Boom of airport capacity based on wake vortex hasards mitigation sensors and systems

Similar documents
SESAR P Project WVDSS First XP1 CDG Trials Results

Radar 3D Monitoring of Wake-Vortex Hazards, Circulation and EDR Retrieval/Calibration

Aircraft Wake Vortex State-of-the-Art & Research Needs

Additional capacity with Machine Learning. ART meeting Bretigny Bob Graham & Floris Herrema

Radar/Lidar Sensors for Wind & Wake-Vortex Monitoring on Airport: First results of SESAR P XP0 trials campaign at Paris CDG Airport

Aircraft Wake Vortex State-of-the-Art & Research Needs

A Simple Wake Vortex Encounter Severity Metric

New concepts to prevent excursions or the consequences of excursions Frédéric BARBARESCO THALES AIR SYSTEMS FP8 Future Sky Safety Project / WP3.

Modeling of Radar Signatures of Wake Vortices in Rainy weather

Wake vortex severity assessment a core element of the safety case. German Aerospace Center DLR

Gerben van Baren, Lennaert Speijker, Peter van der Geest.

System Wide Information Management. Peder Blomqvist (LFV) Xavier Jourdain (Thales)

Automated Braking Action Report for assessment of the Runway Condition Code

Advances in weather and climate science

The gains of an aligned weather impact management. Tzvetomir BLAJEV, NM Safety Unit

Deutscher Wetterdienst

Optimising Runway Throughput through Wake Vortex Detection, Prediction and decision support tools

WWRP Implementation Plan Reporting AvRDP

RECAT-EU proposal, validation and consultation

NextGen. NextGen Weather - An FAA Overview. Presented by: Mary M. Cairns NextGen Reduce Weather Impact Solution Set Coordinator Date: July 21, 2010

FLYSAFE meteorological hazard nowcasting driven by the needs of the pilot

Weather in the Connected Cockpit

Meteorology in Continuous Descent Operations

Future Aeronautical Meteorology Research & Development

A novel machine learning model to predict abnormal Runway Occupancy Times and observe related precursors

Montréal, 7 to 18 July 2014

AERODROME METEOROLOGICAL OBSERVATION AND FORECAST STUDY GROUP (AMOFSG)

Translating Meteorological Observations into Air Traffic Impacts in Singapore Flight Information Region (FIR)

A Novel Framework to Assess the Wake Vortex Hazards Risk Supported by Aircraft in En Route Operations

Weather management what s new?

Wake vortex severity criteria The search for a single metric

SESAR vs MET. Bart Nicolai CAeM ET-ISA Core Expert Geneva, 23 May 2017

New Meteorological Services Supporting ATM

Radar Sensors for Wind & Wake-Vortex Monitoring on Airport : First results of SESAR P XP0 trials campaign at Paris CDG Airport

Evolving Meteorological Services for the Terminal Area

Welcome to the Public Meeting Red Bluff Road from Kirby Boulevard to State Highway 146 Harris County, Texas CSJ No.: December 15, 2016

Recap of the NTSB PIREP Forum: Optimizing Safety Benefits for Pilots, ATC, and Meteorologists. Paul Suffern NTSB Meteorologist

HIGH DENSITY EN ROUTE AIRSPACE SAFETY LEVEL AND COLLISION RISK ESTIMATION BASED ON STORED AIRCRAFT TRACKS

WakeNet3-Europe. Zhongxun Liu. Southampton, UK May 11th, National University of Defense Technology, China University of Toulouse, ISAE, France

Network Severe Weather Programme

WMO Aviation Research Demonstration Project (AvRDP) and Seamless Trajectory Based Operation (TBO) PW Peter Li

Montréal, 7 to 18 July 2014

Pilot briefing ENTC - Tromsø airport, Langnes

International Civil Aviation Organization

Validation Chain for ATM Concepts

WMO Aeronautical Meteorology Scientific Conference 2017

A L A BA M A L A W R E V IE W

and SUMMARY preliminary parameters. 1.1 MET/14-IP/ /15 In line 1.2 WORLD INTERNATIONAL CIVIL AVIATION ORGANIZATION 2/6/14 English only

July 13, 2017 Session #1 In Lieu of the Surface Observation Including EWINS Authority, RTMA, Web Cams, and Remote Observation Systems

1.1 ATM-WEATHER INTEGRATION AND TRANSLATION MODEL. Steve Bradford, David J. Pace Federal Aviation Administration, Washington, DC

Guidance on Aeronautical Meteorological Observer Competency Standards

Do Vortices Behave Differently Under Non-Lidar-Friendly Weather?

NINTH MEETING DISPLAY IN ATS UNITS. (Presented SUMMARY

Comprehensive Winter Maintenance Management System BORRMA-web MDSS inside to increase Road Safety and Traffic Flow

USE OF GROUND BASED WEATHER RADAR DATA IN AIR TRAFFIC MANAGEMENT PROCEDURES

4D TRAJECTORY BASED OPERATION IN HIGH DENSITY TERMINAL CONTROL AREA CONSIDERING THE UNCERTAINTY OF WEATHER FORECAST DATA

JAA Administrative & Guidance Material Section Five: Licensing, Part Two: Procedures

Progress in Aviation Weather Forecasting for ATM Decision Making FPAW 2010

Weather Information for Europe 3 May 2018

Probabilistic Winter Weather Nowcasting supporting Total Airport Management

Gleim Private Pilot FAA Knowledge Test 2015 Edition, 1st Printing Updates July 2015

A SMART SYSTEM FRAMEWORK ENABLING AN INNOVATIVE WEATHER AWARENESS SYSTEM FOR AIRPORTS AND BEYOND

9B.2 THE NEXT GENERATION AIR TRANSPORTATION SYSTEM WEATHER CONCEPT OF OPERATIONS

Weather Vision: Past, Present, Future. Joint Planning and Development Office (JPDO) Weather Integrated Product Team

INTEGRATING IMPROVED WEATHER FORECAST DATA WITH TFM DECISION SUPPORT SYSTEMS Joseph Hollenberg, Mark Huberdeau and Mike Klinker

Deputy Director for Science NCAR Aviation Applications Program

Traffic Flow Management (TFM) Weather Rerouting Decision Support. Stephen Zobell, Celesta Ball, and Joseph Sherry MITRE/CAASD, McLean, Virginia

INTEGRATING IMPROVED WEATHER FORECAST DATA WITH TFM DECISION SUPPORT SYSTEMS Joseph Hollenberg, Mark Huberdeau and Mike Klinker

WIND PREDICTION TO SUPPORT REDUCED WAKE SEPARATION STANDARDS FOR CLOSELY SPACED PARALLEL RUNWAY DEPARTURES

Complexity Metrics. ICRAT Tutorial on Airborne self separation in air transportation Budapest, Hungary June 1, 2010.

Software Architecture. CSC 440: Software Engineering Slide #1

Use of lightning data to improve observations for aeronautical activities

WMO Aeronautical Meteorology Scientific Conference 2017

UFO Database. UFO Dissemination Workshop 23/04/2015. NLR, Amsterdam. Oleg A. Krasnov and the UFO team

AOPA. Mitigating Turbulence Impacts in Aviation Operations. General Aviation Perspective

Weather Technology in the Cockpit (WTIC) Program Program Update. Friends/Partners of Aviation Weather (FPAW) November 2, 2016

Aviation in a dual role: Mitigation

Meteorological CLEAR BUT PRESENT DANGER

NextGen Update. Cecilia Miner May, 2017

[EN-A-083] Potential Benefits of Speed Control on Delay and Fuel Consumption

WORLD METEOROLOGICAL ORGANIZATION AFRICAN CONFERENCE ON METEOROLOGY FOR AVIATION (ACMA -2018)

Sources of Weather Datalink (Mode-S EHS, ADS-B) & Radar/Lidar Data Ingestion in High Resolution Forecast Models Meiko Steen, Thomas Feuerle (TUBS)

Terminal Domain Decision Support. Jim Evans MIT Lincoln Lab. Tom Davis

Weather Integration for Strategic Traffic Flow Management

Synthetic Weather Radar: Offshore Precipitation Capability

Traffic and Weather. Soaring Safety Foundation. Tom Johnson CFIG

Automated in-situ Turbulence reports from Airbus aircraft. Axel PIROTH

Learning. Goals. of pressure. aircraft. Altimeter knob. Page 1 of 8. Document : V1.1

THIS PAPER addresses the decoupling of conflictresolution

METEOROLOGY PANEL (METP) WORKING GROUP- METEOROLOGICAL OPERATION GROUP (MOG) FIRST MEETING

Verification for Terminal and En-route Weather Forecasts and TFM Decisions

c. What is the average rate of change of f on the interval [, ]? Answer: d. What is a local minimum value of f? Answer: 5 e. On what interval(s) is f

Evaluation of Collaborative Rationing of En Route Resources. Josh Marron, Antonio Abad Bill Hall, Francis Carr, Steve Kolitz 25 Sept 2003

IMS4 ARWIS. Airport Runway Weather Information System. Real-time data, forecasts and early warnings

Strengthening the CDM triad: A view from the cockpit

8.7 Calculation of windshear hazard factor based on Doppler LIDAR data. P.W. Chan * Hong Kong Observatory, Hong Kong, China

HEIGHT ALTITUDE FLIGHT LEVEL

Implementation Guidance of Aeronautical Meteorological Observer Competency Standards

Probabilistic Wake Vortex Decay Model Predictions Compared with Observations of Four Field Measurement Campaigns

En-route aircraft wake vortex encounter analysis in a high density air traffic region

Transcription:

AUN2014 : Airports in Urban Networks 15-16 Apr2014 CNIT -Paris la Défense(France) Boom of airport capacity based on wake vortex hasards mitigation sensors and systems JUGE, Philippe, philippe.juge@thalesgroup.com*, THALES, France BARBARESCO, Frédéric, THALES, France BRETON, Hervé, THALES, France STS N

AGENDA Set up the scene What has been done What is to be done Enlarge the picture Questions AUN2014 Paris 15-16 avril 2014 2

Setup the scene Operational context: Gradual increase of traffic Airport capacity: limited number of runways Airspace design and route structure: organisation already optimised Effects Congestions in Terminal Area Airport become a bottleneck, delaying flights Holding is a common occurrence for traffic (ARR/DEP) AUN2014 Paris 15-16 avril 2014 3

Setup the scene Upcoming operational issues for airports High density of traffic during rush hours More dense mixed traffic pressure during rush hours (A380, B747-8) Conservative Wake-Vortex Separation on the glide Fixed ICAO Wake-Vortex Separation Downgraded RWY capacity in adverse weather conditions Extended Runway Occupancy Time (e.g. 80 s for A380 vs. 55 s for B747 AUN2014 Paris 15-16 avril 2014 4

Wake vortex hazards Wake-Vortex Hazards: Safety Issues Enquiry have shown that highest occurrence of wake-vortex encounters are: At the touchdown (behind 100 feet in altitude) At Turn onto glideslope (between 3500-4500 feet in altitude) Severe wake-vortex encounters mainly occur under 500 feet in altitude Impact of wake-vortex encounter on follower aircraft is Roll Angle Due to flying command limits, critical Wake-Vortex Encounter is at low altitude during final approach and Initial Climb phases Roll angle induced by wake-vortex :Critical at altitude AUN2014 Paris 15-16 avril 2014 5

Wake vortex encounters AUN2014 Paris 15-16 avril 2014 6

What has been done SESAR projects (P06.08.01&P12.02.02) Operational needs System definition On field trial campaigns (2011, 2012) UFO project Sensors improvement Ongoing on field trial campaign ICAO evolution RECAT 1, 2 & 3 concepts AUN2014 Paris 15-16 avril 2014 7

Wake Vortex Decision Support System M e t. C e ntre E x tern al W e a th e r O bs erva tio n s IN T -E X T -M E T R u n w a y W ak e V orte x D e tec tio n, P re d ic tio n a n d dec isio n su p p o rt to o ls Lo c a l M e t. S e n s ors A n e m o m e te rs S O D A R U H F W in d P ro file r IN T -IT W S -1 IN T -L W F -1 L oc a l W ea the r N o w c a s t & F o re c as t M H R P S IN T -L W F -2 IN T -L W F N - 1 T u rb ule n c es C alc ula tio n W e a th e r L ID A R P ro file r W e a th e r L ID A R S c a n n e r X B a n d R a d a r L o c a l W e a th e r D a ta C u b e IN T - W V A S -1 IN T - W V A S -2 H M I In p u t / O u tp u t S up e r v is o r R a da r F ro n t- E n d Lid ar F ron t- E nd IN T - W V D E T -1 E le c tro n ic -sc a n R a d ar 1.5 µm W V L id a r IN T - W V D E T -2 R a d ar W ake P roc e s s ing L id ar W ake P roc e s s ing IN T - W V D E T -4 W ake V o rte x S e n s o rs IN T -W V D E T -3 IN T - W V D E T -6 W a ke P lo ts T ra c kin g IN T -A T C S -2 IN T - W V D E T -5 S e pa ra tio n M o d e P la nn er W a ke V orte x P re dic tor M o nitorin g & A lertin g W a ke V o rtex A d v is o ry S ys tem IN T -A T C S -1 IN T - W V A S -3 IN T - W V A S -4 Ap proach T o w e r A T C & A irport S yste m s IN T -A T C S -3 A ircra ft C h arac teris tic s + 4D trajec to ry AUN2014 Paris 15-16 avril 2014 8

3D wake vortex monitoring AUN2014 Paris 15-16 avril 2014 9

RECAT expected benefits Procedure Procedure Weather B0-WAKE B1-WAKE B2-WAKE RECAT 1 RECAT 2 RECAT 3 AUN2014 Paris 15-16 avril 2014 10

What is to be done SESAR projects (P06.08.01&P12.02.02) Updated operational needs and system Validation exercises (2014& 2015) Long term trial campaign (2014-2015) ICAO evolution RECAT 1 deployment support RECAT 2 integration (AMAN, DMAN, WVDSS) RECAT 3 concept evolution AUN2014 Paris 15-16 avril 2014 11

What is to be done SESAR projects (P06.08.01&P12.02.02) Updated operational needs and system Validation exercises (2014& 2015) Long term trial campaign (2014-2015) ICAO evolution RECAT 1 deployment support RECAT 2 integration (AMAN, DMAN, WVDSS) RECAT 3 concept evolution AUN2014 Paris 15-16 avril 2014 12

Current Thales solution High Resolution Weather Forecast Model for Airport Weather Forecast Model providing weather profils in the glide (1 profil every 0.5 NM) X-band Radar (Airport Watcher) LIDAR Ultra Fast (< 10 s) Airport Wake- Vortex/Wind Monitoring Sensors Radar/Lidar Wake-Vortex Sensors on final approach (alt. < 100 m) and on runway Radar/Lidar Wind/EDR Sensors on the Glide until 5 NM range (alt. < 500 m) AUN2014 Paris 15-16 avril 2014 13

Current Thales solution Wake-Vortex Decision Support System (WVDSS) Wake-Vortex Decision Support System Dynamic Separation Regulation in the glide by Automation System to reduce buffers New Generation AMAN with Optimal Sequencing AMAN Maestro taking into account RECAT separations for optimized sequencing New procedures for sequence optimization (e.g. Point merge) Wake-Vortex Constrained AMAN AUN2014 Paris 15-16 avril 2014 14

Enlarge the picture Today s offer Tomorrow s offer Sensors TopSky Safety Nets Maestro SCANSIM TopSky- Tower TopSky-ATC RECAT WV predicto r & detectio n Point- Merg e MET infos & foreca st BTV tool for ROT Reductio n WV Decision Support System (+ SAFETY Net) WV Separatio n on AMAN/ DMAN Airport Runway Capacity Booster Technologies Solutions Answer AUN2014 Paris 15-16 avril 2014 15

Questions? AUN2014 Paris 15-16 avril 2014 16