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Joint Modeling & Simulation Capability Working Group

Joint Modeling & Simulation Capability Working Group. Weather Capabilities Worldwide Joint Training and Scheduling Conference. Mr. Mark Webb DoD ASNE MSEA Liaison to USJFCOM LTC John T. Janiszewski Chief, Technical Development and Innovation Branch J7, Joint Warfighting Center, USJFCOM.

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Joint Modeling & Simulation Capability Working Group

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  1. Joint Modeling & Simulation Capability Working Group Weather Capabilities Worldwide Joint Training and Scheduling Conference Mr. Mark Webb DoD ASNE MSEA Liaison to USJFCOM LTC John T. Janiszewski Chief, Technical Development and Innovation Branch J7, Joint Warfighting Center, USJFCOM

  2. Agenda State of Environment Representation Challenges Conceptual Approach Implementation Status Exercise Usage Future Implementation

  3. State of Environment Representation • The simulation programs affecting decision-making have a limited environment representation. • However, environmentally effected behaviors are present • Obstacles to including environment remain • Minimal programmatic support to modify simulations • Uncertainty over the expectation of the COCOM? • COCOM’s expect some level of realism without specifying • Federation of simulations are loosely coupled, so environmental effects are generally not federation wide • Consistency remains a concern!! • Correlated support products are key to success • Including realistic environment raises as many questions as it resolves. The ability to “see” the data and likely effect on the simulation is a key comforting capability.

  4. Challenges • EXCON Control and Weather Effects • Must provide users tools to ensure things go as expected • Development Testing for baseline capabilities • Validate weather functions in event testing by federate • Educating Planners on existing capabilities • Realignment impacts • Dedicated Weather SME • CAX Planning for Weather • MSEL driven versus Model driven outcomes • JFCOM CAX Events are heavily MSEL driven • Other JLVC users more competitive based

  5. Conceptual Approach • Partnership approach with DoD ASNE MSEA • ASNE Generate weather file (imported by Federates) • CSV or GRIB File • Federates use attributes that can be supported • Weather effects consistent across the federation (manual process) • Weather not clogging network • Multiple support options • Simulations play weather effects on Acquisition, ISR and Targeting • Simulation use Weather overlays (Effects adjudicated by Role Players)

  6. JLVC Implementation Status • Participating Federates • JCATS 8.0 supports weather data with Overlay (1 degree squares) • JSAF reads environmental weather file including ocean data • NWARS-NG uses weather to impact satellite collection • JECS JLVC Analyst Workstation reads and displays weather file • AFMSTT uses weather to effect Air to Ground Targeting • GIAC displays overlay and stimulates Google Earth • AWSIM uses EDCSS Hypercube to calculate detections • ACE-IOS participates through AWSIM (impacts MISREP’s) • No participating Federates • JLOD • JDLM • TACSIM • MTWS (New federate) • Environmental Data Cube Support System (EDCSS): A prototyped capability with a fully developed environmental data development and distribution process • Utilized • Distributor – Weather data is available via an HTML interface (manual)

  7. Exercise Usage • AC09 & TF09 (EUCOM/PACOM) • EDCSS used to provide complete weather package • Weather integrated and stimulated within exercise scenario • Used overlay functionality for simulations • TF08 (PACOM) • First Federation Level EDCSS play • Weather SME attended Planning Conferences • Weather integrated with Exercise Scenario • Used Overlay functionality only • TF07 (PACOM) • Typhoon vignette (No simulated weather play) • AC06 (EUCOM) • AFMSTT and JCATS played uncoordinated weather • No coordination with Exercise Control Group • Results less than optimal

  8. EDCSS Correlated Products Consistent Integrated Representation EDCSS FTUS80 KWBC 110300 RKJK TAF 110303 04006KT 9999 SKC QNH3005INS BECMG 1107/1109 35007KT 9999 SKC QNH2988INS BECMG 1113/1115 09010KT 9999 SKC QNH2991INS BECMG 1119/1121 04009KT 9999 SKC QNH2986INS BECMG 1201/1203 03011G25KT 9999 SCT270 QNH2969INS BECMG 1207/1209 33017G37KT 9999 SKC QNH2967INS METAR RCMQ 110300Z 31016KT 10SM BKN140 30/25 Q0970

  9. EDCSS Process for Training Event Support Process repeats if changes requested Scenario Planner Defines Objectives Project Definition Scenario Search Planner contacts WX support SME to define WX req’s Integrated Environment Representation Production Product Generation Scenario Conditions, Place/Time, Products WX SME V&V’s Data & provides to Planner WX support SME defines EDCSS Project Planner V&V’s accepts or requests changes EDCSS WX Distribution Integration Into exercise WX= Weather WX Support SME is assigned by MAJCOM/COCOM

  10. EDCSS Process for Training Event Support Man Man Man Man Man Event Planners Simulation Control White Cell Trainees EDCSS Production Site Consistent, Multi-Domain Environmental Scenario Data Effects Project Conditions, Place/Time, Components Imagery Messages DMZ DMZ Current JLVC Operation EDCSS Distributor HTTP Simulation Network C4I Domain AWSIM JBUS / OASES JCATS NWARS JSAF HLA–to-C4I Bridge HLA Simulation Network RIM = Runtime Integration Module HLA = High-Level Architecture

  11. Current tools and services have greatest use in supporting Joint and Service training activities that use M&S Need end user advocacy within COCOM’s Integration of space and ocean data to provide correlated natural environment Continue to use EDCSS distributor in tech control Implement further capabilities if CAX use positive Investigate run-time services Ground mobility effects Road Forward Vision

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