ICOS

FLUXCOM-X daily gross primary productivity on global 0.25 degree grid for 2019

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2019-01-01–2019-12-30
10.18160/5NZG-JMJE (target, metadata)
11676/OVjHpIQyYYR0wtg3eI2yjxPM (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
2019-12-31 00:00:00
daily
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GPP_2019_025_daily.nc
346 MB (362339347 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

163
4

Submission

2024-01-30 15:36:50
2024-01-30 15:22:48

Technical information

3958c7a48432618474c2d837788db28f13cc18368ec94479974ab6b5bef3cb50
OVjHpIQyYYR0wtg3eI2yjxPMGDaOyUR5l0q2tb7zy1A
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