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FLUXCOM-X monthly net ecosystem exchange on global 0.5 degree grid for 2019

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2019-01-01–2019-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/TuFaSh9CebSNaCB9F7Mai10H (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/

2019-01-01 00:00:00
2019-12-01 00:00:00
monthly
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NEE_2019_050_monthly.nc
5 MB (5194287 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

121
3

Submission

2024-01-30 16:04:09
2024-01-30 15:49:32

Technical information

4ee15a4a1f4279b48d68207d17b31a8b5d0776cd74080244329d2bdc9165bf6b
TuFaSh9CebSNaCB9F7Mai10Hds10CAJEMp0r3JFlv2s
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