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Notification of Detailed Observation and Model Results Using RSS. Detailed Observations
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Notification of Detailed Observation and Model Results Using RSS Detailed Observations Many data providers with extensive data provide portals through which large quantities of data can be viewed. Even though the data is available, the effort involved in clicking through an extensive site in order to reach a specific item of interest renders the data functionally inaccessible during time-critical decision making scenarios. Providing the ability to easily bookmark ‘deep links’ directly to desired information can help make the data more usable during decision making events. OBJECTIVES 1) Demonstrate delivery of events and aggregation of events for the decision maker 2) Demonstrate fine-grain access to observation and model data as decision support events • Using RSS • RSS is a machine readable XML format for event notification. The essential elements of RSS are an item identifier, a description, and a link to more information. • RSS is in wide use for news notification, (CNN, Reuters, Yahoo, etc.,) however it is not widely used for delivery of model output or ocean observation. • Modern web browsers, such as IE7, Firefox read RSS as ‘live bookmarks’ directly, but the many specialized readers provide more capabilities, such as hierarchical listing, aggregation, or translation in to email. Surge Model & Observation Applications • Conclusions: • The RSS protocol allows for notification when an event happens, without requring the user to poll the system. • RSS can deliver notifications of extreme events as they happen, allowing real-time deep-linking to the data providers • User customized notification for specific events helps turn large datasets into useful pieces of information. • Proofs of concept for storm surge models and from the VIMS and COOPS observing systems are presented on this poster. Accessible Detailed Data for Decision Makers Decision makers need access to detailed, distilled information customized to fulfill specific needs and delivered in time to affect the outcome of the decisions they make. Large quantities of data are available from Ocean Observing Systems (OOS) and ocean modeling systems (OMS), however the data is often inaccessible during emergency events due to the large quantities of similar data and the navigation of the site. The challenges for data providers are to provide direct access to specific observational or model data, to provide a mechanism for filtering out irrelevant data or notifications, and to provide timely notification of relevant events Using “deep links” to retain customized event conditions, along with RSS (Real Simple Syndication, or Rich Site Summary) to deliver event driven notifications of exceptional events can help deliver tailored information to decision makers in time to affect the outcome of the decision. This poster shows examples of deep-linked specific information with event notification delivered through RSS. The news site and source code repository are typical examples of deep-linked detailed event notification through RSS outside of the OOS/OMS realm, while the observation and model examples are new extensions showing delivery of specific observation and forecast data. Gloucester Point, VA 2006-10-07 Grand Isle, LA 2005-09-09 This work is part of the Southeastern Universities Research Association Coastal Ocean Observing and Prediction (SCOOP) Program funded by the Office of Naval Research, Award N00014-04-1-0721 and by NOAA Ocean Service Award NA04NOS4730254 David Forrest, Harry Wang, Carl Friedrichs.drf@vims.edu, wang@vims.edu, cfried@vims.eduhttp://sura-vims-pe6600-1.vims.edu/~drf/rss_abstract.html Abstract: Decision makers need relevant information delivered in time to affect the outcome of the decision under consideration. A Really Simple Syndication (RSS) service can deliver timely, detailed decision support information to a wide variety of decision makers while demanding minimal software and attention on the part of the decision maker. An RSS feed tailored to summarize a specific set of events, such as storm surge at a particular location being forecast to exceed a certain threshold, can provide notification of the event only when the condition occurs. A distinct advantage of RSS over alternate notification methods, such as email or SMS (Short Messaging Service), include frequent testing of the communication channel during non-event conditions. Other advantages of RSS include XML encapsulation of summary data, which enables standards-based specification a wide range of references back to services providing the data, including HTTP and OGC/SOS. This work demonstrates an RSS service for delivering notification and summary information of a variety of user-configurable observational and forecast-model events.