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GOBAI-O2: A Global Gridded Monthly Dataset of Ocean Interior Dissolved Oxygen Concentrations Based on Shipboard and Autonomous Observations (NCEI Accession 0259304)

Metadata Updated: November 1, 2023

This NCEI accession contains a global gridded data product of observation-based ocean interior dissolved oxygen concentrations. The data product is called GOBAI-O2 for Gridded Ocean Biogeochemistry from Artificial Intelligence - Oxygen. The dissolved oxygen fields were constructed by training machine learning algorithms with observations from shipboard analyses and autonomous profiling floats, then applying those trained algorithms to global gridded fields of temperature and salinity. Those temperature and salinity fields were calculated from a long-term mean field and monthly anomaly fields constructed from the global array of Argo floats (Roemmich and Gilson, 2009), and are presented alongside GOBAI-O2 for easy analysis. Also presented are uncertainty fields for dissolved oxygen, which were calculated by combining three separate sources of uncertainty as described in Sharp et al. (submitted).

The scope and resolution of GOBAI-O2 are as follows: geographically, from -179.5 to 179.5 degrees longitude and -64.5 to 79.5 degrees latitude at 1-degree resolution; with respect to pressure, from 2.5 to 1975 decibars on 58 levels that become incrementally further spaced; and temporally, from January 2004 to December 2022 at monthly resolution. The algorithms used to produce GOBAI-O2 have been validated using real observations and synthetic data from model output, and the data product itself has been compared against the World Ocean Atlas and selected discrete measurements. Results of these validation and comparison exercises are detailed in Sharp et al. (submitted).

Data are in netcdf, Figures are in PNG.

Access & Use Information

License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Date 2023-08-30T13:25:16Z
Metadata Created Date March 17, 2023
Metadata Updated Date November 1, 2023
Reference Date(s) August 30, 2022 (publication), July 8, 2023 (revision)
Frequency Of Update asNeeded

Metadata Source

Harvested from NOAA/NESDIS/ncei/accessions

Graphic Preview

Preview graphic

Additional Metadata

Resource Type Dataset
Metadata Date 2023-08-30T13:25:16Z
Metadata Created Date March 17, 2023
Metadata Updated Date November 1, 2023
Reference Date(s) August 30, 2022 (publication), July 8, 2023 (revision)
Responsible Party (Point of Contact)
Contact Email
Guid gov.noaa.nodc:0259304
Access Constraints Cite as: Sharp, Jonathan D.; Fassbender, Andrea J.; Carter, Brendan R.; Johnson, Gregory C.; Schultz, Cristina; Dunne, John P. (2022). GOBAI-O2: A Global Gridded Monthly Dataset of Ocean Interior Dissolved Oxygen Concentrations Based on Shipboard and Autonomous Observations (NCEI Accession 0259304). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/z72m-yz67. Accessed [date]., Use liability: NOAA and NCEI cannot provide any warranty as to the accuracy, reliability, or completeness of furnished data. Users assume responsibility to determine the usability of these data. The user is responsible for the results of any application of this data for other than its intended purpose.
Bbox East Long 179.5
Bbox North Lat 79.5
Bbox South Lat -64.5
Bbox West Long -179.5
Coupled Resource
Frequency Of Update asNeeded
Graphic Preview Description Preview graphic
Graphic Preview File https://www.ncei.noaa.gov/access/metadata/landing-page/bin/gfx?id=gov.noaa.nodc:0259304
Graphic Preview Type PNG
Licence accessLevel: Public
Lineage
Metadata Language eng
Metadata Type geospatial
Old Spatial {"type": "Polygon", "coordinates": [[[-179.5, -64.5], [179.5, -64.5], [179.5, 79.5], [-179.5, 79.5], [-179.5, -64.5]]]}
Progress completed
Spatial Data Service Type
Spatial Reference System
Spatial Harvester True
Temporal Extent Begin 2004-01-01
Temporal Extent End 2022-12-31

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