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FLUXCOM-X daily transpiration on global 0.25 degree grid for 2018

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2018-01-01–2018-12-30
10.18160/5NZG-JMJE (target, metadata)
11676/iHqLFtW7jYDUQsKyaIFEHSoL (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
2018-12-31 00:00:00
daily
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ET_T_2018_025_daily.nc
355 MB (372180229 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

72
0

Submission

2024-01-30 15:10:22
2024-01-30 14:57:25

Technical information

887a8b16d5bb8d80d442c2b26881441d2a0b00c0d9d7dcb74f87f0f7ff1ae4fa
iHqLFtW7jYDUQsKyaIFEHSoLAMDZ19y3T4fw9/8a5Po
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