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FLUXCOM-X monthly net ecosystem exchange on global 0.5 degree grid for 2013

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2013-01-01–2013-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/5hgXvhCxomk_MPuDuEoYV-nG (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/

2013-01-01 00:00:00
2013-12-01 00:00:00
monthly
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NEE_2013_050_monthly.nc
5 MB (5190197 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

129
0

Submission

2024-01-30 15:59:33
2024-01-30 15:49:28

Technical information

e61817be10b1a2693f30fb83b84a1857e9c6eb9cd90f1449a7b233ce9e1b6b07
5hgXvhCxomk/MPuDuEoYV+nG65zZDxRJp7Izzp4bawc
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