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
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/101615

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network_name_str SEDICI (UNLP)
spelling 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
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Articulo
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/101615
url http://sedici.unlp.edu.ar/handle/10915/101615
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://ri.conicet.gov.ar/11336/3696
info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/met.1396/abstract
info:eu-repo/semantics/altIdentifier/issn/1350-4827
info:eu-repo/semantics/altIdentifier/hdl/11336/3696
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
708-716
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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