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


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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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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

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


Research community needs

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


  • Proposed solution

    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


    Considerations in gathering of data

    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


    Data flow

    Data Flow

    Radar

    Tracking

    Algorithm

    Lightning

    Web Server

    GOES

    THREDDS

    RUC model analysis


    Example session

    Example session…


    Measuring success

    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


    What s next

    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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