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Natural Environment Support – More than Numbers. Donna W. Blake, Steven J. Lowe, John Holdzkom Environmental Representation Modeling & Simulation Division Atmospheric & Environmental Research, Inc. Stephen M. Webb ASNE/MSEA Liaison to JFCOM General Dynamics Corporation.
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Natural Environment Support – More than Numbers Donna W. Blake, Steven J. Lowe, John Holdzkom Environmental Representation Modeling & Simulation Division Atmospheric & Environmental Research, Inc. Stephen M. Webb ASNE/MSEA Liaison to JFCOM General Dynamics Corporation Presented to the 77th MORSS 16-18 June 2009 Ft. Leavenworth, KS
Outline • The Problem for Emerging Simulations • The Environment Support Concept Model • The Producer-Consumer Connection • The Two-Part Solution • Tracking Requirements • Coordinating Products • Example – Combatant Command (COCOM) training events • Summary
The Problem for Emerging Simulations • Complex sensor, behavior & societal models • Require diverse natural environment products that • Maintain consistency across/within simulations and for additional participants • Consistency requires the capability to • Conduct scenario-based searches for existing products • Capture and track products required by each model • Generate and distribute products • Emerging simulations require that environment products be provided in a manner that is • Efficient, effective and flexible while conforming to standards
Scenario Interactions (DoD) Threat Ship & Combat Systems Threat hits Ship Weapon (RAM) hits Threat Ship performance is affected by environment Threat performance is affected by environment Most interactions involve the natural environment Ship & Combat Systems impact environment Threat impacts environment Natural Environment In-Situ
For M&S, Perceived is the “model” for In-Situ Real World View Natural Environment Perceived What we “know” about What is physically there Real World Natural Environment In-Situ What is physically there Natural Environment Human-made Systems Humans Natural Environment Perceived Civilian Systems Military Systems Natural Environment In-Situ Civilian Military
Observations climate Physics-based models & algorithms Historical Records “NOW” T+/-3hrs synoptic mesoscale micro- scale Analysis Scenarios vs. “Climo” Use alone or combine Ground Truth Forecasts Consistent Integrated Environmental Representation 4D Cube Tactical Decision Aids &/or Simulations App App App Environment Support Concept Model (Natural Environment Perceived) Implementation varies with application
Process A.1 Process B.2 Process A.2 ? The Provider-Consumer Connection What happens when I add new/alternative data sources? What is the cost? How do I validate use? Authoritative Sources Category II Data Provider A 1 Consumer X 2 Data Sources: “Requirements” 3 “Utilities” Provider B 1 • Units Conversion • Grid Manipulation • Vertical Interpolation • Derived Content 2 Data Sources: Category I Data 3 Consumers become locked-in to specific data sources, and are developing utilities outside their area of expertise. Category I – V & V’ed Category II – Sim created
Process A.1 Process B.2 Process A.2 Process B.2 Process A.2 Consistent? The Provider-Consumer Connection What happens when I add new consumers? How do I ensure consistency? Authoritative Sources Category II Data Provider A 1 Consumer X 2 Data Sources: “Requirements” 3 Provider B 1 Consumer Y 2 Data Sources: “Requirements” 3 Category I Data One M&S Federation today has 2 to 6 unique consumers. Federations of tomorrow will have 10 – 100 unique consumers that MUST obtain and utilize consistent environment.
Process B.1 Process A.1 Process A.2 Process B.3 Process B.2 Process A.3 A Better Model … Category I Data Authoritative Sources “Virtual Provider” Provider A 1 Consumer X 2 Data Sources: “Requirements” 3 Consumer Y “Requirements” Provider B 1 2 Data Sources: Consumer Z 3 “Requirements” Common Utilities Note: Virtual Providers should be tied to / defined by communities of CONSUMERS because the goal is consistency across a federation of consumers. Provider data sources should be allowed (encouraged?!) to be inconsistent in order to achieve highest possible fidelity.
The Two-Part Solution • Create and distribute the consistent Environment Representation* • Identify historical scenarios that provide relevant conditions • Develop the Integrated Environment Representation • Distribute through Common Open Services for Integrated Natural Environment (COSINE) • Create and distribute the consistent individual views/products of the Environment Representation** • Identify all views/products required by each participant • Develop consistent views/products for the C4I, Control Group, and Simulation domains (for example) • Provide efficient runtime distribution with injection of data & effects • ASNE Technology • *Environmental Scenario Generator (ESG) • **Environmental Data Cube Support System (EDCSS)
Atmosphere coupled coupled Ocean Space Environmental Scenario Generatorhttps://esg.afccc.af.mil/ Dynamic Terrain Terrain • Interactive Search Capability • for Relevant Scenarios • Consistent Multi-Domain • Environment Representations • Flexible Delivery Mechanisms
Space Atmos Ocean Terrain EDCSS Concept DefinitionEnvironmental Data Cube Support System National Repositories DATA & MODELS Project Definition Scenario Search Simulation Integrated Environment Representation Production White Cell or Analyst Product Generation Distribution COP (C4ISR) Integration
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 JSAF * Data OASES GRIB JLVC CSV
Consistent Integrated Representation EDCSS EDCSS Correlated Products 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
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 / OASES JCATS NWARS JSAF HLA–to-C4I Bridge HLA Simulation Network RIM = Runtime Integration Module HLA = High-Level Architecture
Environment Representation in M&S • DoD Modeling & Simulation (M&S) • Environment Representation defined as key success criteria • Support focused on Training, Acquisition, Analysis, and T&E • Training: Joint (JNTC), AF (DMO), Navy (FST), Army (FCS) • M&S Executive Agents • Air and Space Natural Environment (ASNE) - USAF/A30-W • Ocean – USN/CNMOC • Terrain – NGA • Technology Development • M&S CO (former DMSO) funded through MSEA endorsement • Emphasis on critical enabling technology (standards-based) • In general everything you see here is DoD owned • DATA and MODEL resources separated from technology
Summary • Problem: • Provide the diverse natural environment products required by complex models of sensors, behavior and societal models. • Maintain consistency of natural environment representation across/within simulations and with additional participants. • Two-part solution: • Provide integrated consistent 4D environment representation (ESG), including web-based distribution. • Provide consistent environment views/products of environment representation to all participants (EDCSS), including runtime distribution of data and effects. • Constraints • Meet requirements and maintain standards. • Be efficient, effective, and extensible.
Back-Up Slides Back-Up Slides
The EDCSS M&S Landscape The Tri-MSEA Vision is for EDCSS to be a Virtual Provider of the integrated Dynamic Environment package for all of DoD M&S. JLVC AFWA DMO CNMOC NGA NCTE NOAA FCS
ASNE Technology Overview • Environmental Scenario Generator (ESG) • Identifies historical scenarios that provide relevant conditions • Provides the Integrated Environment Representation • Common Open Services for Integrated Natural Environment (COSINE) • Environmental Data Cube Support System (EDCSS) • Provides consistent views of the Environment Representation to the C4I, Control Group, and Simulation domains • Efficient runtime distribution and inject of data and effects • Space Environment Information System (SEIS) • NGDC Developed Space domain overlay to ESG / EDCSS