Global patterns of land-atmosphere fluxes of carbon dioxide, latent heat, and sensible heat derived from eddy covariance, satellite, and meteorological observations
Work
Year: 2011
Type: article
Abstract: [1] We upscaled FLUXNET observations of carbon dioxide, water, and energy fluxes to the global scale using the machine learning technique, model tree ensembles (MTE). We trained MTE to predict site-le... more
Authors Martin Jung, Markus Reichstein, Hank A. Margolis, Alessandro Cescatti, Andrew D. Richardson +19 more
Institutions Max Planck Society, Université Laval, Joint Research Centre, Harvard University, McMaster University +16 more
Cites: 78
Cited by: 1,401
Related to: 10
FWCI: 29.42
Citation percentile (by year/subfield): 99.99
Subfield: Global and Planetary Change
Field: Environmental Science
Domain: Physical Sciences
Open Access status: bronze