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FLUXCOM-X monthly diurnal cycle of transpiration on global 0.25 degree grid for 2005

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2005-01-01–2005-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/9iNk4sqohD1xgwokr1qvet8u (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/

2005-01-01 00:00:00
2005-12-01 00:00:00
hourly
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ET_T_2005_025_monthlycycle.nc
247 MB (259127066 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 15:01:04
2024-01-30 14:57:13

Technical information

f62364e2caa8843d71830a24af5aaf7adf2e0969152ad00f3aebd85011584b50
9iNk4sqohD1xgwokr1qvet8uCWkVKtAPOuvYUBFYS1A
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