1. Tool for Storm Analysis Using Multiple Data Sets
Bob Rabin
NOAA / NSSL / CIMSS
Tom Whittaker
Space Science & Engineering Center / CIMSS
University of Wisconsin-Madison

2. Goals of the Project Make the results available to others
Provide a web-based portal and appropriate tools
Augment use of satellite data with other sources
Radar
RUC analysis
Lightning
Explore using THREDDS cataloging for data access and VisAD data model for manipulation

3. Research community needs
Rapid access to archived data
Simplified conversion of data formats
Tailoring the manipulation and visualization of multidimensional data to specific needs
For example: integrating and overlaying data from multiple sources in Lagrangian reference systems.
Remote access to “slices” of data

4. Methodology Expand on the ideas of radar tracking algorithms
Operate on larger storms (e.g., MCS, tropical)
Include multi-sensor data
Radars
Satellite
Lightning
Model analyses & forecasts
Build a prototype that operates on realtime and archived data
Background collection and staging of data
User interactive selection, displays, manipulation

5. Considerations in Gathering of Data
At NSSL, acquire and stage:
GOES data (McIDAS)
Radar data images (McIDAS)
Lightning data
From NCDC, acquire and stage:
RUC data (via NOMADS/THREDDS catalog)
Stage data by:
Common projection for 'background' images
VisAD Data model for co-locating RUC in space and time
Server needs to serve many clients simultaneously

6. Data Flow Radar Tracking Algorithm Lightning Web Server GOES THREDDS
RUC model analysis

7. Example session…

20. Mesoscale Convective Complex: Mature Stage

21. Time Series: Mature Stage

22. Mesoscale Convective Complex: Decaying Stage

23. Time Series: Decaying Stage

24. Tornadic Storm Track

25. Time Series: Tornadic Storm Track