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Institute of Climate and Energy Systems – Troposphere (ICE-3) (Forschungszentrum Jülich)
KSC - Observational Data Clustering Preprocessor
Version 1.0
Hermanns, Alexander; Lange, Anne Caroline; Fuchs, Hendrik; Kowalski, Julia; Franke. Philipp, 2025, "KSC - Observational Data Clustering Preprocessor", https://doi.org/10.26165/JUELICH-DATA/GLTKXZ, Jülich DATA, V1
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Description
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. (2025-12-03)
Subject Earth and Environmental Sciences
Keyword K-Mean, air quality, clustering, Data assimilation
Related Publication Hermanns, A.: KSC – Observational Data Clustering Preprocessor, Zenodo [code], https://doi.org/10.5281/zenodo.14711881, 2025. doi: https://doi.org/10.5281/zenodo.14711881
Institute ICE-3
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