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Enhancements in AWIPS Continuous Technology: Risk Reduction Demo Overview

Join us as we explore the latest advancements in AWIPS Continuous Technology, showcased in the Risk Reduction Demo held on September 4, 2008. This demo highlights innovative grid-derived parameter patterns generated through Python scripts, enhancing workflow efficiency. Features include advanced hydro development, Java-based time series capabilities, SHEF data integration, and user-friendly tools for managing derived parameters. Discover how our new architecture and features streamline the meteorological data processing experience.

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Enhancements in AWIPS Continuous Technology: Risk Reduction Demo Overview

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  1. AWIPS Continuous Technology Refresh (CTR)AWIPS Software CTR TO9: Risk Reduction Demo September 4, 2008

  2. T09 Grid Derived Parameter PatternNew Pattern based on Python Scripts D2D Python Variables Set: Id, Name, Units Core MetLib FORTRAN ported to py Derived Parameters Python Scripts

  3. T09 Hydro Advanced DevelopmentEnd to End Thread from SHEF ingest to TimeSeries Hydro Hydro Eclipse RCP Plugin Dialogs (24) TimeSeries (16 java classes) 101 Java Classes 10039Lines ../sbn/shef (ingest endpoint) 22 Java Classes 3973Lines SHEF SOA Plug In ShefDecoder Shef Posting to IHFS Shef Data Structures EDEX IHFS Tables Token Files

  4. T09 Demo ScenarioFeatures that illustrate the architecture Demo • D2D Features • Wind Streamlines (Zoom and Pan) • Redbook Graphics • Derived Parameters (Adding {i.e. DpD.py}, modifying) • GFE Features • GridManager (Show eclipse “ViewPart” features) • Running Smart Tools and editing, interpolation • Formatter Launcher (NOW product), Make Hazards • Hydro Perspective • Timeseries from ingested SHEF data

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