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FLUXCOM-X monthly net ecosystem exchange on global 0.05 degree grid for 2007

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2007-01-01–2007-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/1H8QrMld4ACspt7pC7k1bdbp (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_005_monthly.nc
427 MB (447440837 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

153
0

Submission

2024-01-30 15:54:25
2024-01-30 15:49:22

Technical information

d47f10acc95de000aca6dee90bb9356dd6e918a6f8d69dc6bf16eaa68c08abba
1H8QrMld4ACspt7pC7k1bdbpGKb41p3GvxbqpowIq7o
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