishDate |
2014 |
url |
https://doi.org/10.5194/gmd-7-2769-2014 https://doaj.org/article/76076933d04b4423ad103efc7cedc0f5 |
geographic |
Pacific Southern Ocean |
geographic_facet |
Pacific Southern Ocean |
genre |
Sea ice Southern Ocean |
genre_facet |
Sea ice Southern Ocean |
op_source |
Geoscientific Model Development, Vol 7, Iss 6, Pp 2769-2802 (2014) |
op_relation |
http://www.geosci-model-dev.net/7/2769/2014/gmd-7-2769-2014.pdf https://doaj.org/toc/1991-959X https://doaj.org/toc/1991-9603 1991-959X 1991-9603 doi:10.5194/gmd-7-2769-2014 https://doaj.org/article/76076933d04b4423ad103efc7cedc0f5 |
op_doi |
https://doi.org/10.5194/gmd-7-2769-2014 |
container_title |
Geoscientific Model Development |
container_volume |
7 |
container_issue |
6 |
container_start_page |
2769 |
op_container_end_page |
2802 |
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1766194665724313600 |