FLUXCOM Global Land Energy Fluxes

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Description FLUXCOM used machine learning to merge energy flux measurements from FLUXNET eddy covariance towers with remote sensing and meteorological data to estimate net radiation (Rn), latent (LE) and sensible heat (H) and their uncertainties. The resulting database comprises 147 global gridded products in two setups: (1) using exclusively MODIS remote sensing data (RS) on a 0.0833° grid, and (2) using remote sensing and meteorological data (RS+METEO) at 0.5° resolution. Within each setup we use a full factorial design across multiple machine learning methods, climate forcing datasets (for RS-METEO) and corrections approaches for biases of FLUXNET data. Here we provide these data on a monthly resolution and provide also FLUXCOM ensemble products. Please see Jung et al. 2019, and Tramontana et al. 2016 before using the data, and cite both papers in publications. A related manuscript was submitted to Scientific Data. A preprint of the submitted version is available at arXiv (http://arxiv.org/abs/1812.04951). These data are freely available on a CC4.0 BY license.
Owners Martin Jung (mjung@bgc-jena.mpg.de)
Publication Date 2018-11-26
Version v1
DOI 10.17871/FLUXCOM_EnergyFluxes_v1
The dataset is available through the MPI BGC FTP server. Please note that the server is not browsable. Please-copy-paste the exact dataset path in your ftp client.
FTP Server ftp.bgc-jena.mpg.de
FTP Path /outgoing/FluxCom/EnergyFluxes/