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FLUXCOM-X daily net ecosystem exchange on global 0.25 degree grid for 2021

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2021-01-01–2021-12-30
10.18160/5NZG-JMJE (target, metadata)
11676/DQozv4y9DR61Ks8F5R6KrLIT (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/

2021-01-01 00:00:00
2021-12-31 00:00:00
daily
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NEE_2021_025_daily.nc
360 MB (377322857 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

130
18

Submission

2024-01-30 16:05:25
2024-01-30 15:49:34

Technical information

0d0a33bf8cbd0d1eb52acf05e51e8aacb213e9011a1c90459f316dbfe3d9044c
DQozv4y9DR61Ks8F5R6KrLIT6QEaHJBFnzFtv+PZBEw
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