FLUXCOM-X monthly diurnal cycle of net ecosystem exchange on global 0.25 degree grid for 2018

X-BASE NEE (Net Ecosystem Exchange) 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 net ecosystem exchange on global 0.25 degree grid for 2018, Miscellaneous, https://hdl.handle.net/11676/03rbOpJqJrtc-DX-oEnp7bim

X-BASE NEE（网络生态系统交换）基于FLUXCOM-X框架构建，该框架通过对现场涡度协方差数据进行机器学习模型训练，并利用这些模型生成全球产品。X-BASE实验作为一种基本配置，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。在此过程中，采用了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度网格2018年月度日变化净生态系统交换，杂项，https://hdl.handle.net/11676/03rbOpJqJrtc-DX-oEnp7bim