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FLUXCOM-X monthly transpiration on global 0.5 degree grid for 2005

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2005-01-01–2005-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/FvUbKgJc_xUvzDLd_aSnJSYX (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/

2005-01-01 00:00:00
2005-12-01 00:00:00
monthly
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ET_T_2005_050_monthly.nc
5 MB (5090125 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

88
0

Submission

2024-01-30 15:01:07
2024-01-30 14:57:13

Technical information

16f51b2a025cff152fcc32ddfda4a7252617820e08d91675cfb97ff27af3f0b6
FvUbKgJc/xUvzDLd/aSnJSYXgg4I2RZ1z7l/8nrz8LY
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