Informatics, TU Vienna

Interactive Visual Exploration and Analysis of Climate Data

In this talk recent research work on how to support hypothesis generation in climate research through interactive visual exploration is presented.

Abstract

Few scientific topics catch as much attention as climate research these days. Will temperatures rise significantly in the upcoming decades? Will snow and ice covers disappear? Will draugths and severe storms threaten lifes all around the globe? Many questions like these move people, politics, and also business. To give as good as possible answers, climate researchers employ most modern measurement, simulation, and analysis methodology, resulting in challenging compilations of data of heterogeneous form and origin, usually with multiple variates, and almost always time-dependent. Accordingly, visualization is challenged and advanced approaches are needed to enable effective exploration, analysis and presentation. In this talk recent research work on how to support hypothesis generation in climate research through interactive visual exploration is presented. A discussion of associated challenges explains why visualization of data from climate research clearly has the potential to initiate interesting future research in visualization.

Biography

Helwig Hauser graduated from Vienna University of Technology, Austria, in 1995 and received the degree of Dr.techn. (PhD) from the same university (in 1998). He worked as an assistant professor at the Institute of Computer Graphics at the Vienna University of Technology from 1994 until mid-2000. Afterwards, Helwig Hauser joined the newly founded VRVis Research Center in Vienna, Austria, as a key researcher in the field of visualization. In 2003, he became the scientific director of VRVis (www.VRVis.at). Since 2007, Helwig Hauser is professor at the University of Bergen, Norway, and leading a research group on visualization there (www.ii.UiB.no/vis). His interests are diverse in visualization, including interactive visual analysis, medical visualization, and the combination of scientific and information visualization.