CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework
Process-based numerical models are a useful tool for studying marine ecosystems and associated biogeochemical processes in ice-covered regions where observations are scarce. To this end, CSIB v1 (Canadian Sea-ice Biogeochemistry version 1), a new sea-ice biogeochemical model, has been developed and...
Published in: | Geoscientific Model Development |
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Format: | Article in Journal/Newspaper |
Language: | English |
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Copernicus GmbH
2019
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Online Access: | https://eprints.utas.edu.au/34403/ https://eprints.utas.edu.au/34403/1/137169%20-%20CSIB%20v1%20%28Canadian%20Sea-ice%20Biogeochemistry%29.pdf https://eprints.utas.edu.au/34403/2/137169%20-%20supplement.pdf |
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ftunivtasmania:oai:eprints.utas.edu.au:34403 2023-05-15T15:11:39+02:00 CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework Hayashida, H Christian, JR Holdsworth, AM Hu, X Monahan, AH Mortenson, E Myers, PG Riche, OGJ Sou, T Steiner, NS 2019 application/pdf https://eprints.utas.edu.au/34403/ https://eprints.utas.edu.au/34403/1/137169%20-%20CSIB%20v1%20%28Canadian%20Sea-ice%20Biogeochemistry%29.pdf https://eprints.utas.edu.au/34403/2/137169%20-%20supplement.pdf en eng Copernicus GmbH https://eprints.utas.edu.au/34403/1/137169%20-%20CSIB%20v1%20%28Canadian%20Sea-ice%20Biogeochemistry%29.pdf https://eprints.utas.edu.au/34403/2/137169%20-%20supplement.pdf Hayashida, H orcid:0000-0002-6349-4947 , Christian, JR, Holdsworth, AM, Hu, X, Monahan, AH, Mortenson, E, Myers, PG, Riche, OGJ, Sou, T and Steiner, NS 2019 , 'CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework' , Geoscientific Model Development, vol. 12 , pp. 1965-1990 , doi:10.5194/gmd-12-1965-2019 <http://dx.doi.org/10.5194/gmd-12-1965-2019>. arctic biogeochemistry numerical modelling sea ice primary production dimethylsulfide Article PeerReviewed 2019 ftunivtasmania https://doi.org/10.5194/gmd-12-1965-2019 2021-09-20T22:18:49Z Process-based numerical models are a useful tool for studying marine ecosystems and associated biogeochemical processes in ice-covered regions where observations are scarce. To this end, CSIB v1 (Canadian Sea-ice Biogeochemistry version 1), a new sea-ice biogeochemical model, has been developed and embedded into the Nucleus for European Modelling of the Ocean (NEMO) modelling system. This model consists of a three-compartment (ice algae, nitrate, and ammonium) sea-ice ecosystem and a two-compartment (dimethylsulfoniopropionate and dimethylsulfide) sea-ice sulfur cycle which are coupled to pelagic ecosystem and sulfur-cycle models at the sea-ice–ocean interface. In addition to biological and chemical sources and sinks, the model simulates the horizontal transport of biogeochemical state variables within sea ice through a one-way coupling to a dynamic-thermodynamic sea-ice model (LIM2; the Louvain-la-Neuve Sea Ice Model version 2). The model results for 1979 (after a decadal spin-up) are presented and compared to observations and previous model studies for a brief discussion on the model performance. Furthermore, this paper provides discussion on technical aspects of implementing the sea-ice biogeochemistry and assesses the model sensitivity to (1) the temporal resolution of the snowfall forcing data, (2) the representation of light penetration through snow, (3) the horizontal transport of sea-ice biogeochemical state variables, and (4) light attenuation by ice algae. The sea-ice biogeochemical model has been developed within the generic framework of NEMO to facilitate its use within different configurations and domains, and can be adapted for use with other NEMO-based sub-models such as LIM3 (the Louvain-la-Neuve Sea Ice Model version 3) and PISCES (Pelagic Interactions Scheme for Carbon and Ecosystem Studies). Article in Journal/Newspaper Arctic ice algae Sea ice University of Tasmania: UTas ePrints Arctic Geoscientific Model Development 12 5 1965 1990 |
institution |
Open Polar |
collection |
University of Tasmania: UTas ePrints |
op_collection_id |
ftunivtasmania |
language |
English |
topic |
arctic biogeochemistry numerical modelling sea ice primary production dimethylsulfide |
spellingShingle |
arctic biogeochemistry numerical modelling sea ice primary production dimethylsulfide Hayashida, H Christian, JR Holdsworth, AM Hu, X Monahan, AH Mortenson, E Myers, PG Riche, OGJ Sou, T Steiner, NS CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework |
topic_facet |
arctic biogeochemistry numerical modelling sea ice primary production dimethylsulfide |
description |
Process-based numerical models are a useful tool for studying marine ecosystems and associated biogeochemical processes in ice-covered regions where observations are scarce. To this end, CSIB v1 (Canadian Sea-ice Biogeochemistry version 1), a new sea-ice biogeochemical model, has been developed and embedded into the Nucleus for European Modelling of the Ocean (NEMO) modelling system. This model consists of a three-compartment (ice algae, nitrate, and ammonium) sea-ice ecosystem and a two-compartment (dimethylsulfoniopropionate and dimethylsulfide) sea-ice sulfur cycle which are coupled to pelagic ecosystem and sulfur-cycle models at the sea-ice–ocean interface. In addition to biological and chemical sources and sinks, the model simulates the horizontal transport of biogeochemical state variables within sea ice through a one-way coupling to a dynamic-thermodynamic sea-ice model (LIM2; the Louvain-la-Neuve Sea Ice Model version 2). The model results for 1979 (after a decadal spin-up) are presented and compared to observations and previous model studies for a brief discussion on the model performance. Furthermore, this paper provides discussion on technical aspects of implementing the sea-ice biogeochemistry and assesses the model sensitivity to (1) the temporal resolution of the snowfall forcing data, (2) the representation of light penetration through snow, (3) the horizontal transport of sea-ice biogeochemical state variables, and (4) light attenuation by ice algae. The sea-ice biogeochemical model has been developed within the generic framework of NEMO to facilitate its use within different configurations and domains, and can be adapted for use with other NEMO-based sub-models such as LIM3 (the Louvain-la-Neuve Sea Ice Model version 3) and PISCES (Pelagic Interactions Scheme for Carbon and Ecosystem Studies). |
format |
Article in Journal/Newspaper |
author |
Hayashida, H Christian, JR Holdsworth, AM Hu, X Monahan, AH Mortenson, E Myers, PG Riche, OGJ Sou, T Steiner, NS |
author_facet |
Hayashida, H Christian, JR Holdsworth, AM Hu, X Monahan, AH Mortenson, E Myers, PG Riche, OGJ Sou, T Steiner, NS |
author_sort |
Hayashida, H |
title |
CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework |
title_short |
CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework |
title_full |
CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework |
title_fullStr |
CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework |
title_full_unstemmed |
CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework |
title_sort |
csib v1 (canadian sea-ice biogeochemistry): a sea-ice biogeochemical model for the nemo community ocean modelling framework |
publisher |
Copernicus GmbH |
publishDate |
2019 |
url |
https://eprints.utas.edu.au/34403/ https://eprints.utas.edu.au/34403/1/137169%20-%20CSIB%20v1%20%28Canadian%20Sea-ice%20Biogeochemistry%29.pdf https://eprints.utas.edu.au/34403/2/137169%20-%20supplement.pdf |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic ice algae Sea ice |
genre_facet |
Arctic ice algae Sea ice |
op_relation |
https://eprints.utas.edu.au/34403/1/137169%20-%20CSIB%20v1%20%28Canadian%20Sea-ice%20Biogeochemistry%29.pdf https://eprints.utas.edu.au/34403/2/137169%20-%20supplement.pdf Hayashida, H orcid:0000-0002-6349-4947 , Christian, JR, Holdsworth, AM, Hu, X, Monahan, AH, Mortenson, E, Myers, PG, Riche, OGJ, Sou, T and Steiner, NS 2019 , 'CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework' , Geoscientific Model Development, vol. 12 , pp. 1965-1990 , doi:10.5194/gmd-12-1965-2019 <http://dx.doi.org/10.5194/gmd-12-1965-2019>. |
op_doi |
https://doi.org/10.5194/gmd-12-1965-2019 |
container_title |
Geoscientific Model Development |
container_volume |
12 |
container_issue |
5 |
container_start_page |
1965 |
op_container_end_page |
1990 |
_version_ |
1766342479379955712 |