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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development and technical paper 23 Aug 2018

Development and technical paper | 23 Aug 2018

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This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

CSIB v1: a sea-ice biogeochemical model for the NEMO community ocean modelling framework

Hakase Hayashida1, James R. Christian2,1, Amber M. Holdsworth2, Xianmin Hu3, Adam H. Monahan2, Eric Mortenson1, Paul G. Myers4, Olivier G. J. Riche2, Tessa Sou2, and Nadja S. Steiner2,1 Hakase Hayashida et al.
  • 1School of Earth and Ocean Sciences, University of Victoria, Victoria, British Columbia, Canada
  • 2Fisheries and Oceans Canada, Institute of Ocean Sciences, Sidney, British Columbia, Canada
  • 3Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Nova Scotia, Canada
  • 4Department of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Alberta, Canada

Abstract. 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). This paper describes technical aspects of implementing sea-ice biogeochemistry into NEMO and provides discussion on the results of several model experiments. Results of the reference simulation were evaluated by comparing the model outputs to observations and previous modelling studies. Additional simulations were conducted to assess the model sensitivity to 1) the temporal resolution of the snowfall forcing data, 2) the representation of light penetration through snow, 3) advective and eddy-diffusive 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 submodels such as LIM3 and PISCES.

Hakase Hayashida et al.
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Status: final response (author comments only)
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Hakase Hayashida et al.
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