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    • RFR-LME Ocean Acidification Indicators from 1998 to 2023 (NCEI Accession 0287551)

    Metadata Updated: September 2, 2025

    This dataset consists of Gridded monthly data products of surface ocean acidification indicators from 1998 to 2023 and on a 0.25° by 0.25° spatial grid have been developed for eleven U.S. Large Marine Ecosystems (LMEs) using a machine learning algorithm called random forest regression (RFR). The data products are called RFR-LMEs, and were constructed using observations from the Surface Ocean CO2 Atlas — co-located with surface ocean properties from various satellite, reanalysis, and observational products — with an approach that utilized two types of machine learning algorithms: (1) Gaussian mixture models to cluster the data into subregions with similar environmental variability and (2) RFRs that were trained and applied separately in each cluster to interpolate the observational data in space and time. RFR-LMEs also rely on previously published seawater property estimation routines to obtain the full suite of ocean acidification indicators. The products show a domain-wide carbon dioxide partial pressure increase of 1.6 ± 0.4 μatm yr−1 and pH decrease of 0.0015 ± 0.0004 yr−1. More information on the creation and validation of RFR-LMEs is available in the following publication: Sharp, J.D., Jiang, L., Carter, B.R., Lavin, P.D., Yoo, H., Cross, S.L., 2024. A mapped dataset of surface ocean acidification indicators in large marine ecosystems of the United States. Scientific Data, 11, 715, 10.1038/s41597-024- 03530-7.

    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 2025-07-13T07:39:56Z
    Metadata Created Date February 1, 2025
    Metadata Updated Date September 2, 2025
    Reference Date(s) February 1, 2024 (publication), October 15, 2024 (revision)
    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 2025-07-13T07:39:56Z
    Metadata Created Date February 1, 2025
    Metadata Updated Date September 2, 2025
    Reference Date(s) February 1, 2024 (publication), October 15, 2024 (revision)
    Responsible Party (Point of Contact)
    Contact Email
    Guid gov.noaa.nodc:0287551
    Access Constraints Cite as: Sharp, Jonathan D.; Jiang, Li-Qing; Carter, Brendan R.; Lavin, Paige D.; Yoo, Hye Lim; Cross, Scott L. (2024). RFR-LME Ocean Acidification Indicators from 1998 to 2023 (NCEI Accession 0287551). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://doi.org/10.25921/h8vw-e872. 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 -58
    Bbox North Lat 82
    Bbox South Lat -18
    Bbox West Long 140
    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:0287551
    Graphic Preview Type PNG
    Harvest Object Id 735df651-67a2-44e2-ba9a-96310fa39679
    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": [[[140.0, -18.0], [-58.0, -18.0], [-58.0, 82.0], [140.0, 82.0], [140.0, -18.0]]]}
    Progress completed
    Spatial Data Service Type
    Spatial Reference System
    Spatial Harvester True
    Temporal Extent Begin 1998-01-01
    Temporal Extent End 2023-12-31

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