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Turbulence Prediction and Warning Systems Programmatic Status

Turbulence Prediction and Warning Systems Programmatic Status. NASA-FAA-Industry Turbulence Certification Workshop 6 Dec 2-3, 2003 James F. Watson NASA-Langley Research Center. Program Organization. Aviation Safety & Security Program Office. George Finelli, Director.

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Turbulence Prediction and Warning Systems Programmatic Status

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  1. Turbulence Prediction and Warning Systems Programmatic Status NASA-FAA-Industry Turbulence Certification Workshop 6 Dec 2-3, 2003 James F. Watson NASA-Langley Research Center

  2. Program Organization Aviation Safety & Security Program Office George Finelli, Director John White, Deputy Director Gin Marks, Sr. Prog Analyst Brian Smith, Dep Prog Mgr (ARC) , Ron Colantonio, Dep Prog Mgr (Acting, GRC) Program Integration Program Integration Technical Integration Technical Integration Michael Basehore (FAA) Frank Jones Carrie Walker (HQ) ( LaRC ) 1.4 1.5 1.3 Thrust Weather Safety Technology Systems Safety Technology Areas Vehicle Safety Technology 2.4 2.7 2.3 2.6 2.5 2.2 2.1 2.8 Weather Aircraft Icing Single Synthetic Accident System - Wide Aviation Search and Accident Mary Wadel Aircraft Vision Mitigation Accident System Rescue Projects Prevention (GRC) Accident Daniel Baize Robert Prevention Monitoring & David Affens K. Martzaklis Prevention Cheryl Allen McKnight Tina Beard Modeling (GSFC) (GRC) John White ( LaRC ) (GRC) (ARC) Irving Statler ( LaRC ) (ARC) Turbulence Prediction & Warning Systems (TPAWS) Aviation Weather Information (AWIN) Weather Information Communications (WINCOMM) Elements Rod Bogue, Dep (DFRC) Jim Watson, Dep (LaRC) Paul Stough (LaRC) Mike Jarrell (GRC)

  3. Goals & Objectives • Weather Accident Prevention Goal:Develop enabling technologies to reduce weather-related accident causal factors by 25-50% and turbulence-related injuries by 25-50% by year 2007. • WxAP Objective Number 3: Develop turbulence prediction technologies, hazard metric methods, and mitigation procedures to enable a 25-50% reduction in turbulence-related injuries. • TPAWS Goal: Develop and augment knowledge of both the turbulence phenomena and the effects of turbulence on aircraft, and develop technologies to detect convective and clear air turbulence and mitigate the effects on aircraft passengers • Turbulence is the predominant weather threat for airborne tactical decision making relating to safety of cabin passengers and crew; also has significant operational costs impact

  4. TPAWS Airborne Centric Concept Data Link Data Link Flight Management System A/C Controls/Mitigation Schemes Decision Aids Presentation to Pilot Processors Onboard Sensors Airborne Turbulence Information TurbulenceAuto-PIREP Airborne scaling & display of Turbulence Auto-Pirep’s information Forward-Looking Sensors: Radar and LIDAR Ground-basedTurbulenceProducts

  5. Programmatic Boundaries • Budget Guidelines • TPAWS FY03-05 guidelines are intact • FY03-05 program support/infrastructure costs continue to increase resulting in less net research funds • FY02 was “bottom of v” profile, FY03 greater than FY02 • Personnel & Flight Assets Allocations • FY03 TPAWS personnel resources are “minimal critical mass” in total numbers, augmentation by new-hires • LaRC 757/Service Activity requirements from overall AvSP are maximized; continual trade-off process

  6. TPAWS FY03 Priority Areas • Systems-Oriented Process • Get the right turbulence information to/from the right aircraft with sufficient time for necessary decision making; focus on airborne tactical decisions • Develop a ConOps document and a Requirements document for Airborne Turbulence Information and Alerting System with inputs by stakeholders and end-users • Certification Methods & Tools • Turbulence Modeling and Simulation • Final formulation of turbulence safety hazard metric based upon aircraft dependent attributes • End-to-end analytical studies for scoring criteria/rules, validation boundaries

  7. TPAWS FY03 Priority Areas <cont’d> • Turbulence AutoPIREP Systems • 757/learjet flight experiments • Complete systems validation activities • Flight Deck Integration • Re-plan activities, clean sheet • End User/Customer Collaboration • One-to-one workshops; MOUs, MOAs for transitioning TPAWS items • TPAWS website for dissemination of technology status/flight results

  8. TPAWS Research-Development Team WindShear Experience Air Force MANTECH Atmospheric Science LIDAR Technology AeroTechResearch Coherent Technologies, Inc. NCAR Radar Signal Algorithms Turbulence PDT Team NASA FAA Aviation Weather Program LaRC/DFRC Research/Flight Assets Test Bed Aircraft NCSU Turbulence Encounters Honeywell Rockwell-Collins RTI Boeing Radar Technology Radar Signal Processing Aircraft Controls Aircraft Mods Private Industry Academia Government

  9. FY03 Significant Items /Timeline • Oct-02; Continuing Resolution (30 Days) • IFMP implementation at LaRC, DFRC • Nov-02; WxAP Annual #3, MIT-LL • TPAWS break-out session • Dec-02; WxAP FY03 Project Plan approved • Feb-03; NRC Review Wash DC • Mar-03; NASA FY03 budget approved • NRC followup, LaRC • Industry “tour”, hazard tables • Apr-03; NRC questions/responses • 757/Lear experiment issues

  10. FY03 Significant Items /Timeline • May-03; CAST Mtg, Turbulence costs • LaRC flight operations “stand-down” • LaRC IFMP “crossover” NRC Review • Jun-03; Stand-down cancels SV-Reno • 1-day meeting with LaRC & FAA-LB • TGIR Conference, Williamsburg-VA • Jul-03; Stand-down continues, escalates • TPAWS presence at Oshkosh • Aug-03; Stand-down continues • TPAWS 757/Lear Experiment cancelled • Three 1-day Meetings w/ Funded Partners • Sep-03; Stand-down continues • Begin FY04/05 planning

  11. Other Items • NASA Columbia Space Shuttle Accident, CAIB Report • Isabel

  12. FY03 TPAWS Summary • Significant results in enhanced radar turbulence technology including prediction algorithm and hazard metric validation • Significant results in turbulence certification methodology and related tools including turbulence data sets, radar simulations, end-to-end concept validation, and scoring/evaluation criteria • Quantitative results from cabin turbulence warning experiments to determine time durations for “securing passengers” based upon flight phases • Flight Deck Integration efforts were re-initiated. • Increased awareness of turbulence at CAST, airlines, newsletters, industry, other gov’t agencies, etc..

  13. Web Sites • http://tpaws.larc.nasa.gov • Prime location of significant TPAWS info • Certification Workshops #1-5 items • LaRC-757 turbulence flight data/results • Distribution of turbulence data sets and tools for certification • http://wxap.grc.nasa.gov • Prime location of significant WxAP info • Presentations of WxAP Annual Review Meetings#1-3, including special break-out session presentations of all TPAWS research activities through FY02 • WxAP CONOPS document

  14. NASA TGIR Revolutionize Aviation Award

  15. Certification Methodology Background NASA-FAA-Industry Turbulence Certification Workshop 6 Dec 2-3, 2003 James F. Watson NASA-Langley Research Center

  16. Background • Five Workshops to date; initiated by WxAP PM, Dec-00. • Workshop#3, TPAWS was chartered to lead this activity, and develop specific milestone and budget for FY02+ • “Tiger team” formulated and met, produced the Cert Methodology Chart, Sept-01; “6-box” chart • Two highly successful, collaborative workshops of NASA-FAA-Industry Turbulence Detection Certification Team • Feb-02 at NASA-LaRC, Workshop#4 • Sept-02 at FAA-Long Beach, Workshop#5

  17. Certification Methodology wind field reflectivity I & Q • 1) Turbulence Events/Scenarios • Enough events? • Domain size/number of scatterers • Roles of von Karman and cloud models • V&V of cloud model • Model reflectivity vs radar reflectivity • Time evolution? • 2) Radar Simulation • Phase modulation? • ADWRS / other v&v • Radar scenarios (see description of “Radar Truth field” output) • 3) Radar Algorithm* • NASA standard algorithm • Moment estimate field on radar grid. • Load estimate field on radar grid. *Vendor equipment/ products will replace this block Estimated loads on radar grid • 4) Aircraft Specific Test Criteria • Weight • Type • Speed wind altitude • 5) Aircraft “Truth” Fields • Domain size (1, 2, 3-D) • Technique for producing truth • Aircraft type/configuration; generic vs. actual* • errors due to parameter uncertainty (e.g., weight) • *NASA task 2 as defined at OKC meeting 05/01 • 6) Comparative Analysis & Statistics • Flight deck issues • Polar to Cartesian conversion • Hit/miss scoring rules Estimated loads on Wx model grid 25-Sept-01

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