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Storm Tracker

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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 ... – PowerPoint PPT presentation

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Title: Storm Tracker


1
Storm Tracker a Web-Based Tool for Working with
the Automated Tracking of Thunderstorm Clusters
  • Bob Rabin
  • NOAA / NSSL / CIMSS
  • Tom Whittaker
  • Space Science Engineering Center / CIMSS
  • University of Wisconsin-Madison

2
Goals of the Project
  • Make the results of on-going research at NSSL
    available to others
  • Provide a web-based portal and appropriate tools
  • Augment use of GOES 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
Proposed solution
  • 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
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21
Measuring success
  • Successful implementation of the Web-based storm
    analysis application with ability to access
    real-time or archived data sets from NCDC and
    other sites via the commodity Internet plus
    Abilene (Internet2)
  • Demonstration of the successful use of THREDDS
    and NOMADS leading to the development of future
    applications using this technology
  • Use of the system for storm research at NOAA labs
    and universities, and by the SPC and other
    forecast centers

22
Whats next?
  • Early reviews by forecasters at NSSL are
    promising
  • Need more feedback to evolve tools
  • Switch to using 20km RUC
  • Higher resolution would be better
  • Add low-level / boundary wind vector display to
    time-sections
  • Seek additional funding
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