Overview
DOI | https://doi.org/10.3334/ORNLDAAC/1789 |
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Version | 1 |
Project | |
Published | 2020-11-09 |
Usage | 1217 downloads |
Citations | 11 publications cited this dataset |
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. See our Data Use and Citation Policy for more information.
Data Files
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Companion Files
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Dataset Companion Files
Dataset has 1 companion files.
- Global_Monthly_GPP.pdf
Advanced Data Access through THREDDS Data Server
THREDDS Data Access: Global Monthly GPP from an Improved Light Use Efficiency Model, 1982-2016 THREDDS Data Access.
See our THREDDS Data Server Catalog Service page for more information.