CSIB v1 (Canadian Sea-ice Biogeochemistry): a sea-ice biogeochemical model for the NEMO community ocean modelling framework
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Published:2019-05-15
Issue:5
Volume:12
Page:1965-1990
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ISSN:1991-9603
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Container-title:Geoscientific Model Development
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language:en
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Short-container-title:Geosci. Model Dev.
Author:
Hayashida HakaseORCID, Christian James R., Holdsworth Amber M., Hu XianminORCID, Monahan Adam H., Mortenson Eric, Myers Paul G.ORCID, Riche Olivier G. J., Sou Tessa, Steiner Nadja S.
Abstract
Abstract. 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).
Funder
ArcticNet Fisheries and Oceans Canada Environment and Climate Change Canada
Publisher
Copernicus GmbH
Reference79 articles.
1. Abraham, C., Steiner, N., Monahan, A., and Michel, C.: Effects of
subgrid-scale
snow thickness variability on radiative transfer in sea ice, J.
Geophys. Res.-Oceans, 120, 5597–5614, https://doi.org/10.1002/2015JC010741, 2015. a 2. Amante, C. and Eakins, B. W.: ETOPO1 1 arc-minute global relief model:
procedures, data sources and analysis, US Department of Commerce, National
Oceanic and Atmospheric Administration, National Environmental Satellite,
Data, and Information Service, National Geophysical Data Center, Marine
Geology and Geophysics Division Colorado, Boulder, Colorado, USA, 2009. a 3. Arora, V. K., Scinocca, J. F., Boer, G. J., Christian, J. R., Denman, K. L.,
Flato, G. M., Kharin, V. V., Lee, W. G., and Merryfield, W. J.: Carbon
emission limits required to satisfy future representative concentration
pathways of greenhouse gases, Geophys. Res. Lett., 38, L05805,
https://doi.org/10.1029/2010GL046270, 2011. a 4. Arrigo, K. R.: Sea Ice Ecosystems, Annu. Rev. Mar. Sci., 6,
439–467, https://doi.org/10.1146/annurev-marine-010213-135103, 2014. a 5. Arrigo, K. R., Sullivan, C. W., and Kremer, J. N.: A bio-optical model of
Antarctic sea ice, J. Geophys. Res.-Oceans, 96,
10581–10592, https://doi.org/10.1029/91JC00455,
1991. a
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