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FLUXCOM-X monthly transpiration on global 0.5 degree grid for 2018

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2018-01-01–2018-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/Sl7oxnS-6k8PvofniGrPm2el (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/

2018-01-01 00:00:00
2018-12-01 00:00:00
monthly
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ET_T_2018_050_monthly.nc
5 MB (5088858 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

73
0

Submission

2024-01-30 15:10:37
2024-01-30 14:57:26

Technical information

4a5ee8c674beea4f0fbe87e7886acf9b67a58aa4a22f50a5803e1ab4480c50d1
Sl7oxnS+6k8PvofniGrPm2eliqSiL1ClgD4atEgMUNE
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