contact:
- organization: {email: ncei.info@noaa.gov, name: NOAA National Centers for Environmental
      Information}
  roles: [custodian]
- organization: {email: null, name: NOAA National Centers for Environmental Information}
  roles: [custodian]
distribution:
- name: {en: Project Metadata, fr: Project Metadata (FR)}
  url: https://www.ncei.noaa.gov/data/oceans/ncei/ocads/metadata/0287551.html
- name: {en: NCEI Dataset Landing Page, fr: NCEI Dataset Landing Page (FR)}
  url: https://doi.org/10.25921/h8vw-e872
- name: {en: Descriptive Information, fr: Descriptive Information (FR)}
  url: https://www.ncei.noaa.gov/archive/accession/oas/287551
- name: {en: HTTPS, fr: HTTPS (FR)}
  url: https://www.ncei.noaa.gov/archive/accession/download/287551
- name: {en: FTP, fr: FTP (FR)}
  url: ftp://ftp-oceans.ncei.noaa.gov/nodc/archive/arc0222/0287551/
- name: {en: CIOOS HTTP, fr: SIOOC HTTP}
  url: https://data.cioospacific.ca/ocads/gov.noaa.nodc_0287551/
identification:
  abstract:
    en: '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.'
    fr: '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.
      (FR)'
    translations:
      fr: {message: Auto-translated using AWS, validated: false}
  acknowledgement: acknowledgement
  associated_resources: []
  keywords:
    default:
      en: [0287551, Arctic Ocean, Atlantic Ocean, CO2 ANALYZERS > CO2 ANALYZERS, CO3,
        DIC, DISSOLVED INORGANIC CARBON (DIC), 'DOC/NOAA/NESDIS/NCEI > National Centers
          for Environmental Information, NESDIS, NOAA, U.S. Department of Commerce',
        'DOC/NOAA/NESDIS/STAR > Center for Satellite Applications and Research, NESDIS,
          NOAA, U.S. Department of Commerce', EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY
          > INORGANIC CARBON, Gulf of Mexico, H, Model output, North Atlantic Ocean,
        North Pacific Ocean, OCEAN > ARCTIC OCEAN, OCEAN > ATLANTIC OCEAN > NORTH
          ATLANTIC OCEAN, OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > GULF OF
          AMERICA, OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN, OCEAN > PACIFIC OCEAN
          > SOUTH PACIFIC OCEAN, Ocean Acidification Program (OAP), Ocean Carbon and
          Acidification Data System (OCADS), Ocean Carbon and Acidification Data System
          (OCADS) Project, Omega_Aragonite, Omega_Calcite, Pacific Ocean, RF, South
          Pacific Ocean, TA, US DOC; NOAA; NESDIS; Center for Satellite Applications
          and Research, US DOC; NOAA; NESDIS; National Centers for Environmental Information,
        'University of Maryland, College Park', University of Washington, VARIOUS
          CHARTERED VESSELS, chemical, fCO2, model output, pCO2, titrator]
      fr: [0287551 (FR), Arctic Ocean (FR), Atlantic Ocean (FR), CO2 ANALYZERS > CO2
          ANALYZERS (FR), CO3 (FR), DIC (FR), DISSOLVED INORGANIC CARBON (DIC) (FR),
        'DOC/NOAA/NESDIS/NCEI > National Centers for Environmental Information, NESDIS,
          NOAA, U.S. Department of Commerce (FR)', 'DOC/NOAA/NESDIS/STAR > Center
          for Satellite Applications and Research, NESDIS, NOAA, U.S. Department of
          Commerce (FR)', EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > INORGANIC CARBON
          (FR), Gulf of Mexico (FR), H (FR), Model output (FR), North Atlantic Ocean
          (FR), North Pacific Ocean (FR), OCEAN > ARCTIC OCEAN (FR), OCEAN > ATLANTIC
          OCEAN > NORTH ATLANTIC OCEAN (FR), OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC
          OCEAN > GULF OF AMERICA (FR), OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN
          (FR), OCEAN > PACIFIC OCEAN > SOUTH PACIFIC OCEAN (FR), Ocean Acidification
          Program (OAP) (FR), Ocean Carbon and Acidification Data System (OCADS) (FR),
        Ocean Carbon and Acidification Data System (OCADS) Project (FR), Omega_Aragonite
          (FR), Omega_Calcite (FR), Pacific Ocean (FR), RF (FR), South Pacific Ocean
          (FR), TA (FR), US DOC; NOAA; NESDIS; Center for Satellite Applications and
          Research (FR), US DOC; NOAA; NESDIS; National Centers for Environmental
          Information (FR), 'University of Maryland, College Park (FR)', University
          of Washington (FR), VARIOUS CHARTERED VESSELS (FR), chemical (FR), fCO2
          (FR), model output (FR), pCO2 (FR), titrator (FR)]
    eov:
      en: [EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON DIOXIDE, EARTH SCIENCE
          > OCEANS > OCEAN CHEMISTRY > PH, PH METERS > PH METERS, US DOC; NOAA; Office
          of Oceanic and Atmospheric Research; Ocean Acidification Program (OAP),
        carbon dioxide (CO2) gas analyzer, oceanography, pH, pH sensor, partial pressure
          of carbon dioxide - water]
      fr: [EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON DIOXIDE (FR), EARTH SCIENCE
          > OCEANS > OCEAN CHEMISTRY > PH (FR), PH METERS > PH METERS (FR), US DOC;
          NOAA; Office of Oceanic and Atmospheric Research; Ocean Acidification Program
          (OAP) (FR), carbon dioxide (CO2) gas analyzer (FR), oceanography (FR), pH
          (FR), pH sensor (FR), partial pressure of carbon dioxide - water (FR)]
  project:
    en: [project_a, project_b]
    fr: [project_a in french, project_b in french]
  status: onGoing
  temporal_begin: '1950-07-31'
  temporal_duration: P1D
  temporal_end: '2025-04-16'
  time_coverage_resolution: P1D
  title:
    en: RFR-LME Ocean Acidification Indicators from 1998 to 2023 (NCEI Accession 0287551)
    fr: RFR-LME Ocean Acidification Indicators from 1998 to 2023 (NCEI Accession 0287551)
      (FR)
    translations:
      fr: {message: Auto-translated using AWS, validated: false}
instruments:
- description: {en: null, fr: null}
  id: null
  manufacturer: null
  type: {en: null, fr: null}
  version: null
- description: {en: null, fr: null}
  id: null
  manufacturer: null
  type: {en: null, fr: null}
  version: null
- description: {en: null, fr: null}
  id: null
  manufacturer: null
  type: {en: null, fr: null}
  version: null
metadata:
  comment: auto-generated comment
  dates: {creation: '2024-01-01'}
  history:
  - scope: model
    statement:
      en: null
      fr: None (FR)
      translations:
        fr: {message: text translated using the Amazon translate service / texte traduit
            à l'aide du service de traduction Amazon, verified: false}
  - scope: model
    statement:
      en: null
      fr: None (FR)
      translations:
        fr: {message: text translated using the Amazon translate service / texte traduit
            à l'aide du service de traduction Amazon, verified: false}
  identifier: gov.noaa.nodc:0287551
  language: en
  maintenance_note: auto-generated
  naming_authority: ca.cioos
  scope: model
  use_constraints:
    licence: {code: CC-BY-4.0, title: Creative Commons Attribution 4.0, url: 'https://creativecommons.org/licenses/by/4.0/'}
    limitations:
      en: limitations in english
      fr: limitations in french
      translations:
        fr: {message: Auto-translated using AWS, validated: false}
spatial:
  bbox: [140.0, -18.0, -58.0, 82.0]
  description: description of the spatial extent or study area of the dataset
  descriptionIdentifier: A2345-FS323-DG434-345DG
  vertical: [0, 10]
  vertical_positive: down
