Fakultät Informatik

Interactive 3D Visual Analysis of Atmospheric Fronts

 Michael Kern, Tim Hewson*, Andreas Schäfler**, Rüdiger Westermann and  Marc Rautenhaus

Department of Informatics, Technische Universität München, Germany

*European Centre for Medium-Range Weather Forecasts, Reading, UK

**Deutsches Zentrum für Luft- und Raumfahrt (DLR), Oberpfaffenhofen, Germany


Atmospheric fronts play a central role in meteorology, as the boundaries between different air masses and as fundamental features of extra-tropical cyclones. They appear in numerous conceptual model depictions of extra-tropical weather systems. Conceptually, fronts are three-dimensional surfaces in space possessing an innate structural complexity, yet in meteorology, both manual and objective identification and depiction have historically focused on the structure in two dimensions. In this work, we –a team of visualization scientists and meteorologists– propose a novel visualization approach to analyze the three-dimensional structure of atmospheric fronts and related physical and dynamical processes. We build upon existing approaches to objectively identify fronts as lines in two dimensions and extend these to obtain frontal surfaces in three dimensions, using the magnitude of temperature change along the gradient of a moist potential temperature field as the primary identifying factor. We introduce the use of normal curves in the temperature gradient field to visualize a frontal zone (i.e., the transitional zone between the air masses) and the distribution of atmospheric variables in such zones. To enable for the first time a statistical analysis of frontal zones, we present a new approach to obtain the volume enclosed by a zone, by classifying grid boxes that intersect with normal curves emanating from a selected front. We introduce our method by means of an idealized numerical simulation and demonstrate its use with two real-world cases using numerical weather prediction data.

Associated Publications

Interactive 3D Visual Analysis of Atmospheric Fronts
F. Kern, T. Hewson, A. Schäfler, R. Westermann and M. Rautenhaus to appear in IEEE Transactions on Visualization and Computer Graphics 2019 (Proc. IEEE SciVis 2018) [PDF] [BIBTEX]



Bachelor and Master thesis in the following areas:
- A remote rendering system for point cloud data (in collaboration with industry)

- Deep learning for improved weather forecasting

- Learning trajectory clustering using neural network
- Learning Level-of-Detail representations for point clouds

- In collaboration with partners from industry, we have a number of thesis topics available in the area of point-based rendering, geo-localization using public data, scene fusion from different viewpoints. If you are interested, please contact  westermann(at)tum.de


- One PhD position on   Turbulence Visualization is available at the Computer Graphics & Visualization group.