Dataset: Deep convection simulation from the MITgcm (MIT General Circulation Model) (IVOMLS project)

ValidatedFinal no updates expectedDOI: 10.1575/1912/bco-dmo.712322Version (2017-06-28)Dataset Type:model results

Principal Investigator: Takamitsu Ito (Georgia Institute of Technology)

Co-Principal Investigator: Dr Annalisa Bracco (Georgia Institute of Technology)

Contact: Daoxun Sun (Georgia Institute of Technology)

BCO-DMO Data Manager: Amber D. York (Woods Hole Oceanographic Institution)


Project: Interannual variability of oxygen and macro-nutrients in the Labrador Sea (IVOMLS)

This dataset includes deep convection simulation output from the MITgcm (MIT General Circulation Model). The data include profiles under different situations in an idealized domain.  The experiment was based on winter Labrador Sea conditions.

Model output is available to download as MATLAB .mat files by clicking the "Get Data" link.  Each file includes the output of one run covering 90 days.
* Contents of .mat files described in  mat_file_variables.csv


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