Tuesday, 13 January 2009: 12:00 AM
Leveraging LEAD, TDR and RAMADDA to create meteorological case studies containing diverse data and documents
Room 122BC (Phoenix Convention Center)
Tom Baltzer, UCAR, Boulder, CO; and J. McWhirter, Y. Sun, J. Weber, and M. Ramamurthy
The Linked Environments for Atmospheric Computing (LEAD) project has created a portal (http://leadproject.org), which enables students and scientists to generate relatively fine scale regional forecasts using the WRF-ARW. One of the recently-added capabilities of the system is the ability to vary physical parameterization schemes and other settings. In parallel of the LEAD efforts, the Unidata Program Center has been developing technologies intended to facilitate the creation and publication of case study datasets that integrate data with related educational and ancillary materials. The THREDDS Data Repository (TDR) is a prototype technology that has been described at prior AMS Meetings intended to facilitate long term storage of and access to meteorological data. More recently, the Repository for Archiving, Managing and Accessing Diverse DAta (RAMADDA) is being developed to extend the concept of the TDR.
RAMADDA takes the ideas and some of the backing technologies of TDR and extends them to more types of files, to include images, documents, IDV bundles, etc. It also attempts to identify the type of file being uploaded into the repository and find a capability for displaying it to the end user. Further, it uses a database back-end to facilitate quick searches for data of interest. In this way, complete case studies can be archived, managed, searched and viewed through one web-based interface.
In this presentation, we will discuss Unidata's efforts to leverage these three technologies for the benefit of both LEAD users and Unidata Community members, providing them with the ability to develop, publish, and archive case studies based on their WRF forecast experiments. In addition to presenting the design concepts and features of this effort, we will demonstrate a prototype system that is being developed to meet the stated needs.
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