Ontology highlight
ABSTRACT:
SUBMITTER: Jung M
PROVIDER: S-EPMC6536554 | biostudies-literature | 2019 May
REPOSITORIES: biostudies-literature
Jung Martin M Koirala Sujan S Weber Ulrich U Ichii Kazuhito K Gans Fabian F Camps-Valls Gustau G Papale Dario D Schwalm Christopher C Tramontana Gianluca G Reichstein Markus M
Scientific data 20190527 1
Although a key driver of Earth's climate system, global land-atmosphere energy fluxes are poorly constrained. Here we use machine learning to merge energy flux measurements from FLUXNET eddy covariance towers with remote sensing and meteorological data to estimate global gridded net radiation, latent and sensible heat and their uncertainties. The resulting FLUXCOM database comprises 147 products in two setups: (1) 0.0833° resolution using MODIS remote sensing data (RS) and (2) 0.5° resolution us ...[more]