The French TALPA Trial Results of Winter
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1 The French TALPA Trial Results of Winter Hai PHAM DOAN Civil Aviation Technical Center Airport Infrastructures Department Division of Studies and Research Symposium on Assessment and Report of Runway Surface Conditions, 31 March Paris-DGAC Direction générale de l Aviation civile - Service technique de l Aviation civile 1
2 Airport Manager Type of contaminant Depth of Contaminant Friction coefficient Air Temperature, Surface Temp. Freezing Point Assessment TALPA Matrix (RCAM) Judgment Runway Condition Code Aircraft Performance at Landing or Take-Off Braking Action... 2
3 THE FRENCH TALPA TRIAL Purpose: To determine the correlation between braking action assessed by airport operators (through RWYCC) and braking action reported by pilots (through PIREPs), in relation to local contaminants and weather in France. Methodology: by collecting runway inspection data from airport operators and air traffic controllers With whom: 12 French Airports (2 overseas) When: during 3 winters between 2014 and 2017 (period from November to April) Direction générale de l Aviation civile - Service technique de l Aviation civile 3
4 12 PARTICIPATING AIRPORTS LFPG LFST Overseas territories LFRN LFRK LFPO LFSB TFFF LFVP LFLL LFLW LFKJ LFML 4
5 METHODOLOGY Airport Sheet Air Controller Sheet Type and Depth of Contaminant PIREP Runway Condition Code Consistency? PIREP Good... Poor
6 AIRPORT SHEET Airpo rt Dat e Loc a l time Oper ator Piste % of contamination C o n t a m i n a n t depth (mm) Type of contaminant Air Temperature Mu (<1) Information E 1 E 2 E 3 H 1 H 2 H 3 C 1 C 2 C 3 T 1 T 2 T 3 M1 M2 M3 6
7 AIR CONTROLLER SHEET Date (JJ/MM/ AAAA) Local Time (HH/ MM) Flight Nuber Type of aircraft Airline Company Runway PIREP* Information 7
8 ANALYSIS OF PAIRS Airport-based information (Runway inspector) Example : time interval of 60 minutes Airborne information on the braking performance (Pilot) Time RWYCC Time PIREP 08: : : : : : : :20 3 8
9 Results Winter Journée technique du STAC
10 NUMBER OF PAIRS AS A FUNCTION OF TIME INTERVAL Interval (min) RWYCC- PIREPs pairs
11 RESULTS 1000 Runway reports (RWYCC) Time interval : 60 min 307 PIREPs 91 Pairs All airports 11
12 Frequency of PIREPs North- West North- East Airport 12
13 FREQUENCY OF PIREPS, EXCLUDING GOOD Frequency % Good to Medium Medium Medium to Poor Poor Less than Poor PIREP 13
14 RWYCC VS. PIREPS RWYCC is lower than PIREP: the assessment of braking action by the pilot is better than the assessment provided by runway inspector RWYCC is higher than PIREP : the pilot assesses conditions as worse than the runway inspector RWYCC is equal to PIREP : the pilot has the same assessment as the runway inspector Direction générale de l Aviation civile - Service technique de l Aviation civile 14
15 CORRELATION BETWEEN RWYCC AND PIREPS (XP FRANCE) TALPA Matrix is conservative in 72% of cases 11% 61% = 28% < > 15
16 CORRELATION BETWEEN RWYCC AND PIREPS (XP USA) TALPA Matrix is conservative in 89% of cases 29% 60% 4% < = > 16
17 ENCOUNTERED CONTAMINANTS (XP FRANCE) EXCLUDING DRY Wet runway, slush, snow less than 3mm 90% Dry snow or wet snow more than 3mm etc... Ice 1% 2% 1% 4% 0% RWYCC
18 ENCOUNTERED CONTAMINANTS (XP USA) EXCLUDING DRY Wet runway, slush, snow less than 3mm 67% Dry snow or wet snow more than 3mm etc... Ice 23% 1% 8% 1% 0% RWYCC
19 ENCOUNTERED CONTAMINANTS EXCLUDING DRY (XP FRANCE VS XP USA) Wet runway, slush, snow less than 3mm 90% Dry snow or water more than 3mm etc... Ice 1% 2% 1% 4% 0% RWYCC
20 70 DISCREPANCIES RWYCC-PIREPS in 80% of cases, difference is less than 1 point (-1,0,+1) 40 % 30 Safe 61 Not safe Différence RWYCC-PIREP 15 RWYCC 5 - PIREP 3 essentially 9 RWYCC 5 - PIREP 2 essentially 3 20
21 Frequency (%) DISCREPANCIES RWYCC-PIREPS (XP ITALY VS XP FRANCE) Nota : UK trial showed «a better than 60% correlation» (Notice CAA-UK, 12/1/2015, para. 2.4) XP ITALIE XP FRANCE Difference 21
22 70 XP FRANCE VS. XP ITALY Pourcentage of pairs XP Italie XP France RWYCC inf. PIREP RWYCC=PIREP RWYCC sup. PIREP 22
23 CONCLUSION 72% of RWYCC matched or were lower than PIREP (conservatives data) But relatively small number of data and pairs and few contaminants encountered (mild winter) Discrepancies RWYCC-PIREPs in case of water (difficulties for pilots to assess braking performances) Difficulty of pilots to perform braking action that were correlated with PIREP in WET conditions The consistency of the matrix has to be studied with ICE, DRY SNOW and WET SNOW STAC will pursue the trial during winters and Direction générale de l Aviation civile - Service technique de l Aviation civile 23
24 For any question about the French TALPA Trial, please contact: Hai PHAM DOAN Service technique de l aviation civile Département Infrastructures aérportuaires Division Etudes et recherche hai.pham-doan@aviation-civile.gouv.fr phone number : +33 (0) Direction générale de l Aviation civile - Service technique de l Aviation civile 24
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