Generation of transfer functions with stochastic search techniques
Proceedings of the 7th conference on Visualization '96
VisAD: connecting people to computations and people to people
ACM SIGGRAPH Computer Graphics
Task-specific visualization design: a case study in operational weather forecasting
Proceedings of the conference on Visualization '98
Multi-resolution visualization techniques for nested weather models
Proceedings of the conference on Visualization '00
High-quality pre-integrated volume rendering using hardware-accelerated pixel shading
Proceedings of the ACM SIGGRAPH/EUROGRAPHICS workshop on Graphics hardware
Volume rendering multivariate data to visualize meteorological simulations: a case study
VISSYM '02 Proceedings of the symposium on Data Visualisation 2002
Multidimensional Transfer Functions for Interactive Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Visually Accurate Multi-Field Weather Visualization
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Hardware-Based Ray Casting for Tetrahedral Meshes
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
Visualization of Structured Nonuniform Grids
IEEE Computer Graphics and Applications
Visualization for the Physical Sciences
Computer Graphics Forum
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Meteorological research involves the analysis of multi-field, multi-scale, and multi-source data sets. In order to better understand these data sets, models and measurements at different resolutions must be analyzed. Unfortunately, traditional atmospheric visualization systems only provide tools to view a limited number of variables and small segments of the data. These tools are often restricted to two-dimensional contour or vector plots or three-dimensional isosurfaces. The meteorologist must mentally synthesize the data from multiple plots to glean the information needed to produce a coherent picture of the weather phenomenon of interest. In order to provide better tools to meteorologists and reduce system limitations, we have designed an integrated atmospheric visual analysis and exploration system for interactive analysis of weather data sets. Our system allows for the integrated visualization of 1D, 2D, and 3D atmospheric data sets in common meteorological grid structures and utilizes a variety of rendering techniques. These tools provide meteorologists with new abilities to analyze their data and answer questions on regions of interest, ranging from physics-based atmospheric rendering to illustrative rendering containing particles and glyphs.In this paper, we will discuss the use and performance of our visual analysis for two important meteorological applications. The first application is warm rain formation in small cumulus clouds. Here, our three-dimensional, interactive visualization of modeled drop trajectories within spatially correlated fields from a cloud simulation has provided researchers with new insight. Our second application is improving and validating severe storm models, specifically the Weather Research and Forecasting (WRF) model. This is done through correlative visualization of WRF model and experimental Doppler storm data.