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

Overview

DOIhttps://doi.org/10.3334/ORNLDAAC/1789
Version1
Project
Published2020-11-09
Updated2020-11-09
Usage5 downloads

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.

Science Keywords

  • LAND SURFACE
  • SOILS
  • SOIL PRODUCTIVITY
  • GROSS PRIMARY PRODUCTION (GPP)
  • BIOSPHERE
  • VEGETATION
  • VEGETATION COVER
  • BIOSPHERE
  • VEGETATION
  • PHOTOSYNTHETICALLY ACTIVE RADIATION
  • FRACTION OF ABSORBED PHOTOSYNTHETICALLY ACTIVE RADIATION (FAPAR)
  • BIOSPHERE
  • ECOLOGICAL DYNAMICS
  • ECOSYSTEM FUNCTIONS
  • PRIMARY PRODUCTION
  • LAND SURFACE
  • LAND USE/LAND COVER
  • LAND USE/LAND COVER CLASSIFICATION

Data Use and Citation

This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use Policy.

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Crosscite Citation Formatter
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

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Dataset has 1 companion files.

  • Global_Monthly_GPP.pdf