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    • Global Monthly GPP from an Improved Light Use Efficiency Model, 1982-2016

    Metadata Updated: December 7, 2023

    This dataset provides global monthly average gross primary productivity (GPP; g carbon/m2/d) modeled at 8 km spatial resolution for each of the 35 years from 1982-2016. GPP is based on the well-known Monteith light use efficiency (LUE) equation but was improved with optimized spatially and temporally explicit LUE values derived from selected FLUXNET tower site data. Optimized LUE was extrapolated to a consistent 8 km resolution global grid using multiple explanatory variables representing climatic, landscape, and vegetation factors influencing LUE and GPP. Global gridded long-term daily GPP was derived using the optimized LUE, Global Inventory Modeling and Mapping Studies (GIMMS3g) canopy fraction of photosynthetically active radiation (FPAR), and Modern-Era Retrospective analysis for Research and Applications, Version 2, (MERRA-2) meteorological information. These data will improve satellite-based estimation and understanding of GPP using a refined LUE model framework.

    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 September 27, 2023
    Metadata Updated Date December 7, 2023

    Metadata Source

    Harvested from NASA Data.json

    Other Data Resources

    Graphic Preview

    Global monthly gross primary productivity (GPP) of biomass for December 2016.

    Additional Metadata

    Resource Type Dataset
    Metadata Created Date September 27, 2023
    Metadata Updated Date December 7, 2023
    Publisher ORNL_DAAC
    Maintainer
    Identifier C2764742564-ORNL_CLOUD
    Data First Published 2020-11-09
    Language en-US
    Data Last Modified 2023-09-11
    Category Vegetation, 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 Madani, N., and N.C. Parazoo. 2020. Global Monthly GPP from an Improved Light Use Efficiency Model, 1982-2016. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1789
    Graphic Preview Description Global monthly gross primary productivity (GPP) of biomass for December 2016.
    Graphic Preview File https://daac.ornl.gov/VEGETATION/guides/Global_Monthly_GPP_Fig1.png
    Harvest Object Id 4567ac13-ff69-4d72-8f4f-bc7345fa46e4
    Harvest Source Id 58f92550-7a01-4f00-b1b2-8dc953bd598f
    Harvest Source Title NASA Data.json
    Homepage URL https://doi.org/10.3334/ORNLDAAC/1789
    Metadata Type geospatial
    Old Spatial -180.0 -90.0 180.0 90.0
    Program Code 026:001
    Source Datajson Identifier True
    Source Hash 6772297a8730afc45ff4eceeacee87c3c24c7d8e073de92bd7cb62e6fe4fda7b
    Source Schema Version 1.1
    Spatial
    Temporal 1982-01-01T00:00:00Z/2017-01-01T23:59:59Z

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