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    • OCO-3 Level 1B calibrated, geolocated calibration spectra, V10 (OCO3_L1B_Calibration) at GES DISC

    Metadata Updated: December 6, 2023

    Version 10 is the current version of the data set. Older versions will no longer be available and are superseded by Version 10.

    The Orbiting Carbon Observatory -3 (OCO-3) was deployed to the International Space Station in May, 2019. It is technically a single instrument, almost identical to OCO-2.

    The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup in the atmosphere.

    The OCO-3 incorporates three high-resolution spectrometers that make coincident measurements of reflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and in molecular oxygen (O2) A-Band at 0.76 micrometers. The three spectrometers have different characteristics and are calibrated independently. Their raw data numbers (DN) are delivered correlated in time to the Level 1B process as Level 1A products. Each band has 1016 spectralelements, although some are masked out in the L2 retrieval.

    This L1B product results from calibration mode measurements (e.g., Lunar,Solar, Dark observations), and thus it differs from the OCO3_L1B_Science (L1bSc) product. The differences in the product formats are only in the geolocation information provided. Whereas the L1bSc products report geolocation data for each sounding, calibration products report the direction of the boresight vector.

    Access & Use Information

    Public: This dataset is intended for public access and use. 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.

    Downloads & Resources

    Dates

    Metadata Created Date December 1, 2022
    Metadata Updated Date December 6, 2023

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Graphic Preview

    Graphic Preview

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date December 1, 2022
    Metadata Updated Date December 6, 2023
    Publisher NASA/GSFC/SED/ESD/GCDC/GESDISC
    Maintainer
    Identifier C2074239073-GES_DISC
    Data First Published 2021-07-21
    Language en-US
    Data Last Modified 2021-07-21
    Category OCO-3, geospatial
    Public Access Level public
    Bureau Code 026:00
    Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
    Metadata Catalog ID https://data.nasa.gov/data.json
    Schema Version https://project-open-data.cio.gov/v1.1/schema
    Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
    Citation OCO-3 Science Team/Michael Gunson, Annmarie Eldering. 2021-07-29. OCO3_L1B_Calibration. Version 10. OCO-3 Level 1B calibrated, geolocated calibration spectra, V10. Greenbelt, MD, USA. Archived by National Aeronautics and Space Administration, U.S. Government, Goddard Earth Sciences Data and Information Services Center (GES DISC). https://disc.gsfc.nasa.gov/datacollection/OCO3_L1B_Calibration_10.html. Digital Science Data.
    Creator OCO-3 Science Team/Michael Gunson, Annmarie Eldering
    Data Presentation Form Digital Science Data
    Graphic Preview File https://docserver.gesdisc.eosdis.nasa.gov/public/project/Images/OCO3.jpeg
    Harvest Object Id 2e580d6e-8859-4c3b-8421-20baaef8a851
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://cmr.earthdata.nasa.gov:443/search/concepts/C2074239073-GES_DISC.html
    Metadata Type geospatial
    Old Spatial -180.0 -53.0 180.0 53.0
    Program Code 026:001
    Release Place Greenbelt, MD, USA
    Series Name OCO3_L1B_Calibration
    Source Datajson Identifier True
    Source Hash b3097ba1c03abb96a27af7beffd220911ce8e4c776494b96d7008c34f1027aec
    Source Schema Version 1.1
    Spatial
    Temporal 2019-12-17T00:00:00Z/2023-02-28T00:00:00Z

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