{
    "identifier": "gov.noaa.nodc:0287551",
    "accessLevel": "public",
    "contactPoint": {
        "@type": "vcard:Contact",
        "fn": "Your contact point",
        "hasEmail": "mailto:[email protected]"
    },
    "programCode": [
        "010:000"
    ],
    "landingPage": "",
    "title": "RFR-LME Ocean Acidification Indicators from 1998 to 2022 (NCEI Accession 0287551)",
    "description": "This dataset consists of gridded monthly data products of surface ocean acidification indicators from 1998 to 2022 and on a 0.25\u00b0 by 0.25\u00b0 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 \u2014 co-located with surface ocean properties from various satellite, reanalysis, and observational products \u2014 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 1.5 \u00b1 0.4 \u03bcatm yr\u22121 and pH decrease of 0.0014 \u00b1 0.0004 yr\u22121. Refer to Sharp et al., 2024 for more information on the creation and validation of RFR-LMEs.",
    "language": "",
    "distribution": [
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            "accessURL": "https:\/\/www.ncei.noaa.gov\/metadata\/geoportal\/\/rest\/metadata\/item\/gov.noaa.nodc%3A0287551\/html"
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    ],
    "bureauCode": [
        "010:04"
    ],
    "modified": "2024-08-06T09:49:53.779Z",
    "publisher": {
        "@type": "org:Organization",
        "name": "Your Publisher"
    },
    "theme": "",
    "keyword": [
        "0287551",
        "DISSOLVED INORGANIC CARBON (DIC)",
        "partial pressure of carbon dioxide - water",
        "pH",
        "carbon dioxide (CO2) gas analyzer",
        "pH sensor",
        "titrator",
        "chemical",
        "model output",
        "VARIOUS CHARTERED VESSELS",
        "University of Maryland",
        "University of Washington",
        "US DOC; NOAA; NESDIS; Center for Satellite Applications and Research",
        "US DOC; NOAA; NESDIS; National Centers for Environmental Information",
        "University of Washington",
        "Ocean Carbon and Acidification Data System (OCADS)",
        "US DOC; NOAA; Office of Oceanic and Atmospheric Research; Ocean Acidification Program (OAP)",
        "Arctic Ocean",
        "Gulf of Mexico",
        "North Atlantic Ocean",
        "North Pacific Ocean",
        "South Pacific Ocean",
        "oceanography",
        "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",
        "Ocean Acidification Program (OAP)",
        "Ocean Carbon and Acidification Data System (OCADS) Project",
        "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > CARBON DIOXIDE",
        "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > INORGANIC CARBON",
        "EARTH SCIENCE > OCEANS > OCEAN CHEMISTRY > PH",
        "Model output",
        "CO3",
        "DIC",
        "H",
        "Omega_Aragonite",
        "Omega_Calcite",
        "RF",
        "TA",
        "fCO2",
        "pCO2",
        "pH",
        "CO2 ANALYZERS > CO2 ANALYZERS",
        "PH METERS > PH METERS",
        "OCEAN > ARCTIC OCEAN",
        "OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN",
        "OCEAN > ATLANTIC OCEAN > NORTH ATLANTIC OCEAN > GULF OF MEXICO",
        "OCEAN > PACIFIC OCEAN > NORTH PACIFIC OCEAN",
        "OCEAN > PACIFIC OCEAN > SOUTH PACIFIC OCEAN",
        "Arctic Ocean",
        "Atlantic Ocean",
        "Pacific Ocean",
        "environment",
        "oceans"
    ]
}