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OCO-3 Level 2 geolocated XCO2 retrieval results and algorithm diagnostic information, Retrospective Processing V10r (OCO3_L2_Diagnostic) at GES DISC

Metadata Updated: December 6, 2023

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 Older versions will no longer be available and are superseded by Version 10r.

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.

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.

Oxygen-A Band cloud screening algorithm is one of the primary cloud screening tools implemented in the operational OCO processing pipeline. The algorithm was introduced and applied to early GOSAT data with further analysis performed on OCO-2 simulations.

The OCO ABO2 algorithm employs a fast Bayesian retrieval to estimate surface pressure and surface albedo from high resolution spectra of the molecular oxygen (O2) A-band, near 0.765 µm. The radiative transfer forward model (FM) assumes a clear-sky condition, i.e. Rayleigh scattering only, such that differences between the modeled and measured radiances are apparent when the measurement scene contains cloud or aerosol.

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

Graphic Preview

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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 C2082387247-GES_DISC
Data First Published 2021-05-31
Language en-US
Data Last Modified 2021-05-31
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 Science Team/Michael Gunson, Annmarie Eldering. 2021-06-10. OCO3_L2_Diagnostic. Version 10r. OCO-3 Level 2 geolocated XCO2 retrieval results and algorithm diagnostic information, Retrospective Processing V10r. Greenbelt, MD, USA. Archived by National Aeronautics and Space Administration, U.S. Government, Goddard Earth Sciences Data and Information Services Center (GES DISC). https://doi.org/10.5067/GU9G7Z7TZFEL. https://disc.gsfc.nasa.gov/datacollection/OCO3_L2_Diagnostic_10r.html. Digital Science Data.
Creator OCO Science Team/Michael Gunson, Annmarie Eldering
Data Presentation Form Digital Science Data
Graphic Preview File https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/OCO3_logo.jpg
Harvest Object Id 19841d0d-744b-45bc-b61f-38dd66b2d9c4
Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
Harvest Source Title NASA Data.json
Homepage URL https://doi.org/10.5067/GU9G7Z7TZFEL
Metadata Type geospatial
Old Spatial -180.0 -90.0 180.0 90.0
Program Code 026:001
Release Place Greenbelt, MD, USA
Series Name OCO3_L2_Diagnostic
Source Datajson Identifier True
Source Hash 2c58be98c9ecf4db47e992273389b01a6fc9f71f87024d4c16e63e15d9ff7aed
Source Schema Version 1.1
Spatial
Temporal 2019-08-06T00:00:00Z/2023-03-01T00:00:00Z

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