OCO-2 Level 2 bias-corrected solar-induced fluorescence and other select fields from the IMAP-DOAS algorithm aggregated as daily files, Retrospective processing V10r (OCO2_L2_Lite_SIF) at GES DISC

Description

Version 10r is the current version of the data set. Older versions will no longer be available and are superseded by Version 10r. The OCO-2 SIF Lite files contain bias-corrected solar induced chlorophyll fluorescence along with other select fields aggregated as daily files. In early 2021, the OCO Team identified an issue with OCO-2 level 2 products processed since January 28, 2020. The Ancillary Geometric Product (AGAP) file, a static file used in OCO-2 Geolocation processing, was inadvertently replaced with an obsolete version. This AGAP file included a ~300 m pointing error. As a result, all OCO-2 Level 2, version 10r, data files for the period January 28 - December 31, 2020, were corrected and replaced. The replacement process was completed by the end of June, 2021. The significance of this error has been described in Kiel et al. (2019; doi:10.5194/amt-12-2241-2019). 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-2 project uses the LEOStar-2 spacecraft that carries a single instrument. It 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. This collection encompass the output from the IMAP-DOAS preprocessor, which is used for both screening of the official XCO2 product as well as for the retrieval of Solar-Induced Fluorescence from the 0.76 micrometer O2 A-band. The IMAP-DOAS preprocessor, just as the ABO2 cloud screen, is implemented in the operational OCO-2 processing pipeline.

Resources

Name Format Description Link
21 Access the data via HTTP https://oco2.gesdisc.eosdis.nasa.gov/data/OCO2_DATA/OCO2_L2_Lite_SIF.10r/
21 OCO-2 Project Home Page https://ocov2.jpl.nasa.gov/
33 README document https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/README.OCO2.pdf
33 OCO_L2_ATBD.pdf https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/OCO_L2_ATBD.pdf
21 Publications from the Science Team https://ocov2.jpl.nasa.gov/science/publications/
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.5067%2FXO2LBBNPO010
21 Access the dataset landing page from the GES DISC website. https://disc.gsfc.nasa.gov/datacollection/OCO2_L2_Lite_SIF_10r.html
33 Details of the Lite files contents https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/OCO2_XCO2_Lite_Files_and_Bias_Correction.pdf
21 OCO-2 Documentation https://disc.gsfc.nasa.gov/information/documents?title=OCO-2+Documents
21 Use the Earthdata Search to find and retrieve data sets across multiple data centers. https://search.earthdata.nasa.gov/search?q=OCO2_L2_Lite_SIF
33 User's Guide https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/OCO2_OCO3_SIF_DUG.pdf
21 OCO-2 Data Gaps https://disc.gsfc.nasa.gov/information/documents?title=OCO+Known+Data+Issues
21 Access the data via the OPeNDAP protocol. https://oco2.gesdisc.eosdis.nasa.gov/opendap/OCO2_L2_Lite_SIF.10r/contents.html
34 OCO-2 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/OCO2_L2Lite_SIF_10r__20210601.png
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

  • biosphere
  • atmosphere
  • atmospheric-chemistry
  • vegetation
  • earth-science

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