Articles | Volume 14, issue 4
Geosci. Model Dev., 14, 2097–2111, 2021
https://doi.org/10.5194/gmd-14-2097-2021
Geosci. Model Dev., 14, 2097–2111, 2021
https://doi.org/10.5194/gmd-14-2097-2021

Model description paper 22 Apr 2021

Model description paper | 22 Apr 2021

S-SOM v1.0: a structural self-organizing map algorithm for weather typing

Quang-Van Doan et al.

Data sets

S-SOM v1.0: A structural self-organizing map algorithm for weather typing (Version V1) Q. V. Doan https://doi.org/10.5281/zenodo.4437954

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Short summary
This study proposes a novel structural self-organizing map (S-SOM) algorithm. The superiority of S-SOM is that it can better recognize the difference (or similarity) among spatial (or temporal) data used for training and thus improve the clustering quality compared to traditional SOM algorithms.