ICOS

FLUXCOM-X monthly gross primary productivity on global 0.5 degree grid for 2008

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2008-01-01–2008-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/7wqNYO9lPhyU8kvSou_VmzgJ (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/

2008-01-01 00:00:00
2008-12-01 00:00:00
monthly
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GPP_2008_050_monthly.nc
5 MB (5122867 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

159
0

Submission

2024-01-30 15:28:51
2024-01-30 15:22:38

Technical information

ef0a8d60ef653e1c94f24bd2a2efd59b380996265db71282fab527c17fae3fb5
7wqNYO9lPhyU8kvSou/VmzgJliZdtxKC+rUnwX+uP7U
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