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An Atmospheric Visual Analysis and Exploration System
September-October 2006 (vol. 12 no. 5)
pp. 1157-1164
ASCII Text
x 
 
Yuyan Song, Jing Ye, Nikolai Svakhine, Sonia Lasher-Trapp, Mike Baldwin, David Ebert, "An Atmospheric Visual Analysis and Exploration System," IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 5, pp. 1157-1164, September-October, 2006.
 
 
BibTex
x
 
@article{ 10.1109/TVCG.2006.117,
author = {Yuyan Song and Jing Ye and Nikolai Svakhine and Sonia Lasher-Trapp and Mike Baldwin and David Ebert},
title = {An Atmospheric Visual Analysis and Exploration System},
journal ={IEEE Transactions on Visualization and Computer Graphics},
volume = {12},
number = {5},
issn = {1077-2626},
year = {2006},
pages = {1157-1164},
doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2006.117},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Visualization and Computer Graphics
TI - An Atmospheric Visual Analysis and Exploration System
IS - 5
SN - 1077-2626
SP1157
EP1164
EPD - 1157-1164
A1 - Yuyan Song,
A1 - Jing Ye,
A1 - Nikolai Svakhine,
A1 - Sonia Lasher-Trapp,
A1 - Mike Baldwin,
A1 - David Ebert,
PY - 2006
KW - weather visualization
KW - grid structures
KW - transfer function
KW - volume rendering
KW - volume visualization
KW - glyph rendering
KW - warm rain entrainment process
VL - 12
JA - IEEE Transactions on Visualization and Computer Graphics
ER -
 
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.

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Index Terms:
weather visualization, grid structures, transfer function, volume rendering, volume visualization, glyph rendering, warm rain entrainment process
Citation:
Yuyan Song, Jing Ye, Nikolai Svakhine, Sonia Lasher-Trapp, Mike Baldwin, David Ebert, "An Atmospheric Visual Analysis and Exploration System," IEEE Transactions on Visualization and Computer Graphics, vol. 12, no. 5, pp. 1157-1164, Sept.-Oct. 2006, doi:10.1109/TVCG.2006.117
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