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FLUXCOM-X monthly transpiration on global 0.05 degree grid for 2019

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2019-01-01–2019-11-30
10.18160/5NZG-JMJE (target, metadata)
11676/DmfnxS0AFJKUPjfkv0cK9v_s (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/

2019-01-01 00:00:00
2019-12-01 00:00:00
monthly
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ET_T_2019_005_monthly.nc
416 MB (435939055 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

84
0

Submission

2024-01-30 15:10:52
2024-01-30 14:57:26

Technical information

0e67e7c52d001492943e37e4bf470af6ffec98d2fcd9c614f7a145e00e2507b0
DmfnxS0AFJKUPjfkv0cK9v/smNL82cYU96FF4A4lB7A
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