Articles | Volume 14, issue 4
https://doi.org/10.5194/gmd-14-2097-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-14-2097-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
22 Apr 2021
Model description paper |
| 22 Apr 2021
| 22 Apr 2021
S-SOM v1.0: a structural self-organizing map algorithm for weather typing
Quang-Van Doan
CORRESPONDING AUTHOR
Center for Computational Sciences, University of Tsukuba, Tsukuba,
Ibaraki, Japan
Hiroyuki Kusaka
Center for Computational Sciences, University of Tsukuba, Tsukuba,
Ibaraki, Japan
Takuto Sato
Graduate School of Life and Environmental Sciences, University of
Tsukuba, Tsukuba,
Ibaraki, Japan
Fei Chen
Research Applications Laboratory, National Center for Atmospheric
Research, Boulder, CO, USA
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- The use of machine learning to assess failure risks of shallow continuous tunnels subjected to active dip-slip faults V. Amini & S. Khoshrou https://doi.org/10.1080/19236026.2025.2603168
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- Pattern Mining of Older Drivers’ Driving Behavior Through Telematics-Data-Driven Unsupervised Learning S. Moshfeghi & J. Jang https://doi.org/10.1109/JSEN.2025.3592817
- Projected future changes in water availability and dry spells in Japan: Dynamic and thermodynamic climate impacts M. Ohba et al. https://doi.org/10.1016/j.wace.2022.100523
- Urbanization Enhances Shorter‐Duration Precipitation Intensity in the Yangtze River Delta Region X. Xie et al. https://doi.org/10.1029/2024JD043300
- Interpretational Pitfalls in SOM-Based Clustering: A Case Study of Extreme Cold Events in South Korea J. Yoon et al. https://doi.org/10.3390/atmos17010044
- Attributing meteorological contributions to wintertime PM2.5 in China across synoptic weather patterns using machine learning Y. Zhang et al. https://doi.org/10.1016/j.atmosres.2026.109019
- Objective Classification of Convective Precipitation in Chengdu Terminal Area Using a Self-Organizing Map and Its Impacts on Terminal Area Operations H. Li et al. https://doi.org/10.3390/atmos17040421
28 citations as recorded by crossref.
- Organized precipitation and associated large‐scale circulation patterns over the Kingdom of Saudi Arabia T. Luong et al. https://doi.org/10.1002/joc.8524
- Effects of meteorological and climatological factors on extremely high residual load and possible future changes M. Ohba et al. https://doi.org/10.1016/j.rser.2023.113188
- Using a Self-Organizing Map to Explore Local Weather Features for Smart Urban Agriculture in Northern Taiwan A. Huang & F. Chang https://doi.org/10.3390/w13233457
- Determining the onset of summer rainfall over Vietnam using self-organizing maps T. Bui-Minh et al. https://doi.org/10.1007/s00382-024-07385-x
- Impact of weather patterns and meteorological factors on PM2.5 and O3 responses to the COVID-19 lockdown in China F. Shen et al. https://doi.org/10.5194/acp-24-6539-2024
- Comparative Analysis of the Clustering Quality in Self-Organizing Maps for Human Posture Classification L. Ekemeyong Awong & T. Zielinska https://doi.org/10.3390/s23187925
- Hourly extreme rainfall projections over South Korea using convection permitting climate simulations G. Seo et al. https://doi.org/10.1038/s41612-025-01067-z
- Assessment of long-term historical trends in winter precipitation in Japan using large-ensemble climate simulations: Changes in the impact of southern coastal cyclones M. Ohba & H. Kawase https://doi.org/10.1007/s00382-024-07213-2
- Understanding Internal Cluster Variability Through Subcluster Metric Analysis in a Geophysical Context A. Schuddeboom & A. McDonald https://doi.org/10.1029/2022EA002373
- Pan evaporation is increased by submerged macrophytes B. Simon-Gáspár et al. https://doi.org/10.5194/hess-26-4741-2022
- Environmental monitoring of oil pollution in the marine waters using machine learning and remote sensing M. Mokarram & T. Pham https://doi.org/10.1016/j.asr.2025.01.062
- Offshore wind resource assessment by characterizing weather regimes based on self-organizing map S. Yang et al. https://doi.org/10.1088/1748-9326/aca2c2
- Impact of weather regime on projected future changes in streamflow in a heavy snowfall area of Japan M. Ohba et al. https://doi.org/10.1007/s00382-022-06163-x
- Dynamic and thermodynamic contributions of ENSO to winter precipitation in Japan: frequency and precipitation of synoptic weather patterns M. Ohba & S. Sugimoto https://doi.org/10.1007/s00382-021-06052-9
- Structural k-means (S k-means) and clustering uncertainty evaluation framework (CUEF) for mining climate data Q. Doan et al. https://doi.org/10.5194/gmd-16-2215-2023
- Dispersion Simulation Using the 1-km Gridded Wind Fields Constructed by Super-Resolution Surrogate Downscaling T. SEKIYAMA & M. KAJINO https://doi.org/10.2151/jmsj.2025-016
- The role of large-scale atmospheric patterns for recent warming periods in Greenland from 1900–2015 F. Schalamon et al. https://doi.org/10.5194/wcd-6-1075-2025
- Coupled effects of meteorological and irrigation factors differentiate spatiotemporal variability and seasonal fluctuations of groundwater levels Q. Gao et al. https://doi.org/10.1016/j.agwat.2026.110196
- Increased water vapor transports of atmospheric rivers around the western flank of the North Pacific High since the 1980s Y. Kamae et al. https://doi.org/10.1007/s00382-026-08189-x
- The use of machine learning to assess failure risks of shallow continuous tunnels subjected to active dip-slip faults V. Amini & S. Khoshrou https://doi.org/10.1080/19236026.2025.2603168
- Projected climate change impacts on hydrological droughts in Japan: dependency on climate and weather patterns M. Ohba et al. https://doi.org/10.1007/s00382-025-07624-9
- S-SOM v1.0: a structural self-organizing map algorithm for weather typing Q. Doan et al. https://doi.org/10.5194/gmd-14-2097-2021
- Pattern Mining of Older Drivers’ Driving Behavior Through Telematics-Data-Driven Unsupervised Learning S. Moshfeghi & J. Jang https://doi.org/10.1109/JSEN.2025.3592817
- Projected future changes in water availability and dry spells in Japan: Dynamic and thermodynamic climate impacts M. Ohba et al. https://doi.org/10.1016/j.wace.2022.100523
- Urbanization Enhances Shorter‐Duration Precipitation Intensity in the Yangtze River Delta Region X. Xie et al. https://doi.org/10.1029/2024JD043300
- Interpretational Pitfalls in SOM-Based Clustering: A Case Study of Extreme Cold Events in South Korea J. Yoon et al. https://doi.org/10.3390/atmos17010044
- Attributing meteorological contributions to wintertime PM2.5 in China across synoptic weather patterns using machine learning Y. Zhang et al. https://doi.org/10.1016/j.atmosres.2026.109019
- Objective Classification of Convective Precipitation in Chengdu Terminal Area Using a Self-Organizing Map and Its Impacts on Terminal Area Operations H. Li et al. https://doi.org/10.3390/atmos17040421
Saved (final revised paper)
Latest update: 09 Jun 2026
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.
This study proposes a novel structural self-organizing map (S-SOM) algorithm. The superiority of...
