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EDCSS Support to JLVC. Steve Lowe, John Holdzkom Modeling & Simulation Division Atmospheric & Environmental Research, Inc. EDCSS Support to JNTC. Simulated Operational Products (C4ISR). Situational Awareness. EDCSS Event Support. White Cell. Training Audience. GoogleEarth.
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EDCSS Support to JLVC Steve Lowe, John Holdzkom Modeling & Simulation Division Atmospheric & Environmental Research, Inc.
EDCSS Support to JNTC Simulated Operational Products (C4ISR) Situational Awareness EDCSS Event Support White Cell Training Audience GoogleEarth Simulation Domain NWARS-ng • Acoustic Detection • Targeting • Mobility • CBRNE • ISR Collections • IR Targeting • MISREP Reports • Base Weather
RIM RIM RIM RIM RIM Event Planners Simulation Control White Cell Trainees EDCSS Process for Training Event Support EDCSS Production Site Consistent, Multi-Domain Environmental Scenario Data Effects Project Conditions, Place/Time, Components Imagery Messages DMZ DMZ EDCSS Distributor HTTP Simulation Network C4I Domain AWSIM JBUS JCATS NWARS JSAF HLA–to-C4I Bridge HLA Simulation Network RIM = Runtime Integration Module HLA = High-Level Architecture
EDC Distributor Client and Runtime API EDC Distributor Product-Based Web Services EDC Runtime Integration Module SOAP / XML Java App Java App Product Cache Data Cache ZIP Files EDC Dist. Client EDC Runtime EDC RIM API Load product files (in requested format) getData(Parm, Level, Time, Lat, Lon) Simulation Application
Advantages of RIM usage • Automation of product download from Distributor • Downloads by component (e.g. JCATS, AWSIM, etc.) • Right products at the right time • Future … • The Distributor will have “scenario control” features added that will allow centralized management of game-time changes to the weather scenario in play. These changes will be very difficult to respond to with the current manual process. • Optional Programming Interface to Data/Effects • Applications can code to RIM API for efficient access to data (or pre-computed effects) by Time, Lat, and Lon. • JSAF JBUS capability already built to utilize RIM Data API • AWSIM Hypercube Read-API is prototype for RIM Effects API
EDCSS Version 1.3 • EDC Production Web Site • All current JLVC products fully automated • Automatic Date Rolling (historical to scenario) • System Impacts Service / Rules Management • User Roles • EDC Distributor • Locally managed Exercise Support Site • Site improvements (classification banner, tab layout) • User Security • Product download via web service by hour (V1.2 supports date only) • EDC Runtime Integration Module • Improved polling logic in Distributor Client (still a pull, no push) • Automated population of RIM Data Cache • API implementation improvements driven by JSAF / JBUS integration
EDCSS Supported Events • TF-09 Support • Produced full suite of EDCSS products to support PACOM defined scenario • Daily weather briefing to training audience by PACOM Senior METOC Officer • Exercise Support Site available in TB30 (JTEN) • “Manual Adjudication” in JLVC simulation • NWDC JSAF played correlated ocean representation • EDCSS products made available on Navy Oceanography Portal • AC-09 Support • Produced full suite of EDCSS products to support EUCOM defined scenario • Ops Weather Squadron ingested EDCSS products • Over 10,000 weather products used to support exercise • 290,000 synthetic observations • “consensus from all levels that products were realistic, consistent, and relevant to the warfighter” (USEUCOM Senior METOC Officer)
EDCSS Production Site AF Atmos EDCSS Production Site Satellite Imagery Data Hypercube Effects COSINE Product Generation Navy Atmos JMB Data Standards Imagery Graphics (KML) Messages Navy Ocean METAR/TAF System Impacts Mineable Databases Ad- Hoc Sources • SEIS • Terrain Data • WRF Output
Project When Where Who Products Spatial Resolution/Projection Available Increments Effects Generation Service IR Hypercube Text METAR Image TAF Weather Graphics Synthetic Satellite EDCSS Requirements Data Model * Components JCATS AWSIM White Cell JET AWSIM * Data JLVC CSV JSAF GRIB
EDCSS Product Samples EDCSS Exercise Support Site
EDCSS Product Portfolio Satellite Satellite/Radar (Google Earth) Radar Probability of Detection
EDCSS Product Portfolio (Cont) Soil moisture content Systems impact (stop light chart) Ocean wave dir/height Weather synopsis
Hypercube Concept Example: IR Sensor modeling using Target Acquisition Weapons Software (TAWS) Sensor Properties Atmospheric Transmission • 4 Target Types • 4 Sensors • 4 Target Orientations • 8 Sensor-Target Azimuths • 5 Sensor-Target Ranges • 3 Sensor Altitudes • 3 Background Types • 24 Times per day • 400 Lat/Lon locations • => 220 million • TAWS computations Target Thermal Properties Background Thermal Properties The Payoff – Runtime Access in Milliseconds !!
Hypercube Concept • Provide pre-computed performance data for simulations that can’t afford the computational burden at run-time • Use a physics solution to a slightly different problem • Compute a desired metric for an n-dimensional parameterized space • Pd = f (Sensor, Target, Background, Weather, Tactics) • Provide a simple API to allow applications to rapidly sample that space for the closest match to the run-time situation • Provides for multi-dimensional interpolation, as appropriate