NOAA Tsunami Forecasting System: Design and Implementation Using Service Oriented Architecture D.W. Denbo 1, K.T. McHugh 1, J.R. Osborne 2, P. Sorvik 1,

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Presentation transcript:

NOAA Tsunami Forecasting System: Design and Implementation Using Service Oriented Architecture D.W. Denbo 1, K.T. McHugh 1, J.R. Osborne 2, P. Sorvik 1, and A.J. Venturato 1 1 UW/JISAO-NOAA/PMEL 2 OceanAtlas Software IIPS Session 3A American Meteorological Society January 14-18, 2007, San Antonio TX

16 January rd Conference on IIPS2 Introduction  The Tsunami Forecast System (TFS) is designed to take advantage of recent advances in tsunami measurement and numerical modeling technology by the NOAA Center for Tsunami Research.  The development of TFS is being done in collaboration with the National Weather Service Tsunami Warning Centers.  SIFT (Short-term Inundation Forecasting for Tsunamis) is one of the operational components of TFS.

16 January rd Conference on IIPS3 Design Goals To provide the Tsunami Warning Centers with an operational system that meets the centers needs, we have have chosen a design that:  Provides a robust cross-platform architecture.  Uses proven technologies to increase scalability.  Uses a modular design for maximum flexibility and reusable components.

16 January rd Conference on IIPS4 Technology Used  Java 5.0 as the primary programming language.  Java Swing for the user interface.  Jini/JavaSpaces 2.1 to provide the Service Oriented Architecture  PostgreSQL 8.0 with PostGIS 1.0 for spatially-enable relational databases.

TFS Architecture

16 January rd Conference on IIPS6 Architecture  Major SIFT components include:  SIFTCore - Coordinates system activities.  SIFTFMS - Monitors file system for new seismic events and sea-level data.  SIFTView - GUI for operation interaction with SIFT  SIFTNode - Coordinates the computational needs of SIFT.

16 January rd Conference on IIPS7 Architecture  More SIFT components:  PropDBService - Accesses data from multi-terabyte database of open ocean tsunami propagation results.  DataService - Coordinates the ingestion of sea-level data.  ResultService - manages the results from SIFTNode.

16 January rd Conference on IIPS8 SIFTCore Functions provided by SIFTCore:  HeartBeat Monitor. Monitors the health of the individual system components.  Job Automation. Controls transactions, duplicate requests, and required automated behavior.  GUI Manager. Coordinates communications between SIFTView and the rest of SIFT.

16 January rd Conference on IIPS9 SIFTCore Functions provided by SIFTCore:  TFS Manager. Coordinates between SIFTCore subsystems.  Data Monitor. Coordinates with SIFTFMS to import seismic events and sea-level data into SIFT.  Relational Database. Stores system configuration, tidal coefficients, GUI configuration, and performs transaction management.

16 January rd Conference on IIPS10 SIFTNode Jobs coordinated by SIFTNode include:  FirstEstimate. Uses a single Unit Source nearest the epicenter to create a quick forecast of wave height and arrival time.  CoastalForecast. Computes a forecast (coastal) using all Unit Sources for each warning point.  Inversion. Uses actual sea-level observations combined with model forecast to determine an improved slip distribution.  LaterWaves. Using actual sea-level observations to statistically forecast later wave heights.

Job ControlTFSManagerGUIManager FileMonitor CoastalForcast FirstEstimate Node Dispatch GUI-1GUI-2 DataMonitor data base data files JavaSpace Computation Node SIFTCore

16 January rd Conference on IIPS12 Implementation In the development of SIFT we used:  JBuilder IDE for Java development.  Java coding standards.  Unit testing using JUnit.  Configuration and software source code control with subversion.  Bug and issue tracking with Mantis, a php/MySQL/web based system.

SIFTView

16 January rd Conference on IIPS14 Future Directions SIFT is presently at version 1.5. Future releases will include:  Real-time deep-water buoy measurements assimilated with model results.  Inundation models will provide improved estimates of onshore amplitude.  Later waves will be predicted using the arrival time and amplitude of the initial tsunami wave.

16 January rd Conference on IIPS15 Links  NOAA Center for Tsunami Research  NOAA Tsunami Website

DataService

ResultService