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Part 1: Document Description
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Citation |
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Title: |
KSC - Observational Data Clustering Preprocessor |
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Identification Number: |
doi:10.26165/JUELICH-DATA/GLTKXZ |
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Distributor: |
Jülich DATA |
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Date of Distribution: |
2025-12-04 |
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Version: |
1 |
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Bibliographic Citation: |
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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Citation |
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Title: |
KSC - Observational Data Clustering Preprocessor |
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Identification Number: |
doi:10.26165/JUELICH-DATA/GLTKXZ |
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Authoring Entity: |
Hermanns, Alexander (Forschungszentrum Jülich) |
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Lange, Anne Caroline (Forschungszentrum Jülich) |
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Fuchs, Hendrik (Forschungszentrum Jülich) |
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Kowalski, Julia (RWTH Aachen university) |
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Franke. Philipp (Forschungszentrum Jülich) |
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Distributor: |
Jülich DATA |
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Access Authority: |
Franke, Philipp |
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Depositor: |
Franke, Philipp |
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Date of Deposit: |
2025-12-03 |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, K-Mean, air quality, clustering, Data assimilation |
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Abstract: |
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. |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Notes: |
CC0 Waiver |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
https://doi.org/10.5281/zenodo.14711881 |
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Bibliographic Citation: |
Hermanns, A.: KSC – Observational Data Clustering Preprocessor, Zenodo [code], https://doi.org/10.5281/zenodo.14711881, 2025. |
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Citation |
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Identification Number: |
https://doi.org/10.5194/gmd-18-9417-2025 |
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Bibliographic Citation: |
Hermanns, A., Lange, A. C., Kowalski, J., Fuchs, H., and Franke, P.: Data clustering to optimise the representativity of observational data in air quality data assimilation: a case study with EURAD-IM (version 5.9.1 DA), Geosci. Model Dev., 18, 9417–9432, https://doi.org/10.5194/gmd-18-9417-2025, 2025. |