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FLUXCOM-X daily transpiration on global 0.25 degree grid for 2008

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2008-01-01–2008-12-30
10.18160/5NZG-JMJE (target, metadata)
11676/I0YWL7YXCL2_n3ghUCamDrHP (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/

2008-01-01 00:00:00
2008-12-31 00:00:00
daily
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ET_T_2008_025_daily.nc
351 MB (367920771 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

82
0

Submission

2024-01-30 15:03:04
2024-01-30 14:57:16

Technical information

2346162fb61708bdbf9f78215026a60eb1cf062a2da3cac99e849f00c1a81794
I0YWL7YXCL2/n3ghUCamDrHPBioto8rJnoSfAMGoF5Q
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