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Description
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.
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Madani, N., & Parazoo, N. C. (2020). Global Monthly GPP from an Improved Light Use Efficiency Model, 1982-2016 (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1789 Date Accessed: 2026-10-04
@article{madani_parazoo_2020,
title={Global Monthly GPP from an Improved Light Use Efficiency Model, 1982-2016},
url={https://www.earthdata.nasa.gov/data/catalog/ornl-cloud-global-monthly-gpp-1789-1},
DOI={10.3334/ORNLDAAC/1789},
abstractNote={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.},
publisher={ORNL Distributed Active Archive Center},
author={Madani, N. and Parazoo, N.C.},
year={2020},
language={en},
}
Madani, N., & Parazoo, N. C. (2020). Global Monthly GPP from an Improved Light Use Efficiency Model, 1982-2016 (Version 1). ORNL Distributed Active Archive Center. https://doi.org/10.3334/ORNLDAAC/1789 Date Accessed: 2026-10-04
Madani, N., and N.C. Parazoo. “Global Monthly GPP from an Improved Light Use Efficiency Model, 1982-2016.” With ORNL DAAC, Version 1, ORNL Distributed Active Archive Center, 1 Jan. 2020, https://doi.org/10.3334/ORNLDAAC/1789. Date Accessed: 2026-10-04
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