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FLUXCOM-X monthly net ecosystem exchange on global 0.05 degree grid for 2020

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2020-01-01–2020-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/mmbysH89CA7s-0Zwza02cZ1y (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/

2020-01-01 00:00:00
2020-12-01 00:00:00
monthly
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NEE_2020_005_monthly.nc
427 MB (447702498 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

137
2

Submission

2024-01-30 16:04:25
2024-01-30 15:49:33

Technical information

9a66f2b07f3d080eecfb4670cdad36719d72656a7f9b43f5abc5790978a8e8d2
mmbysH89CA7s+0Zwza02cZ1yZWp/m0P1q8V5CXio6NI
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