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Correlated Environment Representation for the JLVC

Correlated Environment Representation for the JLVC. Mark Webb ASNE Liaison to JFCOM Dynamics Research Corp. Suffolk, VA. John Holdzkom, Steve Lowe Modeling & Simulation Division Atmospheric & Environmental Research, Inc. Suffolk, VA. 2009 Fall Simulation Interoperability Workshop.

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Correlated Environment Representation for the JLVC

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  1. Correlated Environment Representation for the JLVC Mark Webb ASNE Liaison to JFCOM Dynamics Research Corp. Suffolk, VA John Holdzkom, Steve Lowe Modeling & Simulation Division Atmospheric & Environmental Research, Inc. Suffolk, VA 2009 Fall Simulation Interoperability Workshop

  2. EDCSS ProgramEnvironmental Data Cube Support System • Tri-MSEA (Air & Space, Ocean, Terrain) initiative to ensure consistent and coupled environment representations available to DoD M&S • Focus is on ensuring support to large programs that will benefit the most • JFCOM Training Exercises and Experimentation Events • Navy FST/NCTE, CAF DMO, Army FCS simulation programs • Existing capabilities are the result of OSD / Service investment via the M&S CO (http://www.msco.mil) • All technology is US DoD owned and delivered open-source for maximum reuse

  3. Technology Overview • Environmental Scenario Generator (ESG) • Identifies historical scenarios that provide relevant conditions • Provides DATA (Integrated Environment Representation) • Environmental Data Cube Support System (EDCSS) • Generate suite of PRODUCTS from I.E.R. • Efficient runtime DISTRIBUTION and INJECT of data and effects • Common Open Services for Integrated Natural Environment (COSINE) • Framework, common to ESG and EDCSS

  4. Outline • JLVC Overview • Environment Representation in JLVC • Consumers (Federates) and Products • Environmental Data Cube Support System (EDCSS) • Overview / Architecture / Components • Requirements Model • EDCSS Support of 2009 COCOM training events • Summary

  5. V MH-53 ASTi Radios SOCOM Voice Comms TUAV JLOD JCATS UAV USA, USMC, SOCOM Wrap-around Non-Kinetic Effects NWARS-NG ACE-IOS TACSIM MDST AWSIM Sensors including National Assets USAF JDLM LOGSIM V JSTARS JIDPS JSTARS USA SIMPLE USA JSAF DVTE V B-52 BCST BFTT Navy, IADS USMC EP-3 MAST TENCAP MUSE USAF USA Navy USA Navy V AC-130U SSE SOCOM SOCOM Joint Live Virtual Constructive (JLVC) Federation Service Combat Simulations Linkages to Live Systems/ Forces Intelligence Range Integration SNN JDAARS AAR & Federation Tools HLA Results Logistics Virtual Simulators

  6. EDCSS Event Support 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

  7. Environment in JCATS • JCATS (Joint Conflict and Tactical Simulation; Army) • Weather CSV populates JCATS environment scenario object; weather icon displayed at each cell • Influences mobility, visual and sensor acquisition • Effects CBRNE plumes (direction and shape) • Default weather: globally uniform; operator-adjustable

  8. Environment in JSAF • JSAF (Joint Semi-Automated Forces; Navy) • Takes ocean and atmosphere data from HLA • JBUS (EDC plugin) reads GRIB, publishes to HLA • Ocean 2D, 3D and Atmospheric 2D fields • Utilized for ATLOS sound speed calculations • Default weather: globally uniform, operator-adjustable

  9. Environment in AFMSTT • AFMSTT (Air Force Modeling and Simulation Training Toolkit) • Weather effects Air-to-Ground Targeting • AWSIM • IR Hypercube to determine Probability of Detection • Weather CSV provides weather at simulated air bases • GIAC displays weather overlay (KML) in Google Earth • ACE-IOS participates through AWSIM (impacts MISREPs) • Default weather: none

  10. Environment in NWARS • NWARS-NG (National War-gaming Simulation – Next Generation; Intel community) • Weather CSV data impacts satellite collection • Cloud cover influences targeting priority • Cloud cover degrades collection success • Default: no cloud cover

  11. Environment Products • JLVC Weather CSV files • Common meteorological parameters on 1x1o grid, 6-hourly • Content (parameters & levels) agreed-upon standard for JLVC • Includes “present weather” code that encapsulates current conditions (e.g., sunny, cloudy, thunderstorms) • Consumers: AWSIM, JCATS, NWARS-NG • GRIB Data files • Binary data encoded to WMO standard • “Styles” to mimic operational forecast products (AFWA, JSAF, GFS) • Consumers: JSAF

  12. Environment Products (2) • IR Effect Hypercubes • Pre-computed sensor performance in given environment • Pd = f (Sensor, Target, Background, Weather, Tactics) • Packaged into n-dimensional hypercube; easy lookup (API) • Consumers: AWSIM • Graphics overlays • “Forecaster” graphics • mimic AF Operational Weather Squadron products • PNG and KML formats • Satellite and RADAR imagery • Physics-based cloud and precipitation imagery • PNG, KML, NITF, TIF formats • “Present Weather” graphics • TV-style weather icons (conditions/temp) overlay on map • Consumers: White Cell, others (manual adjudication)

  13. EDCSS Concept DefinitionEnvironmental Data Cube Support System Space Atmos Ocean Terrain National Repositories DATA & MODELS Project Definition Scenario Search Simulation Integrated Environment Representation Production White Cell or Analyst Product Generation Distribution COP (C4ISR) Integration 13

  14. EDC Production Site • Manage Environment Requirements from Consumer perspective (not producer) • Automate generation of products from Integrated Environment Representation

  15. 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

  16. EDC Production Site

  17. EDCSS Production AF Atmos EDCSS Production Site Satellite Imagery Data Hypercube Effects COSINE (IER) 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 • NCOM Ouput • Live

  18. EDC Distributor • Provide the right products to the right player at the right time • Light-weight, forward Deployable to Event Network domain • Hosts web site • Offers web services

  19. EDC Distributor Client and Runtime API EDC Distributor Product-Based Web Services Project Web Site 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

  20. Exercise Distributor Site METAR LLHA 170000Z 27004KT 10SM FEW016 21/20 Q0997 RMK SLP053 LAT328N LON0350E METAR LLJR 170000Z 29007G19KT 10SM FEW016 17/17 Q0946 RMK SLP075 LAT319N LON0352E METAR LTAF 170000Z 08004KT 10SM SCT015 22/21 Q0999 RMK SLP021 LAT370N LON0353E

  21. RIM RIM RIM RIM RIM Event Planners Simulation Control White Cell Trainees EDCSS 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

  22. EDCSS Product Portfolio Satellite Satellite/Radar (Google Earth) Radar Probability of Detection

  23. EDCSS Product Portfolio (Cont) CSV 01011001010 10011001010 01110100100 FTUS80 KWBC 150900 EQBA TAF 1509/1615 01006KT 9999 SKC QNH2963INS BECMG 1513/1515 05007KT 9999 SKC QNH2963INS BECMG 1601/1603 05007KT 9999 SKC QNH2972INS BECMG 1613/1615 02005KT 9999 SKC QNH2961INS T35/1609Z T17/1521Z= GRIB TAF METAR EQBA 150000Z 05007G18KT 10SM CLR 17/12 Q0944 RMK SLP112 METAR EQBF 150000Z 09014KT 10SM CLR 00/M05 Q0799 RMK SLP189 METAR EQBI 150000Z 11004KT 10SM CLR 09/05 Q0736 RMK SLP113 METAR

  24. EDCSS Product Portfolio (Cont) Soil moisture content Systems impact (stop light chart) Ocean wave dir/height “TV” weather graphics

  25. EDCSS Support – TF09 • TF-09 Support • Weather played major role in exercise script • PACOM Senior METOC officer specified desired scenario • Searched historical archives to find suitable dates • Ran WRF model for scenario in higher fidelity • Provided WRF output for Ocean model forcing • Produced full suite of EDCSS products • Over 9,000 total products • Satellite, Radar, Obs, Grib forecasts, CSV, “TV” graphics • Daily weather briefing to training audience by PACOM Senior METOC Officer

  26. EDCSS Support – TF (cont’d) • TF-09 Support • Exercise Support Site available in JFCOM Test Bay 30 (JTEN) • EDCSS products made available on Navy Oceanography Portal • Primary adopters: White Cell and Training Audience • “Manual Adjudication” in JLVC simulations • JSAF played correlated ocean representation 26

  27. EDCSS Support – AC09 • AC-09 Support • WRF modeling to produce desired scenario • 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 • Flight-level wind and aviation hazard charts, air refueling track forecasts, ship route weather and wave height forecasts, DTRA dispersion model inputs, flight weather briefs… • 290,000 synthetic observations • AC08 – only a few hundred weather products 27

  28. EDCSS Support – AC (cont’d) • AC-09 Support • Primary adopters: White Cell and Training Audience • “Manual Adjudication” in JLVC simulations • “consensus from all levels that products were realistic, consistent, and relevant to the warfighter” (USEUCOM Senior METOC Officer) 28

  29. Summary • JLVC Federates equipped for environmental injects • Variety of effects (targeting, sensor performance, plumes) • EDCSS produces consistent suite of products • EDCSS requirements model and distributor assure each consumer receives the right products at the right time • COCOM-level events: largely successful for White Cell and Training Audience • Adoption by Simulation Control lagging • Viewed as loss of control • Need further training and testing/documentation – ongoing

  30. Thanks ! John.Holdzkom@aer.com Atmospheric & Environmental Research, Inc. 1510 Breezeport Way, Suite 600 Suffolk, VA 23435 https://ine.aer.com for more info.

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