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FLUXCOM-X monthly diurnal cycle of gross primary productivity on global 0.25 degree grid for 2021

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2021-01-01–2021-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/wVoXudL2Bl71A9TIRhBRaxMR (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/

2021-01-01 00:00:00
2021-12-01 00:00:00
hourly
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GPP_2021_025_monthlycycle.nc
261 MB (273770631 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

108
4

Submission

2024-01-30 15:38:32
2024-01-30 15:22:50

Technical information

c15a17b9d2f6065ef503d4c84610516b1311d88b6ba79795efde6f9100f3041c
wVoXudL2Bl71A9TIRhBRaxMR2Itrp5eV795vkQDzBBw
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