10.3334/ORNLDAAC/1789
Madani, N.
N.
Madani
Parazoo, N.C.
N.C.
Parazoo
Global Monthly GPP from an Improved Light Use Efficiency Model, 1982-2016
Vegetation Collection
ORNL Distributed Active Archive Center
2020
BIOSPHERE > VEGETATION > PHOTOSYNTHETICALLY ACTIVE RADIATION > FRACTION OF ABSORBED PHOTOSYNTHETICALLY ACTIVE RADIATION (FAPAR)
BIOSPHERE > VEGETATION > VEGETATION COVER
LAND SURFACE > LAND USE/LAND COVER > LAND USE/LAND COVER CLASSIFICATION
LAND SURFACE > SOILS > SOIL PRODUCTIVITY > GROSS PRIMARY PRODUCTION (GPP)
BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > PRIMARY PRODUCTION
METEOROLOGICAL STATIONS > EDDY CORRELATION DEVICES
Environmental Modeling > Computer
METEOROLOGICAL STATIONS > MMS
LUE
gross primary production
vegetation classes
regression modeling
FPAR
ORNL DAAC
0000-00-00
0000-00-00
1982-01-01/2017-01-01
en
https://daac.ornl.gov/VEGETATION/guides/Global_Monthly_GPP.html
https://daac.ornl.gov/cgi-bin/dataset_lister.pl?p=21
Data Files
1986.217744 MB
netCDF
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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