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FLUXCOM-X monthly diurnal cycle of net ecosystem exchange on global 0.25 degree grid for 2003

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2003-01-01–2003-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/S9JHktOY_cTS5IqLk-PuXsda (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/

2003-01-01 00:00:00
2003-12-01 00:00:00
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NEE_2003_025_monthlycycle.nc
256 MB (268818292 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

97
0

Submission

2024-01-30 15:51:51
2024-01-30 15:49:19

Technical information

4bd24792d398fdc4d2e48a8b93e3ee5ec75a302705b691a5cc802c2175c95611
S9JHktOY/cTS5IqLk+PuXsdaMCcFtpGlzIAsIXXJVhE
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