Visual Analysis of Spatio-Temporal Data: Applications in Weather Forecasting

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dc.contributor.authorDiehl, Alexandraen_US
dc.contributor.authorPelorosso, Leandroen_US
dc.contributor.authorDelrieux, Claudioen_US
dc.contributor.authorSaulo, Celesteen_US
dc.contributor.authorRuiz, Juanen_US
dc.contributor.authorGröller, M. Eduarden_US
dc.contributor.authorBruckner, Stefanen_US
dc.contributor.editorH. Carr, K.-L. Ma, and G. Santuccien_US
dc.date.accessioned2015-05-22T12:51:53Z
dc.date.available2015-05-22T12:51:53Z
dc.date.issued2015en_US
dc.description.abstractWeather 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.en_US
dc.description.number3en_US
dc.description.sectionheadersEngineering and Physical Sciencesen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume34en_US
dc.identifier.doi10.1111/cgf.12650en_US
dc.identifier.pages381-390en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12650en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectViewing algorithmsen_US
dc.subjectI.3.6 [Computer Graphics]en_US
dc.subjectMethodology and Techniques Interaction techniquesen_US
dc.subjectI.3.8 [Computer Graphics]en_US
dc.subjectApplicationsen_US
dc.subjectWeather Forecast Analysisen_US
dc.titleVisual Analysis of Spatio-Temporal Data: Applications in Weather Forecastingen_US
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34-Issue 3
EuroVis15: Eurographics Conference on Visualization