Visual Trend Analysis in Weather Forecast

Information

• Publication Type: Poster
• Workgroup(s)/Project(s):
  • Other
• Date: October 2013
• Location: Atlanta, Georgia, USA
• Event: IEEE VIS 2013 Conference
• Conference date: 13. October 2013 – 18. October 2013
• Keywords: Interactive Visual Analysis, Comparative Visualization, Weather Forecast Research

Abstract

Weather conditions affect multiple aspects of human life such as economy, safety, security, and social activities. Weather forecast significantly influences decision and policy making, construction planning, productivity, and environmental risk management. Visualization of weather conditions and trends assists the anticipation of unexpected meteorological events and thus helps with appropriate actions and mitigation systems to minimize the impact of them on human life and activities. In this work, we propose an interactive approach for visual analysis of weather trends and forecast errors in short-term weather forecast simulations. Our solution consists of a multi-aspect system that provides different methods to visualize and analyze multiple runs, time-dependent data, and forecast errors. A key contribution of this work is the comparative visualization technique that allows users to analyze possible weather trends and patterns. We illustrate the usage of our approach with a case study designed and validated in conjunction with domain experts.

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BibTeX

@misc{diehl-2013-VTA,
  title =      "Visual Trend Analysis in Weather Forecast",
  author =     "Alexandra Diehl and Stefan Bruckner and Eduard Gr\"{o}ller
               and Claudio Delrieux and Celeste Saulo",
  year =       "2013",
  abstract =   "Weather conditions affect multiple aspects of human life
               such as economy, safety, security, and social activities.
               Weather forecast significantly influences decision and
               policy making, construction planning, productivity, and
               environmental risk management. Visualization of weather
               conditions and trends assists the anticipation of unexpected
               meteorological events and thus helps with appropriate
               actions and mitigation systems to minimize the impact of
               them on human life and activities. In this work, we propose
               an interactive approach for visual analysis of weather
               trends and forecast errors in short-term weather forecast
               simulations. Our solution consists of a multi-aspect system
               that provides different methods to visualize and analyze
               multiple runs, time-dependent data, and forecast errors. A
               key contribution of this work is the comparative
               visualization technique that allows users to analyze
               possible weather trends and patterns. We illustrate the
               usage of our approach with a case study designed and
               validated in conjunction with domain experts.",
  month =      oct,
  location =   "Atlanta, Georgia, USA",
  event =      "IEEE VIS 2013 Conference",
  Conference date = "Poster presented at IEEE VIS 2013 Conference
               (2013-10-13--2013-10-18)",
  keywords =   "Interactive Visual Analysis, Comparative Visualization,
               Weather Forecast Research",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2013/diehl-2013-VTA/",
}