KSC - Observational Data Clustering Preprocessor (ICPSR doi:10.26165/JUELICH-DATA/GLTKXZ)

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Document Description

Citation

Title:

KSC - Observational Data Clustering Preprocessor

Identification Number:

doi:10.26165/JUELICH-DATA/GLTKXZ

Distributor:

Jülich DATA

Date of Distribution:

2025-12-04

Version:

1

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

Study Description

Citation

Title:

KSC - Observational Data Clustering Preprocessor

Identification Number:

doi:10.26165/JUELICH-DATA/GLTKXZ

Authoring Entity:

Hermanns, Alexander (Forschungszentrum Jülich)

Lange, Anne Caroline (Forschungszentrum Jülich)

Fuchs, Hendrik (Forschungszentrum Jülich)

Kowalski, Julia (RWTH Aachen university)

Franke. Philipp (Forschungszentrum Jülich)

Distributor:

Jülich DATA

Access Authority:

Franke, Philipp

Depositor:

Franke, Philipp

Date of Deposit:

2025-12-03

Study Scope

Keywords:

Earth and Environmental Sciences, K-Mean, air quality, clustering, Data assimilation

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.

Methodology and Processing

Sources Statement

Data Access

Notes:

CC0 Waiver

Other Study Description Materials

Related Publications

Citation

Identification Number:

https://doi.org/10.5281/zenodo.14711881

Bibliographic Citation:

Hermanns, A.: KSC – Observational Data Clustering Preprocessor, Zenodo [code], https://doi.org/10.5281/zenodo.14711881, 2025.

Citation

Identification Number:

https://doi.org/10.5194/gmd-18-9417-2025

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.