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FLUXCOM-X monthly net ecosystem exchange on global 0.05 degree grid for 2002

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2002-01-01–2002-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/GJgs-rZTLOJ7apRtO7EL1Jvg (link)

X-BASE NEE is based on the FLUXCOM-X framework which trains machine learning models on in-situ eddy covariance data and uses them to produce this global product. The X-BASE experiment is a basic configuration to serve as a baseline for the FLUXCOM-X framework and includes as predictors the core meteorlogical data, plant functional type classification as well as MODIS based vegitation indicies and land surface temperature. XGBoost was used as the machine learning algorithm. The GPP estimates from the eddy covariance data was based on the Nighttime Partitioning method.

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

2002-01-01 00:00:00
2002-12-01 00:00:00
monthly
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NEE_2002_005_monthly.nc
426 MB (446335465 bytes)
3

Production

2023-11-09 11:00:00

Previewable variables

Name Value type Unit Quantity kind Preview
NEE net ecosystem exchange of carbon gC m-2 d-1 particle flux Preview

Statistics

160
0

Submission

2024-01-30 15:50:35
2024-01-30 15:49:18

Technical information

18982cfab6532ce27b6a946d3bb10bd49be09e4e5597f440678eb978be53c668
GJgs+rZTLOJ7apRtO7EL1Jvgnk5Vl/RAZ465eL5Txmg
S: -90, W: -180, N: 90, E: 180
BIOGEOCHEMICAL CYCLES CARBON ECOSYSTEM FUNCTIONS FLUXCOM FLUXCOM-X LAND SURFACE TERRESTRIAL ECOSYSTEMS VEGETATION biosphere modeling carbon flux