ICOS

FLUXCOM-X monthly gross primary productivity on global 0.05 degree grid for 2019

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2019-01-01–2019-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/fSLg5VxKp09keclFljeIaYV4 (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_005_monthly.nc
421 MB (441048713 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

204
1

Submission

2024-01-30 15:36:34
2024-01-30 15:22:47

Technical information

7d22e0e55c4aa74f6479c9459637886985787630ea3ff6f3ce07740dfdf24743
fSLg5VxKp09keclFljeIaYV4djDqP/bzzgd0Df3yR0M
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