BCO-DMO ERDDAP
Accessing BCO-DMO data |
log in
Brought to you by BCO-DMO |
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\n(MITgcm) [Marshall et al., 1997a, b]. The model was configured to allow non-\nhydrostatic dynamics to explicitly resolve deep convection, and the set-up was\nmodified from Jones and Marshall [1993]. The model domain was a box with\nperiodic boundary conditions in the x\\u00a0and y\\u00a0directions of 32 x 32 km\nwith a horizontal\\u00a0resolution of 250 m. The box had a uniform depth of 2\nkm with 41 z-levels with increasing thickness\\u00a0from 10 m\nat\\u00a0surface\\u00a0to 100 m near the bottom. The linear equation of state\nwas\\u00a0used throughout this study. 16 sensitivity experiments were designed\nto explore the behavior of oxygen uptake during the deep convection events\nunder different cooling conditions. Two validation runs were also applied by\nforcing the model using observational data from Argo\n[(http://www.argo.net/](\\\\\"http://www.argo.net/\\\\\")). Detailed information\nabout all simulations can be found in Sun et al [2017]. In this data set,\nhorizontally averaged profiles and vertical transport of dissolved oxygen and\ntemperature from all experiments are included. A few transect of dissolved\noxygen and temperature are also included to demonstrate the evolution of the\nconvection event.\\u00a0 \n \\u00a0 \n\\u00a0References:\\u00a0\n \nJones, H., and J. Marshall (1993), Convection with rotation in a neutral\nocean: A study of open-ocean deep convection, Journal of Physical\nOceanography, 23(6), 1009\\u20131039.\n \nMarshall, J., C. Hill, L. Perelman, and A. Adcroft (1997a), Hydrostatic,\nquasi-hydrostatic, and\\u00a0non-hydrostatic\\u00a0ocean modeling, Journal of\nGeophysical Research: Oceans, 102(C3), 5733\\u20135752.\n \nMarshall, J., A. Adcroft, C. Hill, L. Perelman, and C. Heisey (1997b), A\nfinite-volume, incompressible\\u00a0navier\\u00a0stokes\\u00a0model for studies\nof the ocean on parallel computers, Journal of Geophysical Research: Oceans,\n102(C3), 5753\\u20135766.\n \nSun, D., T. Ito and B. Annalisa, Oxygen flux and vertical transport during\ndeep 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 \n PIs: Takamitsu Ito and Anna Bracco \n data version 28 Jun 2017 \n All 44 MATLAB .mat files listed below with links to download individual files. \n 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:\nRecent 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.\nIn 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.\nBroader Impacts:\nThe 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\nGeneral Circulation Model). The data include profiles under different\nsituations in an idealized domain. \\u00a0The experiment was based\non\\u00a0winter Labrador Sea\\u00a0conditions.\n \nModel output\\u00a0is\\u00a0available to download as MATLAB .mat files by\nclicking the \\Get Data\\ link. \\u00a0Each file includes the output of one run\ncovering 90 days. \n * Contents of .mat files described in\n\\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 |