Aviation Weather Office. FAA and In Situ Observations. 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?. FAA In Situ Utilization Today Operations.
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Aviation Weather Office FAA and In Situ Observations
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?
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
ITWS Pilots NEXRAD TDWR ASR 1-hr Forecast Microburst Prediction Gust Front Prediction Storm Location & Motion Storm Cell Information Terminal Winds Tornado ITWS Real-Time Processor ITWS Controllers AWOS/ASOS RUC Supervisors • TRACON • ARTCC TMU • CWSU Airlines • Dispatch • Ramp Tower LLWAS Aircraft (MDCRS) Lightning
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
FAA In Situ Utilization TodayResearch Aviation 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
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
- NVA UBF FRNTGth DTF3 Ellrod1 Ri NCSU1 CLIMO NCSU2 GTG TEMPG EDRS10 VWS GTG =Weighted ensemble of turbulence diagnostics 0 h forecast valid at 22 Sep 2006 15Z
UAL In situ edr AIREPs deterministic Ude Elevated Ude Probability > moderate 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
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 Today’s National Airspace System 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 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 NextGen Aviation Weather
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.
NLDN Lightning NOAA GOES Satellites MDCRS RUC Model Forecasts Integrated into user systems and DSTs …e.g., URET, RAPT, TFMS Meteorologist Advanced Weather Forecasts & Legacy Applications NWP 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.
Reduce Weather Impact Two 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.
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
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)
Human Machine Interface Aircraft Type & Equipage Airborne Processor Navigational Information Traffic Information Aircraft Transceivers A/C Comm Links A/C Comm Links Wx Ground Processors ATM Wx User I/O Devices Network Service Provider Weather Technology in the Cockpit (WTIC)
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
Current Coverage Area 2007 Coverage Area Corridor Integrated Weather System (CIWS)Graphical Coverage
Corridor Integrated Weather System (CIWS)Display Color Bars System Menus • 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 Loop Controls Additional Products Base Products View Menu Base Product Forecast
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
UAL In situ edr AIREPs deterministic Ude Elevated Ude Probability > moderate 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 Sharman firstname.lastname@example.org 303-497-8457