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FLUXCOM-X monthly net ecosystem exchange on global 0.5 degree grid for 2010

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2010-01-01–2010-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/MM64k6f47UGjlCnQKX0vZjv8 (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/

2010-01-01 00:00:00
2010-12-01 00:00:00
monthly
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NEE_2010_050_monthly.nc
5 MB (5190094 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

132
1

Submission

2024-01-30 15:57:15
2024-01-30 15:49:25

Technical information

30ceb893a7f8ed41a39429d0297d2f663bfc5b58295922f5a5aab4aace3577b7
MM64k6f47UGjlCnQKX0vZjv8W1gpWSL1paq0qs41d7c
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