| ||||||||
| ||||||||
|
Visualization of three-dimensional cloud structure from meteorological satellite imagery.
The aim of this study is to visualize clouds in three dimension and
obtain perspective views of satellite images. The advantage of this
presentation of images is to reveal the structure of clouds more
clearly with fluctuating shading of the cloud surface, and moreover,
the time-series presentation of those images gives intuitive
understanding on the dynamics of cloud generation.
Background behind this visualization is the fact that an infrared
image measures the temperature of the surface, which approximately
corresponds to cloud-top temperature. Hence it gives a good estimate
on cloud-top height with the help of the vertical profile of the
atmosphere. Satellite images can then be converted into
three-dimensional volume data, and can be visualized in perspective
views by means of volume rendering.
The satellite images used in this project is NOAA and GMS (Himawari).
Fractal is an important idea for the visualization of natural objects and scenes, such as clouds and terrains. If we can generate cloud images using algorithms associated with fractal, "analysis by synthesis" approach can be applied to the analysis of remote sensing cloud images. The background of this page is generated by Fractional Browninan Motion (FBM), one of the fractal models associated with clouds.
A searchable directory of images, visualization, and animations of the Earth.
http://visibleearth.nasa.gov/
The visualization section of National Center for Atmospheric Research (NCAR). Includes the visualization of atmospheric simulations.
http://www.vets.ucar.edu/
|