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FLUXCOM-X monthly diurnal cycle of transpiration on global 0.25 degree grid for 2006

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2006-01-01–2006-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/GZql1yKfpD7m5VA5azpPR8am (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/

2006-01-01 00:00:00
2006-12-01 00:00:00
hourly
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ET_T_2006_025_monthlycycle.nc
246 MB (257928293 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

78
0

Submission

2024-01-30 15:01:47
2024-01-30 14:57:14

Technical information

199aa5d7229fa43ee6e550396b3a4f47c6a6bdd58a98c4c595e663bb1672d276
GZql1yKfpD7m5VA5azpPR8amvdWKmMTFleZjuxZy0nY
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