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Basic foilset Overview of CIV Weather Application

Given by Scott Klasky at Rome Lab Quarterly Review for CIV on June 28 96. Foils prepared 23 February 97
Outside Index Summary of Material

Current Status: Weather Application
Integration of APRS data into VRML (Current and future)
Integration into the Terrain Data
Demo Information

Table of Contents for full HTML of Overview of CIV Weather Application

Denote Foils where Image Critical
Denote Foils where HTML is sufficient
1 Weather Application
2 Current Status: Weather Application
3 Integration of APRS data into VRML (Current)
4 Integration of APRS data into VRML (Future)
5 Integration into the Terrain Data
6 Demo Information

Outside Index Summary of Material

HTML version of Basic Foils prepared 23 February 97

Foil 1 Weather Application

From Overview of CIV Weather Application Rome Lab Quarterly Review for CIV -- June 28 96. *
Full HTML Index
Center for Analysis and Prediction of Storms using ARPS Data Analysis System
Scott A. Klasky
HTML version of Basic Foils prepared 23 February 97

Foil 2 Current Status: Weather Application

From Overview of CIV Weather Application Rome Lab Quarterly Review for CIV -- June 28 96. *
Full HTML Index
We have a good working relationship with the Oklahoma group, including an excellent relationship with their visualization expert: Gene Bassett.
The CAPS assistant director, David Jahn, will develop the code so that it will be able to predict lake effect snow accurately.
We will continue to work on VRML integration of weather data.
We have successfully integrated weather data with the terrain data.
HTML version of Basic Foils prepared 23 February 97

Foil 3 Integration of APRS data into VRML (Current)

From Overview of CIV Weather Application Rome Lab Quarterly Review for CIV -- June 28 96. *
Full HTML Index
Data is written out in binary format in real time simulations, with separate files for each fundamental variable.
Data is filtered/manipulated in AVS networks.
To display clouds, we take an isosurface of this filtered data.
To display a 2D surface of the precipitation levels, we take the ground level slice of the 3D filtered data (different data than the cloud data).
We perform these manipulations for every "m" time iterations of the ARPS code. Currently we use just one data set from the end of the prediction.
HTML version of Basic Foils prepared 23 February 97

Foil 4 Integration of APRS data into VRML (Future)

From Overview of CIV Weather Application Rome Lab Quarterly Review for CIV -- June 28 96. *
Full HTML Index
We will work on time evaluations.
We are working on Java applets which will take the raw data and convert it directly into VRML data.
We are developing a process to integrate multiple time slice together to form a VRML movie.
HTML version of Basic Foils prepared 23 February 97

Foil 5 Integration into the Terrain Data

From Overview of CIV Weather Application Rome Lab Quarterly Review for CIV -- June 28 96. *
Full HTML Index
By calculating the correct transformation and rotation matrices, we can accurately overlay the weather 2D surface data onto the Terrain Data.
We use the 2D surface as a texture map onto the terrain data. The user will then have the capability to turn on and off the prediction data.
Clouds are made transparent, and are overlaid with the terrain data.
Terrain data
weather
HTML version of Basic Foils prepared 23 February 97

Foil 6 Demo Information

From Overview of CIV Weather Application Rome Lab Quarterly Review for CIV -- June 28 96. *
Full HTML Index
The data is from a April 29, 1995 storm in Dallas, TX.
The 2D texture map is showing rain water at the surface. The red areas means that there was a severe storm, and the blue areas indicate mild/no precipitation.
Image of real weather data with APRS prediction overlay in blue
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