KSC - Observational Data Clustering Preprocessor
收藏DataCite Commons2025-12-04 更新2026-05-03 收录
下载链接：
https://data.fz-juelich.de/citation?persistentId=doi:10.26165/JUELICH-DATA/GLTKXZ
下载链接
链接失效反馈官方服务：
资源简介：
Preprocessing routine for ground-based atmospheric monitoring network data. Utilizing a k-means soft constrained clustering algorithm to derive a representative sub-sampling of the availiable data into an assimilation and validation set. This work was partially performed as part of the Helmholtz School for Data Science in Life, Earth and Energy (HDS- LEE) and received funding from the Helmholtz Association of German Research Centres.
提供机构：
Jülich DATA
创建时间：
2025-12-04
