OCO-2 GEOS Level 3 monthly, 0.5x0.625 assimilated CO2 V10r (OCO2_GEOS_L3CO2_MONTH) at GES DISC

Description

This is the Gridded Monthly OCO-2 Carbon Dioxide assimilated dataset. The OCO-2 mission provides the highest quality space-based XCO2 retrievals to date. However, the instrument data are characterized by large gaps in coverage due to OCO-2’s narrow 10-km ground track and an inability to see through clouds and thick aerosols. This global gridded dataset is produced using a data assimilation technique commonly referred to as state estimation within the geophysical literature. Data assimilation synthesizes simulations and observations, adjusting the state of atmospheric constituents like CO2 to reflect observed values, thus gap-filling observations when and where they are unavailable based on previous observations and short transport simulations by GEOS. Compared to other methods, data assimilation has the advantage that it makes estimates based on our collective scientific understanding, notably of the Earth’s carbon cycle and atmospheric transport. OCO-2 GEOS (Goddard Earth Observing System) Level 3 data are produced by ingesting OCO-2 L2 retrievals every 6 hours with GEOS CoDAS, a modeling and data assimilation system maintained by NASA’s Global Modeling and Assimilation Office (GMAO). GEOS CoDAS uses a high-performance computing implementation of the Gridpoint Statistical Interpolation approach for solving the state estimation problem. GSI finds the analyzed state that minimizes the three-dimensional variational (3D-Var) cost function formulation of the state estimation problem.

Resources

Name Format Description Link
33 User's Guide https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/OCO2_GEOS_L3_User_Guide.pdf
21 Search results for publications that cite this dataset by its DOI. https://scholar.google.com/scholar?q=10.5067%2FBGFIODET3HZ8
21 Access the data via the OPeNDAP protocol. https://oco2.gesdisc.eosdis.nasa.gov/opendap/OCO2_GEOS_L3CO2_MONTH.10r/contents.html
21 OCO-2 Project Home Page https://ocov2.jpl.nasa.gov/
21 Use the Earthdata Search to find and retrieve data sets across multiple data centers. https://search.earthdata.nasa.gov/search?q=OCO2_GEOS_L3CO2_MONTH.10r
33 README document https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/README_OCO2_GEOS.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/
34 OCO2_GEOS_L3CO2_MONTH_10r__201808.png https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/OCO2_GEOS_L3CO2_MONTH_10r__201808.png
21 Access the dataset landing page from the GES DISC website. https://disc.gsfc.nasa.gov/datacollection/OCO2_GEOS_L3CO2_MONTH_10r.html
33 Bias Correction and Warn Levels https://docserver.gesdisc.eosdis.nasa.gov/public/project/OCO/OCO2_XCO2_Lite_Files_and_Bias_Correction.pdf
21 Access the data via HTTP https://oco2.gesdisc.eosdis.nasa.gov/data/OCO2_DATA/OCO2_GEOS_L3CO2_MONTH.10r/
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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