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...
Main Authors: | , , , , , , , , , |
---|---|
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
2019
|
Subjects: | |
Online Access: | https://era.library.ualberta.ca/items/c73281d2-8c0e-4704-8137-eaa4b8006ab6 https://doi.org/10.7939/r3-w0m3-3w03 |
id |
ftunivalberta:oai:era.library.ualberta.ca:c73281d2-8c0e-4704-8137-eaa4b8006ab6 |
---|---|
record_format |
openpolar |
spelling |
ftunivalberta:oai:era.library.ualberta.ca:c73281d2-8c0e-4704-8137-eaa4b8006ab6 2024-06-23T07:53:37+00:00 CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework Hayashida, Haskase Christian, James R. Holdsworth, Amber M. Hu, Xianmin Monahan, Adam H. Mortenson, Eric Myers, Paul G. Riche, Olivier G. J. Sou, Tessa Steiner, Nadja S. 2019-01-01 https://era.library.ualberta.ca/items/c73281d2-8c0e-4704-8137-eaa4b8006ab6 https://doi.org/10.7939/r3-w0m3-3w03 English eng https://era.library.ualberta.ca/items/c73281d2-8c0e-4704-8137-eaa4b8006ab6 doi:10.7939/r3-w0m3-3w03 http://creativecommons.org/licenses/by/4.0/ Geology Article (Published) 2019 ftunivalberta https://doi.org/10.7939/r3-w0m3-3w03 2024-06-03T03:09:00Z 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 ice algae Sea ice University of Alberta: Era - Education and Research Archive |
institution |
Open Polar |
collection |
University of Alberta: Era - Education and Research Archive |
op_collection_id |
ftunivalberta |
language |
English |
topic |
Geology |
spellingShingle |
Geology Hayashida, Haskase Christian, James R. Holdsworth, Amber M. Hu, Xianmin Monahan, Adam H. Mortenson, Eric Myers, Paul G. Riche, Olivier G. J. Sou, Tessa Steiner, Nadja S. CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework |
topic_facet |
Geology |
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, Haskase Christian, James R. Holdsworth, Amber M. Hu, Xianmin Monahan, Adam H. Mortenson, Eric Myers, Paul G. Riche, Olivier G. J. Sou, Tessa Steiner, Nadja S. |
author_facet |
Hayashida, Haskase Christian, James R. Holdsworth, Amber M. Hu, Xianmin Monahan, Adam H. Mortenson, Eric Myers, Paul G. Riche, Olivier G. J. Sou, Tessa Steiner, Nadja S. |
author_sort |
Hayashida, Haskase |
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 |
publishDate |
2019 |
url |
https://era.library.ualberta.ca/items/c73281d2-8c0e-4704-8137-eaa4b8006ab6 https://doi.org/10.7939/r3-w0m3-3w03 |
genre |
ice algae Sea ice |
genre_facet |
ice algae Sea ice |
op_relation |
https://era.library.ualberta.ca/items/c73281d2-8c0e-4704-8137-eaa4b8006ab6 doi:10.7939/r3-w0m3-3w03 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.7939/r3-w0m3-3w03 |
_version_ |
1802645352772272128 |