FLUXCOM-X-BASE

DOI

The X-BASE products are global fluxes based on the FLUXCOM-X framework which trains machine learning models on in-situ eddy covariance data and uses them to produce these global products. The X-BASE experiment is a basic configuration to serve as a baseline for the FLUXCOM-X framework and includes as predictors the core meteorological data, plant functional type classification as well as MODIS based vegetation indices and land surface temperature. XGBoost was used as the machine learning algorithm.

Published paper: https://egusphere.copernicus.org/preprints/2024/egusphere-2024-165/

Identifier
DOI https://doi.org/10.18160/5NZG-JMJE
Metadata Access https://oai.datacite.org/oai?verb=GetRecord&metadataPrefix=datacite&identifier=doi:10.18160/5nzg-jmje
Provenance
Creator Nelson, Jacob A. ORCID logo; Walther, Sophia ORCID logo; Jung, Martin; Gans, Fabian ORCID logo; Kraft, Basil ORCID logo; Weber, Ulrich (ORCID: 0000-0001-7116-035X); Hamdi, Zayd ORCID logo; Duveiller, Gregory ORCID logo; Zhang, Weijie
Publisher ICOS ERIC -- Carbon Portal
Contributor Nelson, Jacob A.; Walther, Sophia; Jung, Martin; Gans, Fabian; Kraft, Basil; Weber, Ulrich; Hamdi, Zayd; Duveiller, Gregory; Zhang, Weijie
Publication Year 2023
Rights ICOS CCBY4 Data Licence; http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence
OpenAccess true
Representation
Resource Type netcdf; Dataset
Format NetCDF (spatial)
Version 1.0
Discipline Other
Spatial Coverage (-180.000W, -90.000S, 180.000E, 90.000N); Global lat/lon box