Do D Air and Space Natural Environment Modeling

Do. D Air and Space Natural Environment Modeling and Simulation Executive Agent Integrity - Service - Excellence 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 1

ASNE MSEA Organization Air & Space Natural Environment Modeling and Simulation Executive Agent Director of AF Weather The MSEA AFWA Col Zettlemoyer Sponsors M&S CO XCOM Lt. Col Rabayda Developers AFCCC Maj Everitt Program Office (DRCx 3) AER SAIC NGDC 2

Why are we here? ASNE/MSEA is not in the visual simulation business n n Virtual (cockpit) simulators are beginning to require/utilize environment representations behind the imagery n Sensor Prediction / Lighting Models n Embedded Dynamic Effects n Vehicle Performance Behaviors Virtual simulators are being linked into distributed LVC simulation architectures n 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 Do. D 3

Providing Realistic Context X X X 4

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

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

M&S Support with ESG https: //esg. afccc. af. mil Customer HTTP / FTP Pickup Customer Request Conditions, Place/Time, Content, Format ASNE SME Custom Database Typical Application of ESG Find the Event Generate Base Representation NCEP/NCAR 50 -Year Reanalysis NWP Model Generate Customer Representation Transforms Custom Packaging Format Encoder 7

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 Index Pasquill Stabilty Index Precipitation Intensity Precipitation Rate Precipitation Type 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 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 Excess Mixed Layer Depth Salinity Shallow Sound Channel Axis Depth Sonic Layer Depth Sound Speed Surface Duct Cutoff Frequency Water Temperature 8

Hypercube Concept Example: IR Sensor modeling using Target Acquisition Weapons Software (TAWS) Sensor Properties 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 Atmospheric Transmission Target Thermal Properties Background Thermal Properties The Payoff – Runtime Access in Milliseconds !! 9

Hypercube Concept n Provide pre-computed performance data for simulations that can’t afford the computational burden at run-time n n Compute a desired metric for an n-dimensional parameterized space n n Use a physics solution to a slightly different problem 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 n Provides for multi-dimensional interpolation, as appropriate 10

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

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

EDC Conceptual Architecture EDC Production Data Hypercubes Scenario Data Product-based Web Services (C 2 Feeds, HITL) Graphics Text (Obs) EDC Runtime Component Pack A Pack EDC Pack B Scenario Management Simulation Package Mgr Exercise V&V Pack C An EDC Simulation Package is a complete set of Data, Hypercube, Image, Text products mapped to simulation requirements. EDC API Sim Y EDC Service “Sim Net” EDC Distributor Sim X Data Cache (Custom) Encoder HLA/RTI DIS XMSF ? ? ? DATA file Sim Z Data, Effects Customer Simulation HLA DIS ? ? 13

EDC Process for Blue Flag - 07 Blue Flag NIPR Site GRIB (AFWA/MM 5) METAR (JMIBL) JWIS NITES CSV AFCCC Data Base Atmospheric Representation 50 km / 1 -hr Califon Feb 94 Spatial Shift Temporal Shift Derived Content Custom Formats “Pacifica” June 2007 Gr. ADS IMAGES Hyper. TAWS Hypercubes 505 th AWSIM 14

WX CHARTS and METAR’s METAR KBOI 201200 Z 18006 G 15 KT 10 SM TS SCT 011 02/M 03 Q 0856 RMK SLP 145 LAT 351 N LON 1764 E ESGACMES METAR KBAM 201200 Z 18005 G 12 KT 10 SM CLR 03/M 09 Q 0821 RMK SLP 100 LAT 322 N LON 1757 E ESGACMES METAR KWMC 201200 Z 18005 G 08 KT 10 SM CLR 04/M 08 Q 0842 RMK SLP 120 LAT 325 N LON 1748 E ESGACMES 15

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

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