FLUXCOM-X monthly net ecosystem exchange on global 0.05 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 net ecosystem exchange on global 0.05 degree grid for 2018, Miscellaneous, https://hdl.handle.net/11676/cTR2ffr2XB18Yucr3xYFA8Ue

X-BASE NEE（网络生态系统交换）基于FLUXCOM-X框架构建，该框架通过在原位涡度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。在本研究中，XGBoost被选为机器学习算法。Gans, F., Duveiller, G., Hamdi, Z., Jung, M., Kraft, B., Nelson, J., Walther, S., Weber, U., Zhang, W. (2023). FLUXCOM-X每月全球0.05度网格的净生态系统交换量（2018年），杂项，https://hdl.handle.net/11676/cTR2ffr2XB18Yucr3xYFA8Ue