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FLUXCOM-X monthly diurnal cycle of net ecosystem exchange on global 0.25 degree grid for 2016

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2016-01-01–2016-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/2muN43SsAFgqwJv8_5iD_Gt8 (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/

2016-01-01 00:00:00
2016-12-01 00:00:00
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NEE_2016_025_monthlycycle.nc
258 MB (270709911 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

82
0

Submission

2024-01-30 16:01:50
2024-01-30 15:49:30

Technical information

da6b8de374ac00582ac09bfcff9883fc6b7c776fd88e1efae92cb7a7df9ce33b
2muN43SsAFgqwJv8/5iD/Gt8d2/Yjh766Sy3p9+c4zs
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