Cluster analysis data and code for global aerosol simulations using the K-means machine learning method

Kurzfassung

This contains data and script for global aerosol clustering from the publication "An aerosol classification scheme for global simulations using the K-means machine learning method" (https://doi.org/10.5194/gmd-15-509-2022). The script applys a K-means clustering algorithm to data extracted from a global simulation with the EMAC-MADE3 global aerosol model (Beet al., 2020). For a range of k clusters two classification metrics are calculated: the sum of squared errors (SSE) and silhouette coefficient (SC).