ICOS

FLUXCOM-X monthly gross primary productivity on global 0.05 degree grid for 2003

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2003-01-01–2003-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/PVraeElR5m56hNQe1foHvPBY (link)

X-BASE GPP 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
monthly
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GPP_2003_005_monthly.nc
419 MB (439747400 bytes)
3

Production

2023-11-10 11:00:00

Previewable variables

Name Value type Unit Quantity kind Preview
GPP gross primary productivity of carbon gC m-2 d-1 particle flux Preview

Statistics

221
0

Submission

2024-01-30 15:24:36
2024-01-30 15:22:34

Technical information

3d5ada784951e66e7a84d41ed5fa07bcf0588aec6fa64c5b6f6e3da8a9aa624a
PVraeElR5m56hNQe1foHvPBYiuxvpkxbb249qKmqYko
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