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FLUXCOM-X monthly transpiration on global 0.5 degree grid for 2002

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2002-01-01–2002-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/Gns7iJX2kUKb41T_UoOMNDha (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/

2002-01-01 00:00:00
2002-12-01 00:00:00
monthly
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ET_T_2002_050_monthly.nc
5 MB (5093528 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

94
0

Submission

2024-01-30 14:58:56
2024-01-30 14:57:10

Technical information

1a7b3b8895f691429be354ff52838c34385a388d98ab3ba64c9dcda8e3cabdd4
Gns7iJX2kUKb41T/UoOMNDhaOI2YqzumTJ3NqOPKvdQ
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