presented to: japanese meteorological agency by: tammy farrar weather policy and requirements group...
TRANSCRIPT
Presented to: Japanese Meteorological Agency
By: Tammy Farrar
Weather Policy and Requirements Group
Date: March 24, 2009
Federal AviationAdministrationAviation Weather
Office
FAA and In Situ Observations
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FAA and In Situ ObservationsMarch 24, 2009
FAA and In Situ Observations• In Situ Utilization Today
– Operations• ITWS
– Research• AWRP
• Next Gen Implications– Overview– Major Programs With In Situ Implications
• NNEW• RWI• WTIC
• Questions?
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FAA In Situ Utilization TodayOperations
Integrated Terminal Weather System (ITWS)
• Fully automated, integrated terminal weather information system.
• Provides current conditions / forecasts (up to 60 min) of terminal weather
• Accurate, easy-to-understand, and immediately useable graphical weather information on a single, full color display
• Uses sophisticated algorithms to integrate data from FAA and NWS sensors, radars, weather models, and from aircraft in flight
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ITWS
Pilots
Controllers
Aircraft (MDCRS)Lightning
ASR
LLWAS
ITWS
AWOS/ASOS
TDWR NEXRAD
Supervisors-TRACON- ARTCC TMU- CWSU
Airlines- Dispatch- Ramp Tower
ITWSReal-TimeProcessor
1-hr ForecastMicroburst PredictionGust Front Prediction
Storm Location & MotionStorm Cell Information
Terminal WindsTornado
RUC
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FAA In Situ Utilization TodayOperations
Integrated Terminal Weather System (ITWS)• Users:
– Air Traffic personnel in the Air Traffic Control Tower (ATCT) and Terminal Radar Control (TRACON) facility
– Traffic Management and Center Weather Service Unit personnel in the Air Route Traffic Control Center (ARTCC)
– Air Traffic Control Systems Command Center (ATCSCC), airport authorities, airline dispatch offices and other Users (i.e. airlines)
• Authorized FAA & non-FAA users have internet access to ITWS products
• ITWS products will be made compatible with NextGen requirements
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FAA In Situ Utilization TodayResearchAviation Weather Research Program (AWRP)• Plans and conducts research, development of new weather capabilities and technologies to meet current and future aviation needs.
•Turbulence Research Team improving detection of en route turbulence
• Developed Eddy Dissipation Rate (EDR) algorithms
• Accelerometer-based algorithm in UAL a/c; improved winds-based algorithm on DAL a/c, in process of implementing on SWA a/c
• EDR data displayed on Aviation Digital Data Service (ADDS)
• FY09/10: Yearlong demonstration with DAL to investigate the benefits of EDR to NAS capacity/safety and airline operations
• QC’d EDR data displayed on Earth Systems Research Laboratory (ESRL) Global Systems Division (GSD) AMDAR display
• EDR integrated into the Graphical Turbulence Guidance (GTG-2) product, soon to be operational
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Graphical Turbulence Guidance (GTG)• Based on RUC NWP model
– GTG1• Upper-level CAT (>FL200) • Operational on ADDS since 3/2003• http://adds.aviationweather.noaa.gov
– GTG2• Clear-air sources 10,000 ft MSL-FL450 • On Experimental ADDS since 11/2004• Will replace GTG1 on operational ADDS in 2009
– Uses a combination of turbulence diagnostics, merged and weighted according to current performance (pireps, EDR)
• Current work areas– Probabilistic forecasts of moderate-or-greater (MOG) and severe-or-greater
(SOG) turbulence– Optimal use of insitu reports– Assimilation of turbulence-related observations
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Ellrod1
DTF3
FRNTGth
VWS
UBF
Ri
CLIMO
TEMPG
- NVA
NCSU1
NCSU2
EDRS10
GTG
GTG =Weighted ensemble of turbulence diagnostics
0 h forecast valid at 22 Sep 2006 15Z
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Graphical Turbulence Guidance (GTG)
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Graphical Turbulence Guidance (GTG)Based on RUC, GFS, or WRF NWP
forecasts
Current work areas include:
Optimal use of in situ reports
Probability of Moderate Or Greater, Severe Or Greater > some EDR threshold
Global applications (global GFS, regional WRF)
Incorporate satellite-based feature detectors
Output expected to populate the SAS of the NextGen 4D Weather Data Cube
deterministic
AIREPs
Ude
Elevated Ude
UAL In situ edr
Probability > moderate
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Next Generation Air Transportation System (NextGen)
Ground-based Navigation and Surveillance
Air Traffic Control Communications By Voice
Disconnected Information Systems
Air Traffic “Control”
Fragmented Weather Forecasting
Airport Operations Limited By Visibility Conditions
Forensic Safety Systems
Today’s National Airspace System NextGen
Satellite-based Navigation and Surveillance
Routine Information Sent Digitally
Information More Readily Accessible
Air Traffic “Management”
Forecasts Embedded into Decisions
Operations Continue Into Lower Visibility Conditions
Prognostic Safety Systems
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NextGen Aviation Weather
Today• Not integrated into aviation decision-
support systems (DSS)• Inconsistent/conflicting weather
information• Low temporal resolution (for aviation
decision making purposes)• Updated by schedule• Fixed graphic or text product
formats• Inconsistent access• Disjointed point-to-point
communications• Human intensive processing
NextGen• Totally integrated in DSS
• Nationally consistent weather information
• High temporal resolution
• Updated by events/situation• Interactive data formats
• Universal common access• Net-enabled information connection
• Increased machine to machine communications
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NextGen Network Enabled Weather (NNEW)
• The 4-D Weather Cube will provide common, universal access to aviation weather data.
• Improved weather data (observations & forecasts) available from the 4-D Weather Data Cube will improve traffic management capability and reduce delays.
• Provide Single Authoritative Source (SAS) of weather information for all users.
• Provide access to weather information indexed by aircraft and weather type.
• Reduce the need for human interpretation of data by direct machine-to-machine access & integration in decision support tools.
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NextGen and the 4-D Weather Cube
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Reduce Weather Impact (RWI)•A portfolio of NextGen capability improvements to mitigate the effects of weather in future NAS operations.
•Provide consistent weather information that will support more effective and timely decision making through the use of automated decision support tools.
NWP
NLDN Lightni
ngNOAA GOES
Satellites
MDCRS RUC Model Forecasts
Advanced Weather Forecasts & Legacy Applications
Integrated into user
systems and DSTs
…e.g., URET, RAPT, TFMS
Meteorologist
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Reduce Weather ImpactTwo major elements:
Weather Forecast Improvements• Integrate weather information tailored for Decision Support Tools (DSTs)
and systems into NextGen operations
• Implement improved forecasts by transitioning advanced capabilities from aviation weather research
• Develop metrics to evaluate the effectiveness of weather improvements in the NAS
• Develop probabilistic forecasts which can be used for traffic flow management
• Determine the most effective solution for a processor architecture to support these capabilities
• Propose recommendations for transitioning FAA legacy weather systems into NextGen.
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Reduce Weather Impact
Two major elements:
Weather Observation Improvements• Optimize the weather sensor network to eliminate redundancy
and inconsistencies among sensor types, configurations, and ground infrastructure reducing cost and improving performance
• Determine the right sensor mix among ground-based, satellite, and airborne atmospheric sensor networks
• Improve the resolution of the weather sensor network
• Effort being worked jointly with government, industry, and academic agencies
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Weather Technology in the Cockpit (WTIC)
• A portfolio of related research and development (R&D) activities to
ensure the adoption of cockpit, ground, and communication
technologies, practices, and procedures that will:
– Provide pilots with shared and consistent weather information to
enhance common situational awareness
– Provide airborne tools to exploit the common weather picture
– Utilize the “aircraft as a node” functions to autonomously exchange
weather information with surrounding aircraft and ground systems
– Facilitate integration of weather information into cockpit NextGen
capabilities (e.g. Trajectory Based Operations)
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Weather Technology in the Cockpit (WTIC)
A/C Comm Links
A/C Comm Links
Building 2
Building 2
Network Service Provider
Wx Ground ProcessorsATM Wx User I/O Devices
Aircraft Transceivers
Airborne Processor
Aircraft Type & Equipage
Navigational Information
Traffic Information
Human Machine Interface
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QUESTIONS?
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Back-up Slides
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Corridor Integrated Weather System (CIWS)
• Background– CIWS is an automated weather processing system that ingests
weather sensor and model data to generate a suite of convective weather forecast (0 – 2 Hr) products for the northeast corridor.
• CIWS does not incorporate airborne sensor data
• Integration of CIWS products with Traffic Flow Management Decision Support Tools
• CIWS functionality will be component in NextGen Weather Processor
– CIWS products are currently disseminated to 15 FAA facilities (ATCSCC, ARTCCs, TRACONs), airlines operations centers, and several R&D organizations.
– CIWS was developed, operated and maintained by MIT Lincoln Laboratory
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Corridor Integrated Weather System (CIWS)
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Corridor Integrated Weather System (CIWS)Graphical Coverage
2007 Coverage Area
Current Coverage Area
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Corridor Integrated Weather System (CIWS)Display
Base Products
Additional Products
Loop Controls
System Menus
Color Bars
View Menu
• Product Status Button colors:– White: the product is not displayed– Green: the product is displayed– Yellow: the product is displayed but filtered– Red: the product is unavailable
• Left-click to toggle; right-click for menus
Base Product Forecast
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ITWS-How does it fit into the NAS?
• ITWS is integrated into the FAA’s Strategic Management Plan
• ITWS helps fill the performance gap identified in the FAA’s Greater Capacity goal:– Objective 1: Increase airport capacity to meet projected demand– Strategy 1: Improve technologies to make air traffic flow more
efficiently during periods of adverse weather
• ITWS provides significant economic benefits in airline operations efficiencies and passenger time savings– Estimated benefits to cost ratios as high as 19.8:1
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Graphical Turbulence Guidance (GTG)Based on RUC, GFS, or WRF NWP forecasts
Current work areas include:
Optimal use of in situ reports
Probability of Moderate Or Greater, Severe Or Greater > some EDR threshold
Global applications (global GFS, regional WRF)
Incorporate satellite-based feature detectors
Output expected to populate the SAS of the NextGen 4D Weather Data Cube
Dr. Bob [email protected]
deterministic
AIREPs
Ude
Elevated Ude
UAL In situ edr
Probability > moderate