Hornero: Thunderstorms Characterization using Visual Analytics

dc.creatorDiehl, Alexandra
dc.creatorPelorosso, Rodrigo
dc.creatorRuiz, Juan Jose
dc.creatorPajarola, Renato
dc.creatorGröller, M. Eduard
dc.creatorBruckner, Stefan
dc.date2021-06
dc.date.accessioned2023-08-31T00:30:00Z
dc.date.available2023-08-31T00:30:00Z
dc.identifierhttp://hdl.handle.net/11336/181255
dc.identifierDiehl, Alexandra; Pelorosso, Rodrigo; Ruiz, Juan Jose; Pajarola, Renato; Gröller, M. Eduard; et al.; Hornero: Thunderstorms Characterization using Visual Analytics; Wiley Blackwell Publishing, Inc; Computer Graphics Forum; 40; 3; 6-2021; 299-310
dc.identifier0167-7055
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8543493
dc.descriptionAnalyzing the evolution of thunderstorms is critical in determining the potential for the development of severe weather events. Existing visualization systems for short-term weather forecasting (nowcasting) allow for basic analysis and prediction of storm developments. However, they lack advanced visual features for efficient decision-making. We developed a visual analytics tool for the detection of hazardous thunderstorms and their characterization, using a visual design centered on a reformulated expert task workflow that includes visual features to overview storms and quickly identify high-impact weather events, a novel storm graph visualization to inspect and analyze the storm structure, as well as a set of interactive views for efficient identification of similar storm cells (known as analogs) in historical data and their use for nowcasting. Our tool was designed with and evaluated by meteorologists and expert forecasters working in short-term operational weather forecasting of severe weather events. Results show that our solution suits the forecasters' workflow. Our visual design is expressive, easy to use, and effective for prompt analysis and quick decision-making in the context of short-range operational weather forecasting.
dc.descriptionFil: Diehl, Alexandra. Universitat Zurich; Suiza. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.descriptionFil: Pelorosso, Rodrigo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Computación; Argentina
dc.descriptionFil: Ruiz, Juan Jose. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Centro de Investigaciones del Mar y la Atmósfera. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Centro de Investigaciones del Mar y la Atmósfera; Argentina
dc.descriptionFil: Pajarola, Renato. Universitat Zurich; Suiza
dc.descriptionFil: Gröller, M. Eduard. Vienna University of Technology; Austria
dc.descriptionFil: Bruckner, Stefan. University of Bergen; Noruega
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.formatapplication/pdf
dc.languageeng
dc.publisherWiley Blackwell Publishing, Inc
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://onlinelibrary.wiley.com/doi/10.1111/cgf.14308
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/10.1111/cgf.14308
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subjectCCS CONCEPTS
dc.subjectVISUALIZATION APPLICATION DOMAINS
dc.subject• HUMAN-CENTERED COMPUTING → VISUAL ANALYTICS
dc.subjecthttps://purl.org/becyt/ford/1.2
dc.subjecthttps://purl.org/becyt/ford/1
dc.titleHornero: Thunderstorms Characterization using Visual Analytics
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


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