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FLUXCOM-X monthly transpiration on global 0.05 degree grid for 2013

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2013-01-01–2013-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/Vnhulm9oGLfi7Fcb7mGYcQRG (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/

2013-01-01 00:00:00
2013-12-01 00:00:00
monthly
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ET_T_2013_005_monthly.nc
414 MB (434541528 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

91
0

Submission

2024-01-30 15:06:28
2024-01-30 14:57:20

Technical information

56786e966f6818b7e2ec571bee6198710446c479c23c4ebbd194d1fc2800c3b5
Vnhulm9oGLfi7Fcb7mGYcQRGxHnCPE670ZTR/CgAw7U
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