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FLUXCOM-X monthly net ecosystem exchange on global 0.5 degree grid for 2006

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2006-01-01–2006-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/DpLCGswUGeA8zEpOOqxWJ6sC (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/

2006-01-01 00:00:00
2006-12-01 00:00:00
monthly
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NEE_2006_050_monthly.nc
5 MB (5189529 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

139
0

Submission

2024-01-30 15:54:10
2024-01-30 15:49:22

Technical information

0e92c21acc1419e03ccc4a4e3aac5627ab02c51289c2951a5cd5f93a0c737d27
DpLCGswUGeA8zEpOOqxWJ6sCxRKJwpUaXNX5OgxzfSc
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