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FLUXCOM-X daily net ecosystem exchange on global 0.25 degree grid for 2016

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2016-01-01–2016-12-30
10.18160/5NZG-JMJE (target, metadata)
11676/xZwAbARagQdBmd1kDb-tZd2G (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
2016-12-31 00:00:00
daily
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NEE_2016_025_daily.nc
358 MB (375405862 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

104
0

Submission

2024-01-30 16:01:38
2024-01-30 15:49:30

Technical information

c59c006c045a81074199dd640dbfad65dd8611cd55c682f82d1da467b652f2b2
xZwAbARagQdBmd1kDb+tZd2GEc1VxoL4LR2kZ7ZS8rI
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