Volume Rendering Multivariate Data to Visualize Meteorological Simulations: A Case Study
نویسندگان
چکیده
High resolution computational weather models are becoming increasing complex. However, the analysis of these models has not benefited from recent advancements in volume visualization. This case study applies the ideas and techniques from multi-dimensional transfer function based volume rendering to the multivariate weather simulations. The specific goal of identifying frontal zones is addressed. By combining temperature and humidity as a multivariate field, the frontal zones are more readily identified thereby assisting the meteorologists in their analysis tasks.
منابع مشابه
Visualization in the Earth Sciences: A Discussion on Various Visualization Methods using amira
It is widely acknowledged that an important aspect in Earth Science research is the ability to visualize huge amounts of data resulting from numerical simulations or data acquisition. Whether the data is a simple two-dimensional plot or a three-dimensional multivariate grid, the ability to visualize the data is imperative for researchers to properly demonstrate results. This poster will examine...
متن کاملFeature-Enhanced Visualization of Multidimensional, Multivariate Volume Data Using Non-photorealistic Rendering Techniques
This paper presents a set of feature enhancement techniques coupled with hardware-accelerated nonphotorealistic rendering for generating more perceptually effective visualization of multidimensional, multivariate volume data, such as those obtained from typical computational fluid dynamics simulations. For time-invariant data, one or more variables are used to either highlight important feature...
متن کاملTowards Automatic Feature-based Visualization
Visualizations are well suited to communicate large amounts of complex data. With increasing resolution in the spatial and temporal domain simple imaging techniques meet their limits, as it is quite difficult to display multiple variables in 3D or analyze long video sequences. Feature detection techniques reduce the data-set to the essential structures and allow for a highly abstracted represen...
متن کاملVisualizing Inner Structures in Multimodal Volume Data
With the evolution of medical image acquisition techniques, the capacity and fidelity of image-based diagnosis were extended. The current trend is to acquire information using multiple sources to help medical diagnosis, but the integration of the multivariate data into a single 3-D representation is non-trivial. Techniques for the visualization of multimodal volume data have been developed with...
متن کاملNovel Volume-Visualization Methods for the Interactive Rendering of CFD Simulation Data
Spatial grid data structures, which are the foundation for modern CFD simulations, have become more flexible allowing for efficient simulation techniques but also making the result visualization more difficult. Whereas initially only tetrahedral or block structured grids have been used nowadays simulation tools (e.g. Fluent, Star CD, etc.) use grids which decompose the simulated domain into dif...
متن کامل