******************************************************** Map of gloabl optimized light use efficiency and GPP modeled using that V 1.05 ******************************************************** DESCRIPTION: The data derived using the flux tower estimation of optimum LUE and interpolated over spatial scales using a statistical approach by using landscape characteristic defined by plant plant trait information, SIF, and topography. GPP is modeled using LUEopt data, GIMMS FPAR and MERRA2 meteorology ********************************************************* DETAILS optimum LUE in gC/MJ; GeoTiff files in geographic projections GPP netcdf files gC/m2/day ********************************************************** CONTACT: Nima Madani (nima.madani@ntsg.umt.edu) John S. Kimball (johnk@ntsg.umt.edu) *********************************************************** ORIGINAL PUBLICATIONS http://onlinelibrary.wiley.com/doi/10.1002/2014JG002709/abstract Madani, N., Kimball, J. S., Affleck, D. L. R., Kattge, J., Graham, J., van Bodegom, P. M., Running, S. W. (2014). Improving ecosystem productivity modeling through spatially explicit estimation of optimal light use efficiency. Journal of Geophysical Research: Biogeosciences, 119-9. doi:10.1002/2014JG002709 Nima Madani,John S. Kimball, Steven W. Running, 2017, Improving Global Gross Primary Productivity Estimates by Computing Optimum Light Use Efficiencies Using Flux Tower Data.Journal of Geophysical Research: Biogeosciences.In Press.