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Grid DAP Data | Sub- set | Table DAP Data | Make A Graph | W M S | Source Data Files | Acces- sible | Title | Sum- mary | FGDC, ISO, Metadata | Back- ground Info | RSS | E | Institution | Dataset ID |
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data | files | public | [Deep convection simulation using MITgcm] - Deep convection simulation from the MITgcm (MIT General Circulation Model) (IVOMLS project) (Interannual variability of oxygen and macro- nutrients in the Labrador Sea) | I M | background | BCO-DMO | bcodmo_dataset_706167 |
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 |
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 | 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/ |
attribute | NC_GLOBAL | data_source | String | extract_data_as_tsv version 2.3 19 Dec 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<now |
attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.712322 |
attribute | NC_GLOBAL | infoUrl | String | https://www.bco-dmo.org/dataset/706167 |
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 | https://www.bco-dmo.org/dataset/706167/license |
attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/706167 |
attribute | NC_GLOBAL | param_mapping | String | {'706167': {}} |
attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/706167/parameters |
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 | IVOMLS |
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 | Biological and Chemical Oceanographic Data Management Office (BCO-DMO) |
attribute | NC_GLOBAL | publisher_type | String | institution |
attribute | NC_GLOBAL | sourceUrl | String | (local files) |
attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
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 using MITgcm] - Deep convection simulation from the MITgcm (MIT General Circulation Model) (IVOMLS project) (Interannual variability of oxygen and macro-nutrients in the Labrador Sea) |
attribute | NC_GLOBAL | version | String | 1 |
attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
variable | experiment_name | String | ||
attribute | experiment_name | bcodmo_name | String | exp_id |
attribute | experiment_name | description | String | Experiment name for model output |
attribute | experiment_name | long_name | String | Experiment Name |
attribute | experiment_name | units | String | unitless |
variable | experiment_type | String | ||
attribute | experiment_type | bcodmo_name | String | exp_type |
attribute | experiment_type | description | String | Experiment type |
attribute | experiment_type | long_name | String | Experiment Type |
attribute | experiment_type | units | String | unitless |
variable | comment | String | ||
attribute | comment | bcodmo_name | String | comment |
attribute | comment | description | String | Experiment description |
attribute | comment | long_name | String | Comment |
attribute | comment | units | String | unitless |
variable | filesize | String | ||
attribute | filesize | bcodmo_name | String | file_size |
attribute | filesize | description | String | File size of the .mat file |
attribute | filesize | long_name | String | Filesize |
attribute | filesize | units | String | unitless |
variable | file_download_link | String | ||
attribute | file_download_link | bcodmo_name | String | file_link |
attribute | file_download_link | description | String | Link to download data as .mat file (HTML link) |
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, .jsonlCSV1, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.