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    • AOML_ET: Partial pressure of CO2 (pCO2) and sea-air CO2 fluxes for the global ocean, along with the predictor variables from 1998-01-01 to 2023-12-30, using an Extra Trees (extremely randomized trees) machine learning (NCEI Accession 0298989)

    Metadata Updated: January 1, 2026

    This dataset contains global surface water partial pressure of CO2 data, pCO2w data, and sea-air CO2 fluxes based on the extremely randomized trees or extra trees, ET machine learning approach. The products are labeled as AOML_ET. The outputs are monthly pCO2 and sea-air CO2 flux fields at 1°x1° resolution covering the global ocean from 1998 to 2023. The results of several different permutations of AOML-ET are provided. They all use the following predictor variables at monthly and at 1°x1° resolution. The variables are time, location, sea surface temperature, SST, sea surface salinity, SSS, mixed layer depth, MLD, and chlorophyll-a, chl-a. The training is performed on the v2020 and v2023 releases of the Surface Ocean CO2 Atlas (www.SOCATinfo). The sea-air CO2 fluxes are computed from the air-sea CO2 partial pressure difference, ∆pCO2, and a bulk gas transfer formulation with windspeed. This data holding includes files of the monthly 1°x1° predictor variables. Several AOML_ET products are provided in this accession. SOCATv2020 and SOCATv2023 are used for training; pCO2w and ∆pCO2 are target variables; two different datasets for air CO2 are used for the calculation of sea-air CO2 fluxes, and three different gas exchange parameterizations are applied to determine the sea-air CO2 fluxes. Details are found in the readme file.

    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.

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    Dates

    Metadata Date 2025-11-29T08:02:59Z
    Metadata Created Date February 1, 2025
    Metadata Updated Date January 1, 2026
    Reference Date(s) November 14, 2024 (publication), November 21, 2024 (revision), November 12, 2024 (creation)
    Frequency Of Update asNeeded

    Metadata Source

    Harvested from NOAA/NESDIS/ncei/accessions

    Other Data Resources

    Graphic Preview

    Preview graphic

    Additional Metadata

    Resource Type Dataset
    Metadata Date 2025-11-29T08:02:59Z
    Metadata Created Date February 1, 2025
    Metadata Updated Date January 1, 2026
    Reference Date(s) November 14, 2024 (publication), November 21, 2024 (revision), November 12, 2024 (creation)
    Responsible Party (Point of Contact)
    Contact Email
    Guid gov.noaa.nodc:0298989
    Access Constraints Cite as: Wanninkhof, Rik; Triñanes, Joaquin A.; Pierrot, Denis; Munro, David R.; Sweeney, Colm; Fay, Amanda R. (2024). AOML_ET: Partial pressure of CO2 (pCO2) and sea-air CO2 fluxes for the global ocean, along with the predictor variables from 1998-01-01 to 2023-12-30, using an Extra Trees (extremely randomized trees) machine learning (NCEI Accession 0298989). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/0s8y-q287. 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 180
    Bbox North Lat 78
    Bbox South Lat -70
    Bbox West Long -180
    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:0298989
    Graphic Preview Type PNG
    Harvest Object Id ebf6f98c-ae1b-4f0b-b793-dcf34c7085b7
    Harvest Source Id c084a438-6f6b-470d-93e0-16aeddb9f513
    Harvest Source Title NOAA/NESDIS/ncei/accessions
    Licence accessLevel: Public
    Lineage
    Metadata Language eng
    Metadata Type geospatial
    Old Spatial {"type": "Polygon", "coordinates": [[[-180.0, -70.0], [180.0, -70.0], [180.0, 78.0], [-180.0, 78.0], [-180.0, -70.0]]]}
    Progress completed
    Spatial Data Service Type
    Spatial Reference System
    Spatial Harvester True
    Temporal Extent Begin 1998-01-01
    Temporal Extent End 2023-12-30

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