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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. Storm Tracker – a Web-Based Tool for Working with the Automated Tracking of Thunderstorm Clusters. Goals of the Project.

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Storm Tracker – a Web-Based Tool for Working with the Automated Tracking of Thunderstorm Clusters

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

  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…

  8. 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

  9. What’s 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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