Energy Fluxes

This page has the information of how to access and use the FLUXCOM energy fluxes data products. The data re publicly available for download from Data Portal of the Max Planck Institute for Biogeochemistry. All data download will be handled through the portal.

FTP Access

The native FLUXCOM energy flux products amount to more than 4 TB of data. Products with daily or 8-daily temporal resolution or customized ensemble estimates are available on request to Martin Jung (

The overview paper is under consideration in Scientific Data. A preprint of the manuscript is available at arXiv.

Monthly energy flux data of all ensemble members as well as the ensemble estimates from the FLUXCOM initiative are freely available (CC4.0 BY licence) from the Data Portal after registration. Choose ‘FluxCom’ in the dropdown menu of the database and select FileID 257.

The users will be provided with an access to a ftp server.

FTP Directory Structure

The ftp directory stores 214 GB of data and is structured in a consistent way with the file naming in Table below. The folder structure was designed to facilitate easy download of relevant subsets of the archive and is as per the following convention:


File Naming Conventions

The files are provided in network Common Data Form, version 4 (netCDF-4) data format. The data files are named using the following convention:

Key to naming convention used for the folder structure and naming conventions.

SN item information prefix values
1 EF Energy flux no prefix - LE, H, Rn
2 SETUP Upscaling set up no prefix - RS: for RS products
- RS_METEO: for RS+METEO products
2 EBC Energy balance correction EBC- - ALL: for ensembles that include both energy balance corrected and uncorrected fluxes
- NONE: uncorrected energy fluxes
- BWR: energy fluxes corrected by Bowen’s ratio method
- RES: energy fluxes corrected by residual method
Note that EBC is always NONE for Rn, because it was never corrected.
3 MLM Machine learning method MLM- - ALL: for ensembles that include energy fluxes from all machine learning methods
- ANN, MARS, or RF for energy fluxes from RS+METEO
- Rfmiss, ANNnoPFT, MARSens, GMDH_CV, KRR, MTE, MTE_Viterbo, MTEM, or SVM for energy fluxes from RS
4 METEO Meteorological data METEO- - ALL: for RS+METEO ensembles that include energy fluxes from all meteorological data
- CERES_GPCP, CRUNCEP_v8, GSWP3, or WFDEI: for RS+METEO products using different meteorological data
- NONE: for all energy fluxes from RS (because RS does not use meteorological forcing data)
5 sRESO Spatial resolution no prefix - 720_360: for 0.5°x0.5° native RS+METEO and spatially aggregated RS data
- 4320_2160: for 0.0833°x0.0833° native RS data
6 tRESO Temporal resolution no prefix - monthly: for all data files
7 YYYY Year no prefix - the year for which the data is

Usage Notes for Energy Fluxes