FLUXCOM-X monthly diurnal cycle of evapotranspiration on global 0.25 degree grid for 2010

X-BASE ET (Evapotranspiration) 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.
Gans, F., Duveiller, G., Hamdi, Z., Jung, M., Kraft, B., Nelson, J., Walther, S., Weber, U., Zhang, W. (2023). FLUXCOM-X monthly diurnal cycle of evapotranspiration on global 0.25 degree grid for 2010, Miscellaneous, https://hdl.handle.net/11676/dH7Pb1ZAoGUR1IpofqhGcogd

X-BASE ET（蒸散量）数据集基于FLUXCOM-X框架构建，该框架通过训练机器学习模型对原位涡度协方差数据进行训练，并利用这些模型生成全球性的产品。X-BASE实验作为一个基本配置，旨在为FLUXCOM-X框架提供一个基准，其中包含了核心气象数据、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。本数据集采用XGBoost作为机器学习算法。Gans, F., Duveiller, G., Hamdi, Z., Jung, M., Kraft, B., Nelson, J., Walther, S., Weber, U., Zhang, W. (2023). FLUXCOM-X全球0.25度格网2010年月度日变化蒸散量，Miscellaneous，https://hdl.handle.net/11676/dH7Pb1ZAoGUR1IpofqhGcogd