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FLUXCOM-X monthly transpiration on global 0.5 degree grid for 2004

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2004-01-01–2004-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/z0MlAY97YKCXZNkUdA1EevN9 (link)

X-BASE ET_T 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/

2004-01-01 00:00:00
2004-12-01 00:00:00
monthly
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ET_T_2004_050_monthly.nc
5 MB (5088141 bytes)
3

Production

2023-11-10 11:00:00

Previewable variables

Name Value type Unit Quantity kind Preview
ET_T transpiration mm h-1 particle flux Preview

Statistics

87
0

Submission

2024-01-30 15:00:23
2024-01-30 14:57:12

Technical information

cf4325018f7b60a09764d914740d447af37d5d1483becfa04152b7eddf317bc7
z0MlAY97YKCXZNkUdA1EevN9XRSDvs+gQVK37d8xe8c
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