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FLUXCOM-X monthly diurnal cycle of net ecosystem exchange on global 0.25 degree grid for 2019

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2019-01-01–2019-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/W0Faiod2zvwNXmC2v9Xsju1x (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/

2019-01-01 00:00:00
2019-12-01 00:00:00
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NEE_2019_025_monthlycycle.nc
259 MB (271447439 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

81
0

Submission

2024-01-30 16:04:07
2024-01-30 15:49:32

Technical information

5b415a8a8776cefc0d5e60b6bfd5ec8eed71c97cf99ca613e0b454f4f48e72ec
W0Faiod2zvwNXmC2v9Xsju1xyXz5nKYT4LRU9PSOcuw
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