Building an empirical model of global carbon flux
October 6, 2011
Using a machine learning analysis, M. Jung et al. developed a model that accurately estimated a number of ecosystem-atmosphere fluxes, including the amount of carbon used to fuel plant growth, the carbon produced by the ecosystem, and the latent and sensible energy transfer rates. The FLUXNET-based study, published in J. Geophys. Res., 116, G00J07, was picked as Editor's Highlight in the journal.