IMS4 ARWIS

(GRF Implementation view)

Pavol Nechaj Paris, 10-11 July 2019

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MICROSTEP-MIS

COMAPNY PROFILE

• 25 years of experience in environmental

monitoring (meteorology and climatology,

aviation weather systems, etc.)

• Monitoring and information systems in

60+ countries worldwide

• Certified ANSP (METAR/SPECI, TAF,

Aeronautical climatological information,

Briefing)

• Certificate of Competency to Perform

Research and Development

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SESAR

• MicroStep-MIS is an industry partner of LPS SR (part of B4 Consortium of Central European ANSP)

• Involved in four SESAR projects:

PJ.03b SAFE

Airport Safety Nets

PJ.04 TAM

Total Airport Management

PJ.05 RemTow

Remote Tower for Multiple Airports

PJ.18 4DTM

4D Trajectory Management

Single European Sky ATM Research

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• Address the most frequent type of runway safety accident (22 % of all accidents

over the 2010 - 2014 period according to IATA Safety Report)

• Mitigate the risk of runway excursion by on-board and ground systems that could

warn pilots, controllers or both when appropriate

• Enhance runway condition awareness for the Airport Operator using data

from the following sources:

• runway built-in sensors and other MET sensors

• weather-based runway condition model

• aircraft on-board sensors providing runway friction data.

• Expected implementation and compliance with GRF

Safety support tools for avoiding runway excursions

SESAR PJ03B-06

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• Airborne part

• ROAAS (Runway Overrun Awareness and Alerting System) validation for business aircraft by Dassault

• OBACS (On-board Braking Action Computation System) prototype (CORSAIR) by Airbus

• Ground part (RCAMS - Runway condition awareness management system)

• PANSA and UniWarsaw at Gdansk LW Airport

• LPS SR and MicroStep-MIS at Poprad-Tatry Airport (ARWIS)

• ADP at Paris CDG Airport

Safety support tools for avoiding runway excursions

SESAR PJ03B-06

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IMS4 ARWIS

• Continuous assessment of RWY surface

condition (Current RWYCC computation)

• Short term forecast of RWY condition

(Predicted RWYCC computation)

• Dissemination of RCR

• Operational alerts on:

• Deteriorated RWY condition detected or forecast

• System status (e.g. missing or erroneous data)

Airport Runway Weather Information System

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IMS4 ARWIS

Scheme

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IMS4 ARWIS

• Passive IRS31 Pro sensor (Runway

surface/sub surface temperature, water film

height, Deposit code and its description)

• Active ARS31 Pro sensor (Freezing

temperature)

• Continuous runway surface conditions

data

• Only point measurements (pair of sensors

per third of runway)

• Only some contaminant types

Runway condition sensors

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IMS4 ARWIS

• Air temperature

• Relative humidity (Dew point temperature)

• Precipitation• Precipitation indicator (precipitation/no

precipitation)• Disdrometer (type and intensity of

precipitation)• Rain gauge (1min value)

• Global radiation (Calculated cloud coverage)

• Wind direction and wind speed

• Pressure

MET sensors

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IMS4 ARWIS

Runway Forecast Model

NWP

model

RWY condition

sensors data

Runway Surface

Condition Model

Local MET

data

Runway Surface Condition Forecast

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IMS4 ARWIS

HMI

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IMS4 ARWIS

HMI – RCR & RWYCC

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IMS4 ARWIS

HMI – RWY surface condition graph

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IMS4 ARWIS

• Wind direction and speed (at both ends of runway)

• Air temperature

• Dew point temperature

• Global radiation

• Calculated Cloud Coverage (based on global radiation)

• Relative humidity

• Precipitation (1 min total)

HMI – MET data

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IMS4 ARWIS

Runway Condition Report Editor

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IMS4 ARWIS

• User configurable runway

surface alarms

• Combination of measured data

and forecasts

• Priorities from detected hazards

to forecast hazards

Operational Alerts

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IMS4 ARWIS

• Full RCAM scope = only human manual

inspections

• No fully-automated mode (human

validation of disseminated

information/RCR)

• Continuous consolidated data for RWY

condition assessment (whole year

round)

• Prediction of RWY surface condition

Conclusions & Next steps

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• Update of current ARWIS (RWYCC algorithm, RCR Editor)

• Complement decision tree and ML approach

• Integration of aircraft-based braking performance data

• Investigation of mobile sensors (e.g. for contamination coverage estimation)

• Further development of runway surface condition model

• MASPS for RWIS (EUROCAE WG-109)

Conclusions & Next steps

IMS4 ARWIS

MicroStep-MIS Head Office

THANK YOU!

Čavojského 1, 841 04 Bratislava, Slovak

Republic

Tel: +421 2 602 00 100, Fax: +421 2 602 00 180

info@microstep-mis.com