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FLUXCOM-X daily net ecosystem exchange on global 0.25 degree grid for 2013

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2013-01-01–2013-12-30
10.18160/5NZG-JMJE (target, metadata)
11676/oZ5wxQu14jRPSyNnqXkWq_aM (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/

2013-01-01 00:00:00
2013-12-31 00:00:00
daily
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NEE_2013_025_daily.nc
372 MB (389707402 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

96
0

Submission

2024-01-30 15:59:18
2024-01-30 15:49:27

Technical information

a19e70c50bb5e2344f4b2367a97916abf68c3614effb39546d0368df6d52a6cd
oZ5wxQu14jRPSyNnqXkWq/aMNhTv+zlUbQNo321Sps0
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