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     data        files  public Deep convection simulation from the MITgcm (MIT General Circulation Model) (IVOMLS project)    ?     I   M   background (external link) RSS BCO-DMO bcodmo_dataset_706167

The Dataset's Variables and Attributes

Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL access_formats String .htmlTable,.csv,.json,.mat,.nc,.tsv
attribute NC_GLOBAL acquisition_description String All experiments were performed\u00a0using the MIT General Circulation Model
(MITgcm) [Marshall et al., 1997a, b]. The model was configured to allow non-
hydrostatic dynamics to explicitly resolve deep convection, and the set-up was
modified from Jones and Marshall [1993]. The model domain was a box with
periodic boundary conditions in the x\u00a0and y\u00a0directions of 32 x 32 km
with a horizontal\u00a0resolution of 250 m. The box had a uniform depth of 2
km with 41 z-levels with increasing thickness\u00a0from 10 m
at\u00a0surface\u00a0to 100 m near the bottom. The linear equation of state
was\u00a0used throughout this study. 16 sensitivity experiments were designed
to explore the behavior of oxygen uptake during the deep convection events
under different cooling conditions. Two validation runs were also applied by
forcing the model using observational data from Argo
[(http://www.argo.net/](\\"http://www.argo.net/\\")). Detailed information
about all simulations can be found in Sun et al [2017]. In this data set,
horizontally averaged profiles and vertical transport of dissolved oxygen and
temperature from all experiments are included. A few transect of dissolved
oxygen and temperature are also included to demonstrate the evolution of the
convection event.\u00a0
\u00a0
\u00a0References:\u00a0

Jones, H., and J. Marshall (1993), Convection with rotation in a neutral
ocean: A study of open-ocean deep convection, Journal of Physical
Oceanography, 23(6), 1009\u20131039.

Marshall, J., C. Hill, L. Perelman, and A. Adcroft (1997a), Hydrostatic,
quasi-hydrostatic, and\u00a0non-hydrostatic\u00a0ocean modeling, Journal of
Geophysical Research: Oceans, 102(C3), 5733\u20135752.

Marshall, J., A. Adcroft, C. Hill, L. Perelman, and C. Heisey (1997b), A
finite-volume, incompressible\u00a0navier\u00a0stokes\u00a0model for studies
of the ocean on parallel computers, Journal of Geophysical Research: Oceans,
102(C3), 5753\u20135766.

Sun, D., T. Ito and B. Annalisa, Oxygen flux and vertical transport during
deep convection events,\u00a0submitted\u00a0to Global Biogeochemical Cycles.
attribute NC_GLOBAL awards_0_award_nid String 706159
attribute NC_GLOBAL awards_0_award_number String OCE-1357373
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1357373 (external link)
attribute NC_GLOBAL awards_0_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_0_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_0_funding_source_nid String 355
attribute NC_GLOBAL awards_0_program_manager String Dr Henrietta N Edmonds
attribute NC_GLOBAL awards_0_program_manager_nid String 51517
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String Deep convection simulation using MITgcm
PIs: Takamitsu Ito and Anna Bracco
data version 28 Jun 2017
All 44 MATLAB .mat files listed below with links to download individual files.
Or download a ZIP file containing all .mat files: <a href='http://dmoserv3.whoi.edu/data_docs/IVOMLS/MITgcm/model_output.zip'>model_output.zip (50 MB)</a>
attribute NC_GLOBAL Conventions String COARDS, CF-1.6, ACDD-1.3
attribute NC_GLOBAL creator_email String info at bco-dmo.org
attribute NC_GLOBAL creator_name String BCO-DMO
attribute NC_GLOBAL creator_type String institution
attribute NC_GLOBAL creator_url String https://www.bco-dmo.org/ (external link)
attribute NC_GLOBAL data_source String extract_data_as_tsv version 2.2d 13 Jun 2019
attribute NC_GLOBAL date_created String 2017-06-27T16:16:32Z
attribute NC_GLOBAL date_modified String 2017-08-08T11:37:36Z
attribute NC_GLOBAL defaultDataQuery String &time
attribute NC_GLOBAL doi String 10.1575/1912/bco-dmo.712322
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/706167 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL keywords String bco, bco-dmo, biological, chemical, comment, data, dataset, dmo, download, erddap, experiment, experiment_name, experiment_type, file, file_download_link, filesize, link, management, name, oceanography, office, preliminary, type
attribute NC_GLOBAL license String The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/706167 (external link)
attribute NC_GLOBAL param_mapping String {'706167': {}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/706167/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String Georgia Institute of Technology
attribute NC_GLOBAL people_0_affiliation_acronym String Georgia Tech
attribute NC_GLOBAL people_0_person_name String Takamitsu Ito
attribute NC_GLOBAL people_0_person_nid String 51088
attribute NC_GLOBAL people_0_role String Principal Investigator
attribute NC_GLOBAL people_0_role_type String originator
attribute NC_GLOBAL people_1_affiliation String Georgia Institute of Technology
attribute NC_GLOBAL people_1_affiliation_acronym String Georgia Tech
attribute NC_GLOBAL people_1_person_name String Dr Annalisa Bracco
attribute NC_GLOBAL people_1_person_nid String 706163
attribute NC_GLOBAL people_1_role String Co-Principal Investigator
attribute NC_GLOBAL people_1_role_type String originator
attribute NC_GLOBAL people_2_affiliation String Georgia Institute of Technology
attribute NC_GLOBAL people_2_affiliation_acronym String Georgia Tech
attribute NC_GLOBAL people_2_person_name String Daoxun Sun
attribute NC_GLOBAL people_2_person_nid String 706173
attribute NC_GLOBAL people_2_role String Contact
attribute NC_GLOBAL people_2_role_type String related
attribute NC_GLOBAL people_3_affiliation String Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_3_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_3_person_name String Amber York
attribute NC_GLOBAL people_3_person_nid String 643627
attribute NC_GLOBAL people_3_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_3_role_type String related
attribute NC_GLOBAL project String Interannual variability of oxygen and macro-nutrients in the Labrador Sea
attribute NC_GLOBAL projects_0_acronym String IVOMLS
attribute NC_GLOBAL projects_0_description String NSF abstract:
Recent observations and climate model projections indicate that the global oxygen inventory may be declining due to the lower solubility and the increasing stratification associated with a warming climate. Decomposition of organic matter in the deep sea consumes dissolved oxygen, which must be replenished by the circulation of oxygen-rich waters from the polar regions. Without vigorous oxygen supply from the high latitudes, the global oceans will lose oxygen.
In this study, researchers at Georgia Tech will use a hierarchy of models to simulate oxygen and nutrient cycling in the Labrador Sea, one of the regions of deep water formation in the North Atlantic, over a fifty year period. The Labrador Sea is also a region of extreme seasonality and intense biological productivity, thus oxygen cycling there likely reflects multiple physical and biological processes. Results from this study will promote a better understanding of the interannual variability of oxygen and nutrients in the Labrador Sea, and ultimately contribute to knowledge on how a changing climate impacts these cycles.
Broader Impacts:
The broader impacts of this project include student training, international collaboration and outreach to K-12 students.
attribute NC_GLOBAL projects_0_end_date String 2018-04
attribute NC_GLOBAL projects_0_geolocation String Labrador Sea
attribute NC_GLOBAL projects_0_name String Interannual variability of oxygen and macro-nutrients in the Labrador Sea
attribute NC_GLOBAL projects_0_project_nid String 706160
attribute NC_GLOBAL projects_0_start_date String 2014-05
attribute NC_GLOBAL publisher_name String Amber York
attribute NC_GLOBAL publisher_role String BCO-DMO Data Manager(s)
attribute NC_GLOBAL sourceUrl String (local files)
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v29
attribute NC_GLOBAL summary String 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. \u00a0The experiment was based
on\u00a0winter Labrador Sea\u00a0conditions.

Model output\u00a0is\u00a0available to download as MATLAB .mat files by
clicking the \Get Data\ link. \u00a0Each file includes the output of one run
covering 90 days.
* Contents of .mat files described in
\u00a0[mat_file_variables.csv](\\http://dmoserv3.whoi.edu/data_docs/IVOMLS/MITgcm/mat_file_variables.csv\\)
attribute NC_GLOBAL title String Deep convection simulation from the MITgcm (MIT General Circulation Model) (IVOMLS project)
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.5-beta
variable experiment_name   String  
attribute experiment_name description String Experiment name for model output
attribute experiment_name ioos_category String Unknown
attribute experiment_name long_name String Experiment Name
attribute experiment_name units String unitless
variable experiment_type   String  
attribute experiment_type description String Experiment type
attribute experiment_type ioos_category String Unknown
attribute experiment_type long_name String Experiment Type
attribute experiment_type units String unitless
variable comment   String  
attribute comment description String Experiment description
attribute comment ioos_category String Unknown
attribute comment long_name String Comment
attribute comment units String unitless
variable filesize   String  
attribute filesize description String File size of the .mat file
attribute filesize ioos_category String Unknown
attribute filesize long_name String Filesize
attribute filesize units String unitless
variable file_download_link   String  
attribute file_download_link description String Link to download data as .mat file (HTML link)
attribute file_download_link ioos_category String Unknown
attribute file_download_link long_name String File Download Link
attribute file_download_link units String unitless

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.


 
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