OCO-3 Level 2 bias-corrected solar-induced fluorescence and other select fields from the IMAP-DOAS algorithm aggregated as daily files, Retrospective processing V11r (OCO3_L2_Lite_SIF) at GES DISC

Description

Version 11r is the current version of the data set. Older versions will no longer be available and are superseded by Version 11r. 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.

Resources

Name Format Description Link
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.5067%2FHC776J71KV41
34 OCO-3 L2 Lite Product , Solar-Induced Chlorophyll Fluorescence, (SIF) at 771nm, one day (June/01/2021), variable "Daily_SIF_771nm", in W/m^2/sr/micron units. Note that, although the data range is truncated at 0, small negatives values are retained in the data to avoid positive biases in SIF distributions. https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/OCO3_L2_Lite_SIF_10r__20210601.png
21 Access the dataset landing page from the GES DISC website. https://disc.gsfc.nasa.gov/datacollection/OCO3_L2_Lite_SIF_11r.html
33 OCO-3 Data Quality Statement https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/OCO3_L2_DQ_Statement_v10_v104.pdf
21 Access the data via HTTP https://oco2.gesdisc.eosdis.nasa.gov/data/OCO3_DATA/OCO3_L2_Lite_SIF.11r/
21 Use the Earthdata Search to find and retrieve data sets across multiple data centers. https://search.earthdata.nasa.gov/search?q=OCO3_L2_Lite_SIF
33 README document https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/README.OCO2.pdf
33 User's Guide https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/OCO3_L2_DQ_Statement_v10_v104.pdf
33 Details of the Lite files contents https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/OCO2_XCO2_Lite_Files_and_Bias_Correction.pdf
33 OCO_L2_ATBD.pdf https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/OCO_L2_ATBD.pdf
33 Details of the SIF Lite files contents https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/OCO2_SIF_B7000_Product_Description_090215.pdf
21 Publications from the Science Team https://ocov3.jpl.nasa.gov/science/publications/
21 OCO Documentation https://disc.gsfc.nasa.gov/information/documents?title=OCO-2+Documents
21 Access the data via the OPeNDAP protocol. https://oco2.gesdisc.eosdis.nasa.gov/opendap/OCO3_L2_Lite_SIF.11r/contents.html
21 OCO-3 Data Gaps https://disc.gsfc.nasa.gov/information/documents?title=OCO-3+Known+Data+Issues
21 This software (NASA NTR-49044) retrieves a set of atmospheric/surface/instrument parameters from a simultaneous fit to spectra from multiple absorption bands. The software uses an iterative, non-linear retrieval technique (optimal estimation). After the retrieval process has converged, the software performs an error analysis. The products of the software include all quantities needed to understand the information content of the measurement, its uncertainty, and its dependence on interfering atmospheric properties. Jet Propulsion Laboratory, California Institute of Technology. Copyright 2016 California Institute of Technology. U.S. Government sponsorship acknowledged. https://github.com/nasa/RtRetrievalFramework

Tags

  • atmosphere
  • atmospheric-chemistry
  • earth-science

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