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Providing Full Spectrum Environment Representation Support to Training Exercises

This article discusses the importance of realistic and consistent environment representation in simulations and the use of the Environmental Scenario Generator (ESG) to provide multi-domain data in simulation-ready format. It also highlights the challenges and goals of the EDC Support System and provides examples of EDC products and their applications.

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Providing Full Spectrum Environment Representation Support to Training Exercises

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  1. Providing Full Spectrum Environment Representation Support to Training Exercises Steve Lowe – AER, Inc. EDC Development Lead

  2. Motivation • In many cases, a simulation’s fidelity depends on interaction with the environment • Aircraft tactics based on clouds and visibility • Naval tactics based on acoustic performance • Troop movement rate determined by ground wetness • Environment must be realistic and consistent • Should see ground get wet if it rains • Should see ocean response to high winds

  3. Processes System Performance Climate Illumination Course of Action Weather Flight Routes Transmittance Line of Sight Route Selection Hydrologic Cycle Natural Visibility Sensors Sea State Weapon Effects Decision Makers Surface and Subsurface Flows Mobility Acoustic Tracking Ocean Parameters Terrain surface and Features The Same Climate Physical Parameters Course of Action Weather Models Flight Routes Sea State Route Selection Line of Sight Dynamic Terrain Behavior Models Synthetic Visibility Weapon Effects Ocean Models Hydrologic Modeling Mobility Acoustic Tracking Elevation Bathymetry Features Integrated Natural Environment

  4. Atmosphere coupled coupled Ocean Space Environmental Scenario Generator Dynamic Terrain Terrain • Consistent Multi-Domain • Environment Representations • Interactive Search Capability • for Relevant Scenarios • Flexible Delivery Mechanisms • Data Representation • & Interchange

  5. Checkpoint • Consistent Authoritative Environment Representation required for realistic simulation behaviors • ESG is primary source for such data • See https://esg.afccc.af.mil for info and access • Provides multi-domain DATA in simulation ready format • Supports rapid development of relevant scenarios • What is left to do? Remaining issues … • Runtime distribution of environment data • Effects computation inside the simulations • Can be inconsistent and too expensive • Correlated products required to foster usage

  6. C4I Sims CG API File Environmental Data Cube (EDC) Support System • EDC Support System Provides… • Production of full spectrum of correlated support products • Efficient distribution and inject of data/effects • Primary Goal: Consistent C4I, Control Group, and Simulation Views of the Environment Representation Production Distribution Access Use

  7. EDC Production Site • Manage Environment Representation Requirements from Consumer perspective (not producer) • Assumes consistent made-to-order authoritative representation from which to derive products • NO derivation / transformation allowed inside EDC • Building to ESG interfaces, but could use alternate sources

  8. EDC Web Interface – Project View

  9. EDC Web Interface – Component View

  10. EDC Web Interface – Product List

  11. Sample EDC Products SAUS11 KAWN 061200 RRX METAR ZBAA 290200Z 12007KT 10SM CLR 26/19 Q0988 RMK SLP149 LAT399N LON1163E ESGACMES= METAR ZBHH 290200Z 20014G20KT 10SM BKN130 19/10 Q0862 RMK SLP136 LAT408N LON1117E ESGACMES= METAR ZBOW 290200Z 20012KT 10SM BKN090 23/10 Q0871 RMK SLP121 LAT407N LON1100E ESGACMES=

  12. Sample Products for JTF Horn of Africa Rule-Based System Impacts Present Weather Briefing

  13. Pre-Generated Effects Example: IR Sensor modeling using Target Acquisition Weapons Software (TAWS) • 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 The Payoff – Runtime Access in Milliseconds !! Pd = F(Lat, Lon, Time, Sensor, Target, Tactical)

  14. C4I Sims CG EDC Distributor • Provide the right products to the right player at the right time • Provide mechanism to manage scenario branches • Inject of “special” conditions on demand • Dynamic updates during exercise (to include live forecasts) • Forward Deployable to Event Network domain

  15. C4I Sims CG EDC Exercise Support Site

  16. API File EDC Runtime Component • Manage reach-back capability to distributor • Manage local data store (cache) of EDC products • Provide simple local API for simulation developers • Simulation Protocol Neutral • Provide API/data access behind the sim, not via sim protocol

  17. Sim Feeds EDC Runtime EDC Runtime EDC Runtime * HLA Simulation Network EDC Conceptual Architecture Terrain Generation Services AFWA Atmosphere Servers Event Planners NAVO Ocean Servers NOAA/NGDC Space Servers Scenario Conditions, Place/Time, Products Internet EDCSS Production Manager Effects Graphics Imagery Messages “Real-World” C4I Local HTTP Network Sim X Sim Z Sim Y EDCSS Distributor EDCSS HLA Event Analyst HLA feed

  18. Naval Maritime Forecast Center (NMFC) Pearl Harbor Environmental COE JSAF PACOM Joint METOC CAPT Schulz PACFLT Joint METOC CAPT Atangan C7F/CTF-74 EDCSS Support Terminal Fury Environmental Scenario Generator (ESG) Atmosphere & Ocean Data Joint Warfighting Center Suffolk Simulated Graphics and Satellite Imagery Asheville, NC Sfc Atmos GRIB Ocean GRIB CSV Wx IR Effects CSV Wx OASES AFMSTT (AWSIM) JCATS Sim Ground Model Orders Outcomes Air Force Sensor Models Navy Sensor Models

  19. Summary • Realistic M&S requires high-fidelity, consistent, and relevant multi-domain environment representations • Data, Effects, and Products • The ESG provides the base representation • National data and modeling assets provide the content • The EDC Support System provides and distributes the full suite of correlated products

  20. ESG / EDC Programs • 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, AF DMO, Army FCS simulation programs • Capabilities available to any DoD program • Existing capabilities are the result of OSD / Service investment via the M&S CO (http://www.msco.mil)

  21. CONTACT INFO • DoD ASNE MSEA Senior Lead Dr. Fred Lewis U.S. Air Force Director of Weather • DoD Ocean MSEA Senior Lead RDML David Titley U.S. Navy Commander, Naval Meteorology and Oceanography Command • DoD Terrain MSEA Senior Lead Ms. Mary Irvin National Geospatial-Intelligence Agency NGA Modeling and Simulation Executive Agent • DoD ASNE MSEA Col Mark Zettlemoyer, A3O-W 703-696-4936 Mark.Zettlemoyer@pentagon.af.mil • DoD Ocean MSEA Mr Steve Payne, GS15, CNMOC 228-688-5507 Steven.W.Payne@navy.mil • DoD Terrain MSEA Mr Paul Foley, GS15, NGA 703-808-2854 Paul.G.Foley@nga.mil • MSEA Coordinator Lt Col Allen Rabayda 703-696-4786 Allen.Rabayda@pentagon.af.mil

  22. Thanks ! Steve.Lowe@aer.com M&S Group Manager Atmospheric & Environmental Research, Inc. 1510 Breezeport Way, Suite 600 Suffolk, VA 23435 https://ine.aer.com for more info.

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