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FLUXCOM-X monthly net ecosystem exchange on global 0.5 degree grid for 2016

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2016-01-01–2016-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/OPStwC7MfhEpY_3HcbbQ0i8G (link)

X-BASE NEE 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/

2016-01-01 00:00:00
2016-12-01 00:00:00
monthly
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NEE_2016_050_monthly.nc
5 MB (5191368 bytes)
3

Production

2023-11-09 11:00:00

Previewable variables

Name Value type Unit Quantity kind Preview
NEE net ecosystem exchange of carbon gC m-2 d-1 particle flux Preview

Statistics

124
6

Submission

2024-01-30 16:01:53
2024-01-30 15:49:30

Technical information

38f4adc02ecc7e112963fdc771b6d0d22f064cb4ba8c2cad15de3368aaec650c
OPStwC7MfhEpY/3HcbbQ0i8GTLS6jCytFd4zaKrsZQw
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