On the application of hierarchical cluster analysis for synthesizing low-level wind fields obtained with a mesoscale boundary layer model
- Autores
- Ratto, Gustavo; Berri, Guillermo Jorge; Maronna, Ricardo Antonio
- Año de publicación
- 2013
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Hierarchical clustering is applied to a boundary layer model output that describes the low-level wind field over the La Plata River region of South America. The model output consists of 180 17-dimensional vectors per season that include wind direction frequencies, calms and mean wind speeds per wind sector. The cluster approach is intended to assist the discussion of meteorological phenomena, and is also employed to define regionality. Results show that the 180 original vectors can be well represented by a small number of vectors, and the 18, 12 and 6 group cluster solutions share a similar layout. However, the 12 and the 6 group clusters seem both appropriate solutions when a threshold of 10% in wind direction frequency, including calms, is taken as a reference in order to decide significant differences between groups. All solutions show more groups along the northeastern than along the southwestern river shore, evidencing a complex sea-land breeze circulation pattern. The analysis of the observations at nine weather stations supports the findings of the cluster analysis conducted with the model outputs. The advantage of the hierarchical cluster analysis in synthesizing information becomes clearly evident when compared to the traditional method of visual inspection. Besides, the actual distribution of weather stations in the region is not very far from the regionality that suggests the obtained cluster distribution. However, in order to match the latter, more observing points would be needed particularly over the river and towards the northeastern shore.
Centro de Investigaciones Ópticas
Facultad de Ciencias Exactas
Facultad de Ingeniería - Materia
-
Ciencias Astronómicas
Física
La Plata River region
Model outputs
Multivariate analysis
Surface winds
Weather station siting - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/101615
Ver los metadatos del registro completo
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On the application of hierarchical cluster analysis for synthesizing low-level wind fields obtained with a mesoscale boundary layer modelRatto, GustavoBerri, Guillermo JorgeMaronna, Ricardo AntonioCiencias AstronómicasFísicaLa Plata River regionModel outputsMultivariate analysisSurface windsWeather station sitingHierarchical clustering is applied to a boundary layer model output that describes the low-level wind field over the La Plata River region of South America. The model output consists of 180 17-dimensional vectors per season that include wind direction frequencies, calms and mean wind speeds per wind sector. The cluster approach is intended to assist the discussion of meteorological phenomena, and is also employed to define regionality. Results show that the 180 original vectors can be well represented by a small number of vectors, and the 18, 12 and 6 group cluster solutions share a similar layout. However, the 12 and the 6 group clusters seem both appropriate solutions when a threshold of 10% in wind direction frequency, including calms, is taken as a reference in order to decide significant differences between groups. All solutions show more groups along the northeastern than along the southwestern river shore, evidencing a complex sea-land breeze circulation pattern. The analysis of the observations at nine weather stations supports the findings of the cluster analysis conducted with the model outputs. The advantage of the hierarchical cluster analysis in synthesizing information becomes clearly evident when compared to the traditional method of visual inspection. Besides, the actual distribution of weather stations in the region is not very far from the regionality that suggests the obtained cluster distribution. However, in order to match the latter, more observing points would be needed particularly over the river and towards the northeastern shore.Centro de Investigaciones ÓpticasFacultad de Ciencias ExactasFacultad de Ingeniería2013-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdf708-716http://sedici.unlp.edu.ar/handle/10915/101615enginfo:eu-repo/semantics/altIdentifier/url/https://ri.conicet.gov.ar/11336/3696info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/met.1396/abstractinfo:eu-repo/semantics/altIdentifier/issn/1350-4827info:eu-repo/semantics/altIdentifier/hdl/11336/3696info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-12-03T10:40:43Zoai:sedici.unlp.edu.ar:10915/101615Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-12-03 10:40:44.242SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
On the application of hierarchical cluster analysis for synthesizing low-level wind fields obtained with a mesoscale boundary layer model |
| title |
On the application of hierarchical cluster analysis for synthesizing low-level wind fields obtained with a mesoscale boundary layer model |
| spellingShingle |
On the application of hierarchical cluster analysis for synthesizing low-level wind fields obtained with a mesoscale boundary layer model Ratto, Gustavo Ciencias Astronómicas Física La Plata River region Model outputs Multivariate analysis Surface winds Weather station siting |
| title_short |
On the application of hierarchical cluster analysis for synthesizing low-level wind fields obtained with a mesoscale boundary layer model |
| title_full |
On the application of hierarchical cluster analysis for synthesizing low-level wind fields obtained with a mesoscale boundary layer model |
| title_fullStr |
On the application of hierarchical cluster analysis for synthesizing low-level wind fields obtained with a mesoscale boundary layer model |
| title_full_unstemmed |
On the application of hierarchical cluster analysis for synthesizing low-level wind fields obtained with a mesoscale boundary layer model |
| title_sort |
On the application of hierarchical cluster analysis for synthesizing low-level wind fields obtained with a mesoscale boundary layer model |
| dc.creator.none.fl_str_mv |
Ratto, Gustavo Berri, Guillermo Jorge Maronna, Ricardo Antonio |
| author |
Ratto, Gustavo |
| author_facet |
Ratto, Gustavo Berri, Guillermo Jorge Maronna, Ricardo Antonio |
| author_role |
author |
| author2 |
Berri, Guillermo Jorge Maronna, Ricardo Antonio |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Ciencias Astronómicas Física La Plata River region Model outputs Multivariate analysis Surface winds Weather station siting |
| topic |
Ciencias Astronómicas Física La Plata River region Model outputs Multivariate analysis Surface winds Weather station siting |
| dc.description.none.fl_txt_mv |
Hierarchical clustering is applied to a boundary layer model output that describes the low-level wind field over the La Plata River region of South America. The model output consists of 180 17-dimensional vectors per season that include wind direction frequencies, calms and mean wind speeds per wind sector. The cluster approach is intended to assist the discussion of meteorological phenomena, and is also employed to define regionality. Results show that the 180 original vectors can be well represented by a small number of vectors, and the 18, 12 and 6 group cluster solutions share a similar layout. However, the 12 and the 6 group clusters seem both appropriate solutions when a threshold of 10% in wind direction frequency, including calms, is taken as a reference in order to decide significant differences between groups. All solutions show more groups along the northeastern than along the southwestern river shore, evidencing a complex sea-land breeze circulation pattern. The analysis of the observations at nine weather stations supports the findings of the cluster analysis conducted with the model outputs. The advantage of the hierarchical cluster analysis in synthesizing information becomes clearly evident when compared to the traditional method of visual inspection. Besides, the actual distribution of weather stations in the region is not very far from the regionality that suggests the obtained cluster distribution. However, in order to match the latter, more observing points would be needed particularly over the river and towards the northeastern shore. Centro de Investigaciones Ópticas Facultad de Ciencias Exactas Facultad de Ingeniería |
| description |
Hierarchical clustering is applied to a boundary layer model output that describes the low-level wind field over the La Plata River region of South America. The model output consists of 180 17-dimensional vectors per season that include wind direction frequencies, calms and mean wind speeds per wind sector. The cluster approach is intended to assist the discussion of meteorological phenomena, and is also employed to define regionality. Results show that the 180 original vectors can be well represented by a small number of vectors, and the 18, 12 and 6 group cluster solutions share a similar layout. However, the 12 and the 6 group clusters seem both appropriate solutions when a threshold of 10% in wind direction frequency, including calms, is taken as a reference in order to decide significant differences between groups. All solutions show more groups along the northeastern than along the southwestern river shore, evidencing a complex sea-land breeze circulation pattern. The analysis of the observations at nine weather stations supports the findings of the cluster analysis conducted with the model outputs. The advantage of the hierarchical cluster analysis in synthesizing information becomes clearly evident when compared to the traditional method of visual inspection. Besides, the actual distribution of weather stations in the region is not very far from the regionality that suggests the obtained cluster distribution. However, in order to match the latter, more observing points would be needed particularly over the river and towards the northeastern shore. |
| publishDate |
2013 |
| dc.date.none.fl_str_mv |
2013-07 |
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info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Articulo http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
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article |
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http://sedici.unlp.edu.ar/handle/10915/101615 |
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eng |
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eng |
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