{
    "identifier": "gov.noaa.nodc:0292601",
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        "fn": "Your contact point",
        "hasEmail": "mailto:[email protected]"
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    "programCode": [
        "010:000"
    ],
    "landingPage": "",
    "title": "GHRSST NOAA\/STAR ACSPO v2.80 0.02 degree L3S Dataset from mid-Morning LEO Satellites (GDS version 2) for 2024-05-10 (NCEI Accession 0292601)",
    "description": "NOAA STAR produces two lines of gridded 0.02 degree super-collated L3S LEO sub-skin Sea Surface Temperature (SST) datasets, one from the NOAA afternoon JPSS (L3S_LEO_PM) satellites and the other from the EUMETSAT mid-morning Metop (L3S_LEO_AM) satellites. The L3S_LEO_AM is derived from three Low Earth Orbiting (LEO) Metop-FG satellites: Metop-A, -B and -C. The Metop-FG satellite program was jointly established by the European Space Agency (ESA) and the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT). The US National Oceanic and Atmospheric Administration (NOAA) under the joint NOAA\/EUMETSAT Initial Joint Polar System Agreement, has contributed three Advanced Very High Resolution Radiometer (AVHRR) sensors capable of collecting and transmitting data in the Full Resolution Area Coverage (FRAC; 1km\/nadir) format.  The L3S_LEO_AM dataset is produced by aggregating three L3U datasets from MetOp-FG satellites (MetOp-A, -B and -C; all hosted in PO.DAAC) and covers from Dec 2006-present. The L3S_LEO_AM SST dataset is reported in two files per 24-hour interval, daytime and nighttime (nominal Metop local equator crossing times around 09:30\/21:30, respectively), in NetCDF4 format, compliant with the GHRSST Data Specification version 2 (GDS2). The Near Real Time (NRT) L3S-LEO data are archived at PO.DAAC with approximately 6 hours latency, and then replaced by the Re-ANalysis (RAN) files about 2 months later, with identical file names. The dataset is validated against quality controlled in situ data, provided by the NOAA in situ SST Quality Monitor system (iQuam; Xu and Ignatov, 2014), and monitored in another NOAA system, SST Quality Monitor (SQUAM; Dash et al, 2010). The L3S SST imagery and local coverage are continuously evaluated, and checked for consistency with other Level 2, 3 and 4 datasets in the ACSPO Regional Monitor for SST (ARMS) system. NOAA plans to include data from other mid-morning platforms and sensors, such as MetOp-SG METImage and Terra MODIS, into L3S_LEO_AM. More information about the dataset can be found under the Documentation and Citation tabs. Version Description: Advanced Clear Sky Processor for Ocean version 2.80.",
    "language": "",
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    ],
    "bureauCode": [
        "010:04"
    ],
    "modified": "2024-05-13T12:07:37.182Z",
    "publisher": {
        "@type": "org:Organization",
        "name": "Your Publisher"
    },
    "theme": "",
    "keyword": [
        "0292601",
        "SEA SURFACE TEMPERATURE",
        "WIND SPEED",
        "AVHRR-3",
        "satellite data",
        "MetOp-B (Meteorological Operational satellite-B)",
        "MetOp-C (Meteorological Operational satellite-C)",
        "US DOC; NOAA; NESDIS; Center for Satellite Applications and Research",
        "US NASA; Jet Propulsion Laboratory; Physical Oceanography Distributed Active Archive Center",
        "Group for High Resolution Sea Surface Temperature (GHRSST)",
        "World-Wide Distribution",
        "oceanography",
        "DOC\/NOAA\/NESDIS\/STAR > Center for Satellite Applications and Research, NESDIS, NOAA, U.S. Department of Commerce",
        "NASA\/JPL\/PODAAC > Physical Oceanography Distributed Active Archive Center, Jet Propulsion Laboratory, NASA",
        "GHRSST > Group for High Resolution Sea Surface Temperature",
        "EARTH SCIENCE > ATMOSPHERE > ATMOSPHERIC WINDS > SURFACE WINDS > WIND SPEED",
        "EARTH SCIENCE > OCEANS > OCEAN TEMPERATURE > SEA SURFACE TEMPERATURE",
        "AVHRR-3 > Advanced Very High Resolution Radiometer-3",
        "METOP-B > Meteorological Operational Satellite - B",
        "METOP-C > Meteorological Operational Satellite - C",
        "GEOGRAPHIC REGION > GLOBAL OCEAN",
        "environment",
        "oceans",
        "climatologyMeteorologyAtmosphere"
    ]
}