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FLUXCOM-X monthly diurnal cycle of net ecosystem exchange on global 0.25 degree grid for 2018

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2018-01-01–2018-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/FcyaCMj5cku2ET2iMkKnT1mB (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/

2018-01-01 00:00:00
2018-12-01 00:00:00
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NEE_2018_025_monthlycycle.nc
257 MB (269844935 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

86
0

Submission

2024-01-30 16:03:21
2024-01-30 15:49:32

Technical information

15cc9a08c8f9724bb6113da23242a74f5981c2c79744c1e0162249a19d38d3c8
FcyaCMj5cku2ET2iMkKnT1mBwseXRMHgFiJJoZ0408g
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