ICOS

FLUXCOM-X monthly gross primary productivity on global 0.5 degree grid for 2019

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2019-01-01–2019-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/1K1U7jdeC90ZpLU9n30Sw52C (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/

2019-01-01 00:00:00
2019-12-01 00:00:00
monthly
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GPP_2019_050_monthly.nc
5 MB (5121732 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

144
2

Submission

2024-01-30 15:37:03
2024-01-30 15:22:48

Technical information

d4ad54ee375e0bdd19a4b53d9f7d12c39d82c7497a77db056483e2ffcfd7469f
1K1U7jdeC90ZpLU9n30Sw52Cx0l6d9sFZIPi/8/XRp8
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