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Use of Historical Data for TAWS Support

Use of Historical Data for TAWS Support. Richard Siquig, NRL Steve Lowe, SAIC Guy Seeley, Radex BACIMO Conference, Monterey, 9/9-11/03. Outline. TAWS weather limitations Relevant ESG and hypercube features Status of ESG-HyperTAWS support Future improvements. TAWS Weather Choices.

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Use of Historical Data for TAWS Support

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  1. Use of Historical Data for TAWS Support Richard Siquig, NRL Steve Lowe, SAIC Guy Seeley, Radex BACIMO Conference, Monterey, 9/9-11/03

  2. Outline • TAWS weather limitations • Relevant ESG and hypercube features • Status of ESG-HyperTAWS support • Future improvements

  3. TAWS Weather Choices Limitations: • Data set limited to current model run • Static defaults • No alternate source for missing data

  4. ESG Functionality Mapping of customer requirements to the best available off-the-shelf or custom-produced resources for M&S Intelligent searching for meaningful environmental events Inter-domain production coordination Online data analysis of all resources Delivery profiles supporting custom formats, terminology, and units TAWS Hypercube (HyperTAWS) Px = f ( Sensor, Target, Background, Weather, Tactics, etc.) Generate probabilities in advance with many “virtual sorties.” Organize as N-dimensional array. Can use climatology or specific weather as input. Interpolate over resulting hypercube at runtime to get Px. Pd – Probability of detection Pr – Probability of recognition Pi – Probability of identification ASNE TAWS Climatology Solution

  5. ACMES 10 KM Iraq Reanalysis

  6. Notional TAWS Hypercube Product • 2-D map display showing favorable/unfavora-ble conditions for various times, seasons, weather conditions • From here, a user could conceivably “drill down” to point targets

  7. FY03 Priorities for ESG-HyperTAWS • ESG Team • Develop support for TAWS MET data format • Derive required parameters in proper units • Provide spatial and temporal interpolation • Implement processing of long term data sets • Test process using ACMES one month data sets • Radex Team • Use TAWS-A w/ ESG data to build prototype HyperTAWS • Implement HyperTAWS process on AFCCC Linux cluster • ASNE Goal is to demonstrate process and be ready to build climatological TAWS Hypercubes from 10-year ACMES runs

  8. Initial ESG-HyperTAWS Study • Spatial Extent • Korea(37 – 42 deg N, 124 – 130 deg E) • 0.25 deg output resolution • Temporal Extent • Four sample months, providing a wide range of conditions • One hour ACMES model output, interpolated to 15 mins • Format • TAWS MET data files (per TAWS documentation) • 30-hr data files, allowing 6 hrs of “spin-up” per TAWS run • One grid point per file • File name specified by HyperTAWS team

  9. Status • ESG provided January ‘98 data set to Radex • Over 15,000 point-day files in TAWS format • Radex performed test runs of TAWS-A focused on the period Jan. 08-14, 1998 • Validated the weather input from ESG • Provided initial view of Hypercube products • Remainder of months will be produced once a one-month HyperTAWS product is completed

  10. ACMES: Korea, Jan 8, 1998, T, Td, Wind

  11. ACMES: Korea, Jan 8, 1998, Visibility, PBL Ht

  12. HyperTAWS: Korea, Jan 8, 1998Detection Range and Cloud Coverage Fix Target: T-62 tank Sensor: 8104 Sensor altitude: 10,000 ft View direction: 0 (sensor looking north) Detection range: color coded Green: > 7 km Yellow: > 3 km & < 7 km Red: < 3 km Cloud coverage: White implies > 6/8 in a layer between sensor altitude and ground

  13. Illustrative HyperTAWS Example • Detection Range versus: • Target Heading • Sensor altitude • Time • Azimuth • Given slide: • Target heading/ sensor altitude constant • Time varies • Slide to slide: • Target heading varies

  14. ESG-TAWS Use Cases (1) • TAWS user uses ESG not integrated with TAWS to retrieve specific historical data from ESG resources • TAWS user uses ESG loosely integrated with TAWS to retrieve historical data corresponding to current calendar period for given location(s). This could replace the default values currently used in TAWS • TAWS user retrieves climatological statistical data (vice TAWS weather files) from ESG resources

  15. ESG-TAWS Use Cases (2) • TAWS user wants to retrieve TAWS calculations from a hypercube registered as an ESG resource • TAWS user uses ESG with physics-based environmental impacts interface (TAWS) to retrieve the underlying environmental factors or the environmental impacts themselves

  16. Summary • Climatological support can be provided to TAWS by leveraging • ESG • Hypercube • Several options exist beyond FY03 start

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