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The Environmental Data Cube Distributing Realistic Weather

The Environmental Data Cube Distributing Realistic Weather. Steve Lowe ESG/EDC Program Manager AER, Inc. Steve.Lowe@aer.com Maj Jim Everitt and Mark Webb (DRC) ASNE / MSEA Office. ASNE MSEA Organization. Air & Space Natural Environment Modeling and Simulation Executive Agent.

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The Environmental Data Cube Distributing Realistic Weather

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  1. The Environmental Data Cube Distributing Realistic Weather Steve Lowe ESG/EDC Program Manager AER, Inc. Steve.Lowe@aer.com Maj Jim Everitt and Mark Webb (DRC) ASNE / MSEA Office

  2. ASNE MSEA Organization Air & Space Natural Environment Modeling and Simulation Executive Agent Director of AF Weather Sponsors The MSEA M&S CO XCOM Col Zettlemoyer AFWA LtCol Rabayda Developers AFCCC Maj Everitt AER SAIC NGDC Program Office (DRCx3)

  3. Why are we here? ASNE/MSEA is notin the visual simulation business • Virtual (cockpit) simulators are beginning to require/utilize environment representations behind the imagery • Sensor Prediction / Lighting Models • Embedded Dynamic Effects • Vehicle Performance Behaviors • Virtual simulators are being linked into distributed LVC simulation architectures • Standalone “dial-a-weather” environment is no longer acceptable! ASNE/MSEA offers technology and support services providing realistic natural environment representations ideal for use in distributed LVC simulation architectures. FREE to DoD

  4. Providing Realistic Context X X X

  5. …you won’t see targets… Customer Sets Weather Objectives Looks clear to me… Retrieve Products Provide Weather Run the Simulation Determine Effects & Make Briefing = Archive Products Past: How we got Weather into an Exercise Manpower intensive process focused on graphic products Rather than DATA in the simulations. 100% Accuracy The military was NOT really training like it fought! In isolation

  6. Customer Sets Weather Objectives Simulations Focused Data Sets Weather Effects Develop Scenario System Impacts Common Distribution Briefing Products White Cell COP ASNE/MSEA Vision for Weather Support Environmental Data Cube ASNE MSEA SME

  7. M&S Support with ESG https://esg.afccc.af.mil Customer Request Conditions, Place/Time, Content, Format ASNE SME Customer HTTP / FTP Pickup Custom Database Typical Application of ESG Find the Event Generate Base Representation Generate Customer Representation Custom Packaging NCEP/NCAR50-Year Reanalysis Format Encoder NWP Model Transforms

  8. ESG Content Sample Absolute Humidity Best Lifted index Blowing Sand Blowing Snow Bulk Richardson Number Cloud Base Cloud Ceiling Density Altitude Dewpoint Temperature Evaporative Duct Height Fog Freezing Level Height Frozen Ground Geopotential Height Ground Wetness Heat Index High/Mid/Low Cloud Base High/Mid/Low Cloud Cover High/Mid/Low Cloud Top High/Mid/Low Cloud Type High/Mid/Low Icing Intensity High/Mid/Low Turbulence Intensity Illumination Inversion Height Land Cover Land Use Category Modified Refractive IndexPasquill Stabilty Index Precipitation Intensity Precipitation Rate Precipitation Type Pressure Pressure (Reduced to MSL) Pressure Altitude Relative Humidity Skin Temperature Snow Depth Soil Moisture Soil Temperature Specific Humidity Surface Duct Height Temperature Thunderstorm Probability Total Cloud Cover Total Precipitation Visibility Water Vapour Mixing Ratio Wind Chill Wind Direction Wind Gust Speed Wind Speed Wind U-Component Wind V-Component Ocean Content (Tentative) Primary Wave Direction Primary Wave Period Significant Wave Height Sea State Critical Depth Current U-Component Current V-Component Deep Sound Channel Axis Depth Depth Excess Mixed Layer Depth Salinity Shallow Sound Channel Axis Depth Sonic Layer Depth Sound Speed Surface Duct Cutoff Frequency Water Temperature

  9. 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 !!

  10. 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

  11. Customer Sets Weather Objectives Simulations Focused Data Sets Weather Effects Develop Scenario System Impacts Common Distribution Briefing Products White Cell COP ASNE/MSEA Vision for Weather Support Environmental Data Cube ASNE MSEA SME

  12. Environmental Data Cube ASNE/MSEA FY-07 New Start • Provides for production of full-suite of environment representation products required to support simulation events • Customized data representations or effects • Derived visual representations to support decision makers • Simulated Operational METOC Product Feeds • Provides for coordinated distribution of all products • The right product to the right consumer at the right time • Manages changes/branches in scenario • Provides embeddable technology to improve use of environment representation within the simulations • Pre-configured for use with EDC dynamic data distributions • Focused on embedding the impact without the data volume

  13. EDC Runtime Component EDC Service EDC Pack Data Cache API (Custom) Encoder DATA file Customer Simulation Data, Effects HLA DIS ?? EDC Conceptual Architecture EDC Production Data Product-based Web Services (C2 Feeds, HITL) Hypercubes Scenario Data Graphics Text (Obs) “Sim Net” Pack A Sim X EDC HLA/RTI DIS XMSF ??? EDC Distributor Pack B Sim Y EDC Scenario Management Simulation Package Mgr Exercise V&V Sim Z EDC Pack C An EDC Simulation Package is a complete set of Data, Hypercube, Image, Text products mapped to simulation requirements.

  14. EDC Process for Blue Flag - 07 Blue Flag NIPR Site JWIS GRIB (AFWA/MM5) METAR (JMIBL) NITES CSV Spatial Shift Temporal Shift Derived Content Custom Formats “Pacifica” June 2007 AFCCC Data 505th Base Atmospheric Representation 50km / 1-hr Califon Feb 94 IMAGES GrADS AWSIM Hypercubes HyperTAWS

  15. WX CHARTS and METAR’s METAR KBOI 201200Z 18006G15KT 10SM TS SCT011 02/M03 Q0856 RMK SLP145 LAT351N LON1764E ESGACMES METAR KBAM 201200Z 18005G12KT 10SM CLR 03/M09 Q0821 RMK SLP100 LAT322N LON1757E ESGACMES METAR KWMC 201200Z 18005G08KT 10SM CLR 04/M08 Q0842 RMK SLP120 LAT325N LON1748E ESGACMES

  16. Summary • Existing ASNE Capabilities for Environment Representation • Environmental Scenario Generator • Environmental Hypercube • Auxiliary Products (Graphics, Text, etc.) • Environmental Data Cube is an FY-07 New Start to formalize many existing processes • Unique “weather server” in its modularity / flexible use • Consistent Environmental Representation is the foundation • Broad range of derived products and delivery mechanisms

  17. Questions ? Steve.Lowe@aer.com 757.348.9997 Mark.Webb.CTR@afccc.af.mil 828.271.4210 asne@afccc.af.mil https://esg.afccc.af.mil

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