Weather Technology in the Cockpit (WTIC) – Enhancing Efficiency October 23, 2014 Gary Pokodner, WTIC Program Manager 1 Friends and Partners in Aviation.

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Presentation transcript:

Weather Technology in the Cockpit (WTIC) – Enhancing Efficiency October 23, 2014 Gary Pokodner, WTIC Program Manager 1 Friends and Partners in Aviation Weather FPAW)

Weather Technology in the Cockpit (WTIC) Program Description Research projects to develop, verify, and validate requirements for incorporation into Minimum Weather Service (MinWxSvc) standards FAR Part 121, OPERATING REQUIREMENTS: DOMESTIC, FLAG, AND SUPPLEMENTAL OPERATIONS (i.e. commercial operations) FAR Part 135, OPERATING REQUIREMENTS: COMMUTER AND ON DEMAND OPERATIONS AND RULES GOVERNING PERSONS ON BOARD SUCH AIRCRAFT (i.e. commuter, on demand, and air taxi operations) FAR Part 91, GENERAL OPERATING AND FLIGHT RULES (includes General Aviation operations) The MinWxSvc is defined as: Minimum cockpit meteorological (MET) information Minimum performance standards (e.g. accuracy) of the MET information Minimum information rendering standards

WTIC Program Benefit Objectives Enhance General Aviation (GA) safety by identifying and resolving risks before they become accidents Enable safe implementation of NextGen Operational Improvements (OIs) and advanced concepts (i.e. Interval Management) Resolve operational (current and NextGen) inefficiencies attributable to gaps in cockpit MET information Enhance pilot MET-training to enable effective and consistent adverse weather decision-making

Efficiency Shortfalls - Candidates Examples of efficiency shortfalls identified in the WTIC Concept of Operations (ConOps):  Lack of strategic weather information in cockpits leads to reactive decision making and unpredictability in the NAS  Lack of MET information (i.e. enhanced winds) to support trajectory based operations (TBO)  Excessive workload and voice communications due to pilot reports  Collaborative Airspace Constraint Resolution (CACR) program envisioned to end before aircraft takeoff could extend to airborne with enhanced MET information in the cockpit  Ground time to plan next flight could be reduced with in-flight graphical weather  Part 135 aircraft able to negotiate more favorable departure routes with enhanced weather information versus just forward looking radar 4

EDDY DISSIPATION RATE UPLINK DEMONSTRATION 5

WTIC – Eddy Dissipation Rate (EDR) Update Completed operational demonstration with Delta Airlines on cockpit display of EDR and Graphical Turbulence Guidance (GTG) Benefits assessment post demo – Benefits to aircraft and NAS to be assessed Developing technical transfer package 6 Picture of EDR viewer presentation

WTIC – Demonstration Drivers Safety Customer Experience Capacity = Delays Efficiency/Emissions  Inefficiencies due to turbulence include: Unwarranted altitude change requests Excessive fuel burn (emissions) due to flight at non-optimum altitude Excessive air space/altitude avoidance reducing capacity 7

WTIC – EDR/GTG Demo Preliminary Results Safety – Enhanced turbulence awareness based on pilot feedback Customer Experience – Enhanced due to more accurate turbulence status (cabin management) Capacity – Significant improvements indicated due to less airspace avoidance Efficiency/Emissions – Preliminary results show fewer altitude chances and less radio communications 8 EDR viewer showing route and cross section of turbulence

ADVERSE WEATHER ALERTING 9

MET Condition Prioritization Charts show preliminary WTIC priority ranking, by aircraft type, for developing an alerting function to potentially reduce the safety and efficiency impacts of various adverse weather conditions

Near Real Time Turbulence Alerting Function Provide near real time notification of impending turbulence encounter Alerting function primarily to assist with crew/cabin management Primarily addressing safety risks Plan to perform demonstration using NCAR’s NEXRAD Turbulence Detection Algorithm (NTDA)

Potential Efficiency Benefits - NTDA Decision support for en-route aircraft  Improve situational awareness, airspace utilization, and safety.  May help obviate the need for “pathfinder” aircraft after airspace closures Measurements may be assimilated into turbulence nowcasts May be used as verification “truth” data for turbulence forecasts 12

NTDA Alerting - Challenges Turbulence conditions change rapidly and too workload intensive to monitor radar information  Alerting may enable early notification resulting in reduced workload  Alert calculations, data linking, and rendering must not introduce significant latency  Alert lead time must be sufficient to allow for crew management and actions  False alarm rate must be low 13

Alert Use Case Candidate – Convection Alert to Supplement Arrival Planning 14 Flight to MIA Divert to MCO Thunderstorms at MCO Thunderstorms at FLL Arrival at MIA with low fuel Figures show Use Case based on real scenario of multiple diversions resulting from convection. Candidate convection alerting function may enable enhanced in-flight arrival planning.

Alert Candidate – Convective Weather 15 Graphic below shows a potential architecture for convective weather alerting function based on the convection Use Case

Alert Candidate – Convective Weather Weather Alert Enabled Decisions 16 Benefit – less diversions and unpredictability ALERT CHALLENGES - Trade off between detection and false Alarms - Low latency - Supports collaborative decision-making

CROWD SOURCING AND CLOUD COMPUTING 17

Cloud Computing and Crowd Sourcing DEFINITIONS  Crowd Sourcing – The practice of obtaining needed services, ideas, or information from a large group/source, typically via the internet, versus traditional suppliers  Cloud Computing – The practice of using a network of remote servers hosted on the internet to store, manage, and process data versus a local server or PC 18

Crowd Sourcing – Potential Efficiency Gains Reduce or eliminate manual verification of downlinked MET information or adverse weather conditions by “crowd sourced” validation Simpler algorithms to identify “bad” data Potential to enhance weather models via larger volume of input data Enhanced adverse weather information in proximate area for more effective adverse weather decision-making 19

Cloud Computing– Potential Efficiency Gains Enhanced access and dissemination of weather information Ability to quickly enhance crowd sourced weather information Reduced workloads resulting from cloud processing, trending, image processing, etc 20

WTIC Cloud Computing and Crowd Sourcing Service Analysis Attempt to develop one concept to illustrate benefits of cloud computing and crowd sourcing weather information  Determine metrics to assess benefits  Assess whether data can be readily obtained at low cost and minimal equipage/new technologies  Assess potential benefits of by algorithmic processing and trending  Estimate necessary memory and computing power Determine if trial implementation of storing, enhancing, and displaying Alaska weather cam images/video in the aircraft can demonstrate potential benefits 21

CONTACT INFORMATION GARY POKODNER, WTIC PROGRAM MANAGER