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FLUXCOM-X monthly net ecosystem exchange on global 0.5 degree grid for 2007

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2007-01-01–2007-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/7bLG1XetpUdTv5jZNntvTI-9 (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/

2007-01-01 00:00:00
2007-12-01 00:00:00
monthly
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NEE_2007_050_monthly.nc
5 MB (5191604 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

140
0

Submission

2024-01-30 15:54:56
2024-01-30 15:49:23

Technical information

edb2c6d577ada54753bf98d9367b6f4c8fbddf82eac4d97d7b59b47c6834c6c1
7bLG1XetpUdTv5jZNntvTI+934LqxNl9e1m0fGg0xsE
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