Articles | Volume 14, issue 4
https://doi.org/10.5194/gmd-14-2097-2021
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, Hiroyuki Kusaka, Takuto Sato, and Fei Chen

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Latest update: 28 May 2024
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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.