S-SOM v1.0: a structural self-organizing map algorithm for weather typing
This study proposes a novel structural self-organizing map (S-SOM) algorithm for synoptic weather typing. A novel feature of the S-SOM compared with traditional SOMs is its ability to deal with input data with spatial or temporal structures. In detail, the search scheme for the best matching unit (B...
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          | Published in | Geoscientific Model Development Vol. 14; no. 4; pp. 2097 - 2111 | 
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| Main Authors | , , , | 
| Format | Journal Article | 
| Language | English | 
| Published | 
        Katlenburg-Lindau
          Copernicus GmbH
    
        22.04.2021
     Copernicus Publications  | 
| Subjects | |
| Online Access | Get full text | 
| ISSN | 1991-9603 1991-959X 1991-962X 1991-9603 1991-962X  | 
| DOI | 10.5194/gmd-14-2097-2021 | 
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| Summary: | This study proposes a novel structural self-organizing
map (S-SOM) algorithm for synoptic weather typing. A novel feature of the
S-SOM compared with traditional SOMs is its ability to deal with input data
with spatial or temporal structures. In detail, the search scheme for the
best matching unit (BMU) in a S-SOM is built based on a structural
similarity (S-SIM) index rather than by using the traditional Euclidean
distance (ED). S-SIM enables the BMU search to consider the correlation in
space between weather states, such as the locations of highs or lows, that is impossible when using ED. The S-SOM performance is evaluated by multiple
demo simulations of clustering weather patterns over Japan using the
ERA-Interim sea-level pressure data. The results show the S-SOM's
superiority compared with a standard SOM with ED (or ED-SOM) in two
respects: clustering quality based on silhouette analysis and topological
preservation based on topological error. Better performance of S-SOM versus
ED is consistent with results from different tests and node-size
configurations. S-SOM performs better than a SOM using the Pearson
correlation coefficient (or COR-SOM), though the difference is not as clear as it is compared to ED-SOM. | 
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14  | 
| ISSN: | 1991-9603 1991-959X 1991-962X 1991-9603 1991-962X  | 
| DOI: | 10.5194/gmd-14-2097-2021 |