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FLUXCOM-X monthly net ecosystem exchange on global 0.05 degree grid for 2012

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2012-01-01–2012-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/zxv0f7Em0MZ1CNf18xqCBgoi (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/

2012-01-01 00:00:00
2012-12-01 00:00:00
monthly
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NEE_2012_005_monthly.nc
426 MB (446173150 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

135
0

Submission

2024-01-30 15:58:16
2024-01-30 15:49:26

Technical information

cf1bf47fb126d0c67508d7f5f31a82060a223488bca930db375ad45ad4262f83
zxv0f7Em0MZ1CNf18xqCBgoiNIi8qTDbN1rUWtQmL4M
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