Title :
An Atmospheric Visual Analysis and Exploration System
Author :
Song, Y. ; Ye, John ; Svakhine, N. ; Lasher-Trapp, S. ; Baldwin, Morgan ; Ebert, D.S.
Author_Institution :
Purdue Univ., West Lafayette, IN
Abstract :
Meteorological research involves the analysis of multi-field, multi-scale, and multi-source data sets. 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 2D contour or vector plots or 3D 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 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. In this, 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
Keywords :
astronomy computing; atmospheric techniques; rendering (computer graphics); storms; weather forecasting; 2D contour; 3D atmospheric data sets; 3D isosurfaces; Doppler storm data; atmospheric visual analysis; cloud simulation; correlative visualization; drop trajectory modeling; exploration system; integrated atmospheric visual analysis; interactive weather data sets analysis; meteorological grid structures; meteorological research; multifield data set analysis; multiscale data set analysis; multisource data sets; physics-based atmospheric rendering; rendering techniques; small cumulus clouds; spatially correlated fields; storm models; three-dimensional interactive visualization; warm rain formation; weather forecasting model; weather phenomenon; Clouds; Data analysis; Data visualization; Isosurfaces; Meteorology; Performance analysis; Predictive models; Rain; Storms; Weather forecasting; glyph rendering; grid structures; transfer function; volume rendering; volume visualization; warm rain entrainment process; weather visualization;
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
DOI :
10.1109/TVCG.2006.117