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FLUXCOM-X monthly net ecosystem exchange on global 0.5 degree grid for 2014

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2014-01-01–2014-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/I7yRK5WgGURuLcpPK8wjODrD (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/

2014-01-01 00:00:00
2014-12-01 00:00:00
monthly
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NEE_2014_050_monthly.nc
5 MB (5191916 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

122
0

Submission

2024-01-30 16:00:20
2024-01-30 15:49:29

Technical information

23bc912b95a019446e2dca4f2bcc23383ac36dfb382fb3f6aba98a9380045770
I7yRK5WgGURuLcpPK8wjODrDbfs4L7P2q6mKk4AEV3A
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