%0 Dataset
%T A flux tower site attribute dataset intended for land surface modeling
%J National Cryosphere Desert Data Center
%I National Cryosphere Desert Data Center(www.ncdc.ac.cn)
%U http://www.ncdc.ac.cn/portal/metadata/39b63a52-7c6d-47e4-805f-bcf77fb5fd41
%W NCDC
%R 10.5281/zenodo.10939725
%A Yuan Hua
%K Land Surface Model (LSM);Vortex Covariance Flux Tower;Energy Balance Closure (EBC)
%X The Land Surface Model (LSM) should have reliable forcing, validation, and surface attribute data as the foundation for effective development and improvement of the model. The vortex covariance flux tower data is considered as the benchmark data for LSM. However, currently available flux tower datasets often require multi-faceted processing to ensure data quality before being applied to LSM. More importantly, these datasets lack on-site observational attribute data, which limits their use as benchmark data. Here, we conducted a comprehensive quality screening of the existing reprocessed flux tower dataset, including gap filling data ratio, external interference, and energy balance closure (EBC), and ultimately identified 90 high-quality sites. For these sites, we collected vegetation, soil, terrain information, and wind speed measurement heights from literature, regional networks, and biological, auxiliary, interference, and metadata (BADM) files. Then, we obtained the final flux tower attribute dataset through global data product supplementation and classification of plant functional types (PFTs).