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

Alexandra Diehl, Meister Eduard Gröller, Stefan Bruckner
Visual Analysis of Spatio-Temporal Data: Applications in Weather Forecasting
In Computer Graphic Forum, pages 381-390. May 2015.
[Paper]

Information

Abstract

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.

Additional Files and Images

Weblinks

No further information available.

BibTeX

@inproceedings{Bruckner_Stefan_2015_VAS,
  title =      "Visual Analysis of Spatio-Temporal Data: Applications in
               Weather Forecasting",
  author =     "Alexandra Diehl and Meister Eduard Gr{"o}ller and Stefan
               Bruckner",
  year =       "2015",
  abstract =   "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.",
  month =      may,
  booktitle =  "Computer Graphic Forum",
  location =   "Cagliari, Sardinia, Italy",
  pages =      "381--390",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2015/Bruckner_Stefan_2015_VAS/",
}