Visual Analysis of Spatio-Temporal Data Applications in Weather Forecasting

Autores
Diehl, Alexandra; Pelorosso, L.; Delrieux, Claudio Augusto; Saulo, Andrea Celeste; Ruiz, Juan Jose; Gröller, M. E.; Bruckner, S.
Año de publicación
2015
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Weather conditions affect multiple aspects of human life such as economy, safety, security, and social activities. For this reason, weather forecast plays a major role in society. Currently weather forecasts are based on Numerical Weather Prediction (NWP) models that generate a representation of the atmospheric flow. Interactive visualization of geo-spatial data has been widely used in order to facilitate the analysis of NWP models. This paper presents a visualization system for the analysis of spatio-temporal patterns in short-term weather forecasts. For this purpose, we provide an interactive visualization interface that guides users from simple visual overviews to more advanced visualization techniques. Our solution presents multiple views that include a timeline with geo-referenced maps, an integrated webmap view, a forecast operation tool, a curve-pattern selector, spatial filters, and a linked meteogram. Two key contributions of this work are the timeline with geo-referenced maps and the curve-pattern selector. The latter provides novel functionality that allows users to specify and search for meaningful patterns in the data. The visual interface of our solution allows users to detect both possible weather trends and errors in the weather forecast model. We illustrate the usage of our solution with a series of case studies that were designed and validated in collaboration with domain experts.
Fil: Diehl, Alexandra. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
Fil: Pelorosso, L.. Universidad de Buenos Aires; Argentina
Fil: Delrieux, Claudio Augusto. Universidad Nacional del Sur; Argentina
Fil: Saulo, Andrea Celeste. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina
Fil: Ruiz, Juan Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina
Fil: Gröller, M. E.. Vienna University of Technology; Austria
Fil: Bruckner, S.. University Of Bergen; Noruega
Materia
Picture/Image Generation
Viewing Algorithms
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/4473
Acceder
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spelling Visual Analysis of Spatio-Temporal Data Applications in Weather ForecastingDiehl, AlexandraPelorosso, L.Delrieux, Claudio AugustoSaulo, Andrea CelesteRuiz, Juan JoseGröller, M. E.Bruckner, S.Picture/Image GenerationViewing Algorithmshttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1Weather conditions affect multiple aspects of human life such as economy, safety, security, and social activities. For this reason, weather forecast plays a major role in society. Currently weather forecasts are based on Numerical Weather Prediction (NWP) models that generate a representation of the atmospheric flow. Interactive visualization of geo-spatial data has been widely used in order to facilitate the analysis of NWP models. This paper presents a visualization system for the analysis of spatio-temporal patterns in short-term weather forecasts. For this purpose, we provide an interactive visualization interface that guides users from simple visual overviews to more advanced visualization techniques. Our solution presents multiple views that include a timeline with geo-referenced maps, an integrated webmap view, a forecast operation tool, a curve-pattern selector, spatial filters, and a linked meteogram. Two key contributions of this work are the timeline with geo-referenced maps and the curve-pattern selector. The latter provides novel functionality that allows users to specify and search for meaningful patterns in the data. The visual interface of our solution allows users to detect both possible weather trends and errors in the weather forecast model. We illustrate the usage of our solution with a series of case studies that were designed and validated in collaboration with domain experts.Fil: Diehl, Alexandra. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; ArgentinaFil: Pelorosso, L.. Universidad de Buenos Aires; ArgentinaFil: Delrieux, Claudio Augusto. Universidad Nacional del Sur; ArgentinaFil: Saulo, Andrea Celeste. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; ArgentinaFil: Ruiz, Juan Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; ArgentinaFil: Gröller, M. E.. Vienna University of Technology; AustriaFil: Bruckner, S.. University Of Bergen; NoruegaWiley2015-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/4473Diehl, Alexandra; Pelorosso, L.; Delrieux, Claudio Augusto; Saulo, Andrea Celeste; Ruiz, Juan Jose; et al.; Visual Analysis of Spatio-Temporal Data Applications in Weather Forecasting; Wiley; Computer Graphics Forum; 34; 3; 5-2015; 1-100167-7055enginfo:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1111/cgf.12650/fullinfo:eu-repo/semantics/altIdentifier/doi/DOI:10.1111/cgf.12650info:eu-repo/semantics/altIdentifier/issn/0167-7055info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:02:35Zoai:ri.conicet.gov.ar:11336/4473instacron: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:34982025-09-03 10:02:36.009CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Visual Analysis of Spatio-Temporal Data Applications in Weather Forecasting
title Visual Analysis of Spatio-Temporal Data Applications in Weather Forecasting
spellingShingle Visual Analysis of Spatio-Temporal Data Applications in Weather Forecasting
Diehl, Alexandra
Picture/Image Generation
Viewing Algorithms
title_short Visual Analysis of Spatio-Temporal Data Applications in Weather Forecasting
title_full Visual Analysis of Spatio-Temporal Data Applications in Weather Forecasting
title_fullStr Visual Analysis of Spatio-Temporal Data Applications in Weather Forecasting
title_full_unstemmed Visual Analysis of Spatio-Temporal Data Applications in Weather Forecasting
title_sort Visual Analysis of Spatio-Temporal Data Applications in Weather Forecasting
dc.creator.none.fl_str_mv Diehl, Alexandra
Pelorosso, L.
Delrieux, Claudio Augusto
Saulo, Andrea Celeste
Ruiz, Juan Jose
Gröller, M. E.
Bruckner, S.
author Diehl, Alexandra
author_facet Diehl, Alexandra
Pelorosso, L.
Delrieux, Claudio Augusto
Saulo, Andrea Celeste
Ruiz, Juan Jose
Gröller, M. E.
Bruckner, S.
author_role author
author2 Pelorosso, L.
Delrieux, Claudio Augusto
Saulo, Andrea Celeste
Ruiz, Juan Jose
Gröller, M. E.
Bruckner, S.
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv Picture/Image Generation
Viewing Algorithms
topic Picture/Image Generation
Viewing Algorithms
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Weather conditions affect multiple aspects of human life such as economy, safety, security, and social activities. For this reason, weather forecast plays a major role in society. Currently weather forecasts are based on Numerical Weather Prediction (NWP) models that generate a representation of the atmospheric flow. Interactive visualization of geo-spatial data has been widely used in order to facilitate the analysis of NWP models. This paper presents a visualization system for the analysis of spatio-temporal patterns in short-term weather forecasts. For this purpose, we provide an interactive visualization interface that guides users from simple visual overviews to more advanced visualization techniques. Our solution presents multiple views that include a timeline with geo-referenced maps, an integrated webmap view, a forecast operation tool, a curve-pattern selector, spatial filters, and a linked meteogram. Two key contributions of this work are the timeline with geo-referenced maps and the curve-pattern selector. The latter provides novel functionality that allows users to specify and search for meaningful patterns in the data. The visual interface of our solution allows users to detect both possible weather trends and errors in the weather forecast model. We illustrate the usage of our solution with a series of case studies that were designed and validated in collaboration with domain experts.
Fil: Diehl, Alexandra. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
Fil: Pelorosso, L.. Universidad de Buenos Aires; Argentina
Fil: Delrieux, Claudio Augusto. Universidad Nacional del Sur; Argentina
Fil: Saulo, Andrea Celeste. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina
Fil: Ruiz, Juan Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinacion Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera; Argentina
Fil: Gröller, M. E.. Vienna University of Technology; Austria
Fil: Bruckner, S.. University Of Bergen; Noruega
description Weather conditions affect multiple aspects of human life such as economy, safety, security, and social activities. For this reason, weather forecast plays a major role in society. Currently weather forecasts are based on Numerical Weather Prediction (NWP) models that generate a representation of the atmospheric flow. Interactive visualization of geo-spatial data has been widely used in order to facilitate the analysis of NWP models. This paper presents a visualization system for the analysis of spatio-temporal patterns in short-term weather forecasts. For this purpose, we provide an interactive visualization interface that guides users from simple visual overviews to more advanced visualization techniques. Our solution presents multiple views that include a timeline with geo-referenced maps, an integrated webmap view, a forecast operation tool, a curve-pattern selector, spatial filters, and a linked meteogram. Two key contributions of this work are the timeline with geo-referenced maps and the curve-pattern selector. The latter provides novel functionality that allows users to specify and search for meaningful patterns in the data. The visual interface of our solution allows users to detect both possible weather trends and errors in the weather forecast model. We illustrate the usage of our solution with a series of case studies that were designed and validated in collaboration with domain experts.
publishDate 2015
dc.date.none.fl_str_mv 2015-05
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/11336/4473
Diehl, Alexandra; Pelorosso, L.; Delrieux, Claudio Augusto; Saulo, Andrea Celeste; Ruiz, Juan Jose; et al.; Visual Analysis of Spatio-Temporal Data Applications in Weather Forecasting; Wiley; Computer Graphics Forum; 34; 3; 5-2015; 1-10
0167-7055
url http://hdl.handle.net/11336/4473
identifier_str_mv Diehl, Alexandra; Pelorosso, L.; Delrieux, Claudio Augusto; Saulo, Andrea Celeste; Ruiz, Juan Jose; et al.; Visual Analysis of Spatio-Temporal Data Applications in Weather Forecasting; Wiley; Computer Graphics Forum; 34; 3; 5-2015; 1-10
0167-7055
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/10.1111/cgf.12650/full
info:eu-repo/semantics/altIdentifier/doi/DOI:10.1111/cgf.12650
info:eu-repo/semantics/altIdentifier/issn/0167-7055
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv 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
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score 13.13397

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