The main user interface of Met.3D. We apply 2-D and 3-D visualization techniques to explore ensemble weather forecasts. Middle panel: isosurfaces of cloud cover fraction of 0.5 coloured by elevation (hPa), and a vertical section of potential vorticity (PVU). Upper right panel: horizontal section with contour lines of the mean geopotential height field (m) and filled contours of its standard deviation (m). Lower right panel: normal curves applied to the wind field to visualize the jet core. The white isosurface shows 45 m/s. Colour coding in m/s. Image: Marc Rautenhaus.
Visual data analysis was established as a central field of research in W2W because many of the research topics in W2W require a statistical or feature-based analysis of time-varying 3D ensemble fields. The CCA Visualization promotes an early use of newly developed visualization techniques in meteorological research and serves as a platform for interdisciplinary exchange between W2W researchers.
The following activities within the CCA are planned:
- Facilitating access to visualization tools and communication between visualization researchers and meteorologists
- Contributing to a computational infrastructure to enable interactive ensemble processing and visualization
- Organizing yearly workshops on visualization methods and research
- Coordinating common case studies, allowing the visualization researchers to test their methods in real-case scenarios and the W2W researchers to test the effectiveness of the developed tools.
For more information on the activities organized by the CCA Visualization, click here.