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FLUXCOM-X monthly net ecosystem exchange on global 0.05 degree grid for 2021

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2021-01-01–2021-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/glpSFRUlI0tQ7RehjmMk7VO3 (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/

2021-01-01 00:00:00
2021-12-01 00:00:00
monthly
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NEE_2021_005_monthly.nc
427 MB (447855854 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

157
23

Submission

2024-01-30 16:05:09
2024-01-30 15:49:33

Technical information

825a52151525234b50ed17a18e6324ed53b7728c26608f648c1073059b9ab46f
glpSFRUlI0tQ7RehjmMk7VO3cowmYI9kjBBzBZuatG8
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