Alexandra Diehl
, 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
- Publication Type: Conference Paper
- Workgroup(s)/Project(s):
- Date: May 2015
- Location: Cagliari, Sardinia, Italy
- Lecturer: Stefan Bruckner
- Booktitle: Computer Graphic Forum
- Conference date: 25. May 2015 – 29. May 2015
- Pages: 381 – 390
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 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,
location = "Cagliari, Sardinia, Italy",
booktitle = "Computer Graphic Forum",
pages = "381--390",
URL = "https://www.cg.tuwien.ac.at/research/publications/2015/Bruckner_Stefan_2015_VAS/",
}