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.
Fil: Ratto, Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Investigaciones Opticas (i); Argentina. Universidad Nacional de La Plata. Facultad de Ingenieria; Argentina
Fil: Berri, Guillermo Jorge. Ministerio de Defensa. Secretaria de Planeamiento. Servicio Meteorológico Nacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Maronna, Ricardo Antonio. Universidad Nacional de La Plata. Facultad de Ciencias Exactas; Argentina
Materia
La Plata River Region
Model Outputs
Multivariate Analysis
Surface Winds
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/3696
Acceder
id CONICETDig_e2eda61c14fa476656ce209d66e2c149
oai_identifier_str oai:ri.conicet.gov.ar:11336/3696
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
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 AntonioLa Plata River RegionModel OutputsMultivariate AnalysisSurface Windshttps://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Hierarchical 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.Fil: Ratto, Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Investigaciones Opticas (i); Argentina. Universidad Nacional de La Plata. Facultad de Ingenieria; ArgentinaFil: Berri, Guillermo Jorge. Ministerio de Defensa. Secretaria de Planeamiento. Servicio Meteorológico Nacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Maronna, Ricardo Antonio. Universidad Nacional de La Plata. Facultad de Ciencias Exactas; ArgentinaWiley2013-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/3696Ratto, Gustavo; Berri, Guillermo Jorge; Maronna, Ricardo Antonio; On the application of hierarchical cluster analysis for synthesizing low-level wind fields obtained with a mesoscale boundary layer model; Wiley; Meteorological Applications; 21; 3; 7-2013; 708-7161350-4827enginfo:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/met.1396/abstractinfo:eu-repo/semantics/altIdentifier/doi/DOI:10.1002/met.1396info:eu-repo/semantics/altIdentifier/issn/1350-4827info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-12-03T08:48:20Zoai:ri.conicet.gov.ar:11336/3696instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-12-03 08:48:21.299CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
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
La Plata River Region
Model Outputs
Multivariate Analysis
Surface Winds
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 La Plata River Region
Model Outputs
Multivariate Analysis
Surface Winds
topic La Plata River Region
Model Outputs
Multivariate Analysis
Surface Winds
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.5
https://purl.org/becyt/ford/1
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.
Fil: Ratto, Gustavo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico La Plata. Centro de Investigaciones Opticas (i); Argentina. Universidad Nacional de La Plata. Facultad de Ingenieria; Argentina
Fil: Berri, Guillermo Jorge. Ministerio de Defensa. Secretaria de Planeamiento. Servicio Meteorológico Nacional; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Maronna, Ricardo Antonio. Universidad Nacional de La Plata. Facultad de Ciencias Exactas; Argentina
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
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://hdl.handle.net/11336/3696
Ratto, Gustavo; Berri, Guillermo Jorge; Maronna, Ricardo Antonio; On the application of hierarchical cluster analysis for synthesizing low-level wind fields obtained with a mesoscale boundary layer model; Wiley; Meteorological Applications; 21; 3; 7-2013; 708-716
1350-4827
url http://hdl.handle.net/11336/3696
identifier_str_mv Ratto, Gustavo; Berri, Guillermo Jorge; Maronna, Ricardo Antonio; On the application of hierarchical cluster analysis for synthesizing low-level wind fields obtained with a mesoscale boundary layer model; Wiley; Meteorological Applications; 21; 3; 7-2013; 708-716
1350-4827
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/met.1396/abstract
info:eu-repo/semantics/altIdentifier/doi/DOI:10.1002/met.1396
info:eu-repo/semantics/altIdentifier/issn/1350-4827
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1850504890072170496
score 13.275514

Publicaciones similares