Friends and Partners of Aviation Weather (FPAW) 2016 Application of Turbulence Data in Flight Operations Introduction: The Turbulence Problem Tammy.

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Presentation transcript:

Friends and Partners of Aviation Weather (FPAW) 2016 Application of Turbulence Data in Flight Operations Introduction: The Turbulence Problem Tammy Farrar, Federal Aviation Administration NextGen Aviation Weather Division

FPAW Application of Turbulence Data in Flight Operations Panelists Tammy Farrar, Meteorologist, FAA NextGen Aviation Weather Division Captain Bill Watts, Delta Air Lines Winston Carter, Flight Ops Dispatcher, Gulfstream Judith Reif, JR Flight Services Matt Tucker, National Air Traffic Controllers Association Debora Sutor, Association of Flight Attendants Tom Fahey, Chief Meteorologist, Delta Air Lines Tenille Cromwell, Chief Pilot, Airborne Product Support, Gulfstream

The Turbulence Problem and Advancements in Mitigation Overview Motivations Automated In Situ Turbulence Reporting Turbulence Forecasts/Nowcasts Integration of Turbulence Information into Flight Operations Future challenges

Motivations Turbulence impacts on NAS Operations SAFETY: In non-fatal accidents, turbulence is leading cause of injuries to passengers and flight crews for Part 121 Air Carriers1 21998-2013: 432 turbulence events; 225 serious injuries; 1,109 minor CAPACITY: Turbulence is the 2nd leading cause of impact to NAS capacity Degraded acceptance/departure rates from terminals Reroutes, delays, diversions, cancellations Increased controller workload FUEL CONSUMPTION/EMISSIONS: Pilot initiated altitude deviations ATC “Chat Room” - Pilots & controllers on center frequencies drive often unnecessary altitude deviations as pilots seek smoother rides Significantly reduces airline fuel economy and increases carbon emissions. Estimates that 40-159 million gallons of fuel are wasted annually3 1http://www.faa.gov/passengers/fly_safe/turbulence 2NTSB Briefing to Turbulence Workshop, Washington DC, September, 2014 3NASA Turbulence Reporting Technologies In-Service Evaluation: Delta Air Lines Report Out, April 2007

Motivations User Turbulence Concerns Flight Crews Multiple data sources (ATC “Chat” room, dispatchers, company-specific forecast products, on-board radar) Strategic vs tactical decisions Reporting subjectivity, inaccuracy Cabin management Varied tolerance for risk Company policies Dispatchers Multiple data sources Subjectivity, inaccuracy Workload ATC No access to real-time turbulence data at work area PIREPs communicated via “sneaker net” Ride reports passed from controller to controller during shift change Altitudes “blocked” out with repeated turbulence reports, can persist for hours Flight Attendants Insufficient info from flight crews Obligation to continue duties when seatbelt sign is on 300 lb beverage cart Uncooperative passengers

Motivations Shortfalls in Manual Turbulence PIREPS Wright Brothers’ Technology? PIREPS are subjective in nature PIREP thresholds are aircraft-dependent Due to various reasons, manual turbulence PIREPs are often inaccurate in space and time: A 2012 study by the NCAR found*: PIREPS, on average, have distance errors of 35-45 km Average PIREP timing error can range from a few seconds to a few minutes *Pearson, J. and Sharman, R., 2013: “Calibration of in situ eddy dissipation rate (EDR) severity thresholds based on comparisons to turbulence pilot reports (PIREPs)”, presentation at 93rd American Meteorological Society Annual Meeting, 16th Conference on Aviation, Range, and Aerospace Meteorology, Austin, Texas.

Automated In Situ Turbulence Reporting NCAR EDR Algorithm Development began in 1990s under FAA’s Aviation Weather Research Program (AWRP) Software loaded on the Aircraft Condition Monitoring System (ACMS); uses existing sensors (accelerometer, winds, pressure, etc) and inputs derived from sensors (angle of attack, roll angle, etc) to calculate a measure of the turbulent state of the atmosphere Aircraft independent, not a direct measurement of g-loads Provides atmospheric turbulence metric: Eddy Dissipation Rate (EDR) International Civil Aviation Organization (ICAO) standard for turbulence reporting

Automated In Situ Turbulence Reporting NCAR EDR Algorithm (As of Oct 6, 2016) U.S. Carriers: ~85 reporting a/c DAL – 84 (B-737/767s) A-330/321s, B-777s in progress Within next 3-4 months, 284 total Within 12 months, potential for 270 additional SWA – Currently 0 (B-737s) Undergoing avionics upgrade Potential for >600 UAL – 1 (B-757) Foreign carriers XiamenAir (China): ~~59 B-737s, possible plans for B-787s Qantas (Australia), Air France, Lufthansa (Germany) all interested

In Situ Turbulence Reporting Other Developers Panasonic (TAMDAR): 296 current installations, 136 more under contract 10 active participating airlines, plus future B737 operator in Asia: AeroMexico Connect (Mexico); Embraer ERJ145s, EMB190s AirAsia (Southeast Asia); Airbus A320s Republic Airways (Eastern US); Embraer ERJ145s Piedmont Airlines (Eastern US); Bombardier Dash-8 100/300s Peninsula Airways (Alaska & Eastern US); Saab 340s & 2000s Silver Airways (Eastern US); Saab 340s Ravn Alaska (Alaska mainland); Bombardier Dash-8 100s and Beechcraft 1900Cs Icelandair (US and Europe); Boeing B-757s Horizon Airlines (Western US); Bombardier Q400s Flybe (Europe); Bombardier Q400s and Embraer EMB195s AeroTech Research U.S.A., Inc.: Turbulence Auto-PIREP System (TAPS), licensed by WSI “As of January 2014, three WSI-client airlines (including American Airlines) were operating 465 Boeing and Airbus equipped with TAPS.” [Rosenkrans, W., 2014: Smooth Operators. AeroSafety World, 14-19.]

Turbulence Forecasting Graphical Turbulence Guidance (GTG3) Max Intensity CAT+MWT All Levels CAT+MWT Low Levels (GA Users) Explicit MWT Forecasts Graphical product; available on Aviation Digital Data Service (ADDS) https://www.aviationweather.gov/turbulence/gtg Forecast output in EDR with additional label of subjective intensity categories User selectable display for specific aircraft weight class (light, medium, heavy) Includes explicit forecasts for Mountain Wave Turbulence (MWT) Forecasts issued for 1,000 ft to FL 450 Low-level forecasts (1,000 – 10,000 ft) incorporated for use by General Aviation Hourly forecasts extend out 0-18 hours, updated hourly

Turbulence Forecasting Graphical Turbulence Guidance “Nowcast” Nowcast: Designed for use as a tactical turbulence avoidance product Rapid update cycle of 15 minutes, valid for next 15 minutes Outputs a 3D map of EDR, same grid as GTG3 Product received unanimous approval of Technical Review Panel comprised of FAA, NWS, and airline met representatives on 3/23/2016 Collaborative (FAA/DAL) operational validation begins late 2016 GTG3 2-hr fcst valid 1500UTC In situ EDR & PIREPs 1400-1500UTC GTGN valid 1500 UTC

Integration of Turbulence Information into NAS Operations In 2008, DAL approached FAA with proposal to jointly conduct “Proof of Concept” demonstrations, integrating automated turbulence information into airline flight operations. Dispatch Demo Sep 2008-Jan 2010 Focused on: Dispatchers Flight Operations Atlanta Air Route Traffic Control Center Weather Support Unit (CWSU) Flight crews did not have direct access to the data. Demo was strategic in nature, not tactical. Dispatch Demo Sep 08-Jan 10 Focused on: Dispatchers Flight Operations Atlanta Air Route Traffic Control Center Weather Support Unit (CWSU) Flight crews did not have direct access to the data. Demo was strategic in nature, not tactical.

Integration of Turbulence Information into NAS Operations In 2008, DAL approached FAA with proposal to jointly conduct “Proof of Concept” demonstrations, integrating automated turbulence information into airline flight operations. Dispatch Demo Sep 2008-Jan 2010 Focused on: Dispatchers Flight Operations Atlanta Air Route Traffic Control Center Weather Support Unit (CWSU) Flight crews did not have direct access to the data. Demo was strategic in nature, not tactical. Uplink Demo May 2013-Jul 2014 Operational flight demonstrations of the turbulence tablet with Line Check Airmen in the cockpit. Is it feasible to provide and displaying the information on the flight deck through existing WiFi link? What human factors considerations exist? Can we quantify the efficiency and capacity benefits to the NAS? Conclusion: Overwhelming approval by LCA. DAL recommends implementation airline-wide as supplementary information. Dispatch Demo Sep 08-Jan 10 Focused on: Dispatchers Flight Operations Atlanta Air Route Traffic Control Center Weather Support Unit (CWSU) Flight crews did not have direct access to the data. Demo was strategic in nature, not tactical.

Integration of Turbulence Information into NAS Operations Delta Air Lines Flight Weather Viewer Updated tablet application is now in use in the cockpit by over 12,000 DAL pilots through the GoGo WiFi network Depicts graphical views of forecast and actual turbulence along route of flight Greatly enhances cockpit situational awareness Reduction in ATC workload

Global Expansion of Program EDR Tech Transfer Package Development Under FAA Weather Technology in the Cockpit (WTIC) funding, NCAR is developing an EDR Technical Transfer (EDR TT) package that will allow airlines to more readily implement the EDR algorithm Both onboard data processing software and ground-based software to provide tuning and verification Testing is being done in collaboration with Delta Air Lines (B-777s) and Boeing Still a prototype, but maturing quickly

Current Efforts and Challenges NextGen and Weather Avoidance Fields Under the FAA’s NextGen program, weather information will be translated into weather avoidance fields for integration into decision support tools (for example, traffic flow management systems) Metron Aviation is developing a Turbulence Avoidance Model (TAM) for FAA which will produce avoidance fields generated using pilot behavior models Standardization The three major EDR algorithm implementations (NCAR, WSI, Panasonic) all use different computational methods; Industry needs assurance output is “operationally comparable” RTCA Special Committee 206, Aeronautical Information and Meteorological Data Link Services; drafting EDR Minimum Operational Performance Standards (MOPS) Data Access/Sharing EDR data is considered proprietary by the airlines and private commercial vendors Efforts underway to process and store the NCAR EDR data on National Weather Service’s MADIS system Potential for cost-sharing/more open data access agreements between the gov’t and airlines?

Summary Turbulence has pronounced effect on flight operations and air traffic management. The U.S. has growing turbulence and forecasting programs. U.S. airlines are beginning to incorporate the data into their operations and seeing real benefits. There are challenges ahead, but the future is promising and we are hopeful the programs can be expanded worldwide.