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FLUXCOM-X monthly transpiration on global 0.05 degree grid for 2012

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2012-01-01–2012-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/SyDgnokWJhbKaiBGl1hJB7gv (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/

2012-01-01 00:00:00
2012-12-01 00:00:00
monthly
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ET_T_2012_005_monthly.nc
414 MB (434453740 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 15:05:43
2024-01-30 14:57:19

Technical information

4b20e09e89162616ca6a204697584907b82f283e1fe28f98593074026daf9283
SyDgnokWJhbKaiBGl1hJB7gvKD4f4o+YWTB0Am2vkoM
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