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FLUXCOM-X monthly diurnal cycle of net ecosystem exchange on global 0.25 degree grid for 2014

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2014-01-01–2014-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/ThX1TXtQAmR7hcxII9fDZdbg (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/

2014-01-01 00:00:00
2014-12-01 00:00:00
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NEE_2014_025_monthlycycle.nc
255 MB (267162411 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

79
0

Submission

2024-01-30 16:00:18
2024-01-30 15:49:28

Technical information

4e15f54d7b5002647b85cc4823d7c365d6e04582cd554d0344daea940ba0ee43
ThX1TXtQAmR7hcxII9fDZdbgRYLNVU0DRNrqlAug7kM
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