FLUXCOM-X monthly transpiration on global 0.05 degree grid for 2001

X-BASE ET_T (Transpiration) 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 transpiration estimates from the eddy covariance data was based on the Transpiration Estimation Algorithm (TEA).
Gans, F., Duveiller, G., Hamdi, Z., Jung, M., Kraft, B., Nelson, J., Walther, S., Weber, U., Zhang, W. (2023). FLUXCOM-X monthly transpiration on global 0.05 degree grid for 2001, Miscellaneous, https://hdl.handle.net/11676/nW0EhN4e_NUVabVkY83D_1KJ

X-BASE ET_T（蒸腾作用）数据集基于FLUXCOM-X框架，该框架通过在原位涡相关数据上训练机器学习模型，并利用这些模型生成全球产品。X-BASE实验作为一种基础配置，旨在为FLUXCOM-X框架提供基准，其中包含核心气象数据、植物功能型分类以及基于MODIS的植被指数和地表温度作为预测因子。本研究采用了XGBoost作为机器学习算法。蒸腾作用的估算基于蒸腾作用估算算法（TEA）。Gans, F., Duveiller, G., Hamdi, Z., Jung, M., Kraft, B., Nelson, J., Walther, S., Weber, U., Zhang, W. (2023). 全球0.05度格网下FLUXCOM-X月度蒸腾作用数据，Miscellaneous，https://hdl.handle.net/11676/nW0EhN4e_NUVabVkY83D_1KJ