Pavol Nechaj WATMC 2020, Madrid
INTRODUCTION
BACKGROUND • Adverse weather negatively affecting all aviation stakeholders (airport operators, ground handles, air traffic controllers, airspace users) • Common situation awareness needed in order to mitigate the impact of adverse weather on airport operations
››› SESAR Project | Pj04 Total Airport Management • Development of AAWDSS System • Cooperation with LPS SR • Validation at Bratislava Airport in February 2019 Advanced Aviation Weather Decision Support System
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Advanced Aviation Weather Decision Support System
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Advanced Aviation Weather Decision Support System
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Advanced Aviation Weather Decision Support System
ATC FORECAST SCREEN
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Advanced Aviation Weather Decision Support System
AAWDSS SCREEN 1
Time scale of forecast (current operations, short-term plan, long-term plan)
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Airport stakeholder (customized weather parameters, alert thresholds etc.)
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Runway selection (for runway specific weather parameters, e.g. tailwind/crosswind)
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Advanced Aviation Weather Decision Support System
Current operations • Informs the user about current state of the significant meteorological phenomena, forecast of these phenomena (nowcasting) as well as short history for these phenomena (in order to see the trend). • Current data as well as history of the phenomena are gathered from standard AWOS and METAR/SPECI messages. • For 2-hour nowcast system integrates TREND messages (if no TREND message is available then TAF message is used), INCA-nowcast, optionally also radar information as well as satellite data. • Input data used for nowcast generation are configured to customer’s specifications. Advanced Aviation Weather Decision Support System
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Current operations
History of the phenomena 13
Current time
1-hour forecast
Advanced Aviation Weather Decision Support System
Short-term plan • Short term plan screen contains forecast of significant meteorological phenomena for the
next 24 hours starting from current time in 1-hour time step (capacity planning, scenario evaluations). • Principle inputs into short term forecast of significant phenomena are TAF and TREND
messages, local mesoscale numerical weather prediction models (Aladin) and optionally also radar information, satellite data. • Input data used for short term plan generation are configured to customer’s specifications.
Advanced Aviation Weather Decision Support System
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Short-term plan
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Advanced Aviation Weather Decision Support System
Long-term plan • Serves for long-term forecast of significant phenomena at the airport. • Forecast always starts from the next day (00-06 forecast time) from the observation time. • First three days of the forecast are represented with 6-hour time step. (00-06, 06-12, 12-18 and 18-00). These intervals exclude phenomena occurring in the last hour of the interval. • Forecast for first three days is generally more accurate thanks to local mesoscale numerical weather prediction models (Aladin) used alongside traditional global numerical weather prediction models (GFS ensamble). • Forecasts for the fourth and more days rely almost entirely on global numerical weather prediction models with lower accuracy, therefore use of 1-day time-step is sufficient. Advanced Aviation Weather Decision Support System
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Long-term plan
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Advanced Aviation Weather Decision Support System
Long-term plan / Ensemble prediction
Probability-based forecast of thresholds exceedance
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Advanced Aviation Weather Decision Support System
ADVISORIES • Candidate solutions contain list of actions/local procedures to be done in order to mitigate the impact caused by adverse weather situation • Linked to airport specific thresholds (applicable in case of some threshold exceedance = alert) • Must be configured according to the specification of the customer • Candidate solution (if specified for specific intensity of a phenomenon) appears as a pop-up window after clicking on the cell with colored alert
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Advanced Aviation Weather Decision Support System
SIGNIFICANT METEOROLOGICAL PHENOMENA Significant meteorological phenomena with impact on AO/GH procedures: • Includes phenomena with impact on airport operators, ground handlers and corresponding procedures (e.g. activities dependent on wind speed and wing gust) • AO/GH relevant phenomena vary depending on the local regulations and specification of an airport • Must be configured according to the specification of the customer (including color coding of MET information) Advanced Aviation Weather Decision Support System
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Advanced Aviation Weather Decision Support System
COLOR CODING OF MET INFORMATION AO/GH relevant phenomena AO/GH relevant phenomena Thunderstorm / Lightning
CB/TS Wien LOWW CB/TS Budapest LHBP Snow 3 cm/h intensity [cm/h] Snow 24 h amount [cm]
Description Occurrence of thunderstorm / lighting at or in vicinity of the airport Occurrence of thunderstorm at Vienna/Budapest airport Occurrence of snow with intensity more than 3cm/h Occurrence and thresholds of snow amount in 24h Occurrence of freezing rain
Wind speed (gust) [kt]
Thresholds for wind speed
No alert
Warning
Warning 2
Alert
≥ 8 km
< 8 km & ≥ 5 km
< 5 km
no TS
CB, TCU
TS, VCTS
No
CB, TCU
TS, VCTS
No
CB, TCU
TS, VCTS
< 3 cm/h
≥ 3 cm/h
> 3 cm/h (in at least two following hours)
< 10 cm/24 h
≥ 10 cm/24 h
No
Yes
< 25 kt
Advanced Aviation Weather Decision Support System
≥ 25 kt & < 40
≥ 40 & < 60
≥ 60
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AO/GH relevant phenomena Tail wind RWY [kt] Cross wind RWY [kt] LVP RWY
RVR RWY [m]
Cloud Base RWY [kt]
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Description Thresholds for tail wind for specific runway Thresholds for cross wind for specific runway Resulting LPV phase based on RVR and Cloud Base Thresholds for Runway visual range (RVR) for specific runway Thresholds for cloud base for specific runway
No alert
Warning
Warning 2
Alert
< 10 kt
≥ 10 kt & < 15 kt
≥ 15 kt
< 20 kt
≥ 20 kt & < 30 kt
≥ 30 kt Operation Phase
No LVP
Preparation Phase
CLOSED < 600 & ≥ 300
≥ 1500 m
> 1500 & ≥ 600
< 300 & ≥ 200 < 200 < 200 & ≥ 100
≥ 300 ft
< 300 & ≥ 200
< 100 < 100/no DH
Advanced Aviation Weather Decision Support System
SIGNIFICANT METEOROLOGICAL PHENOMENA Significant meteorological phenomena with impact on ATCO procedures: • Includes phenomena with impact on air traffic controllers and corresponding procedures (e.g. closure of the airport) • ATCO relevant phenomena vary depending on the local regulations and specification of specific airport • Must be configured according to the specification of the customer (including color coding of MET information)
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Advanced Aviation Weather Decision Support System
COLOR CODING OF MET INFORMATION ATCO relevant phenomena ATCO relevant phenomena Wind shear Volcanic ash CB/TS Turbulence
Description
No alert
Warning
Warning 2
Alert
Occurrence of wind shear
No
WS
Occurrence of volcanic ash
No
VA
Occurrence of thunderstorm clouds
No
CB, TCU
TS, VCTS
Occurrence of turbulence
No
MOD TURB
SEV TURB
Temperature [°C]
Thresholds for temperature values
T > 2 °C
T ≤ 2 °C & T > 0 °C
T ≤ 0 °C
Dew point [°C]
Thresholds for dew point values
T > 2 °C
T ≤ 2 °C & T > 0 °C
T ≤ 0 °C
Snow
Occurrence and thresholds for snow phenomena
No
Advanced Aviation Weather Decision Support System
-SN
SN, +SN
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ATCO relevant phenomena
Warning 2
Alert
VFR
ZVFR
IFR
Thresholds for prevailing visibility
≥ 5000 m
> 5000 & ≤ 1500/800
< 1500/800
Base BKN, OVC [ft]
Thresholds for cloud base with cloud cover BKN and OVC
≥ 1500 ft
< 1500 ft & ≥ 600
< 600
Tail wind RWY [kt]
Thresholds for tail wind for specific runway
< 10 kt
≥ 10 kt & < 15 kt
≥ 15 kt
Thresholds for cross wind for specific runway
< 20 kt
≥ 20 kt & < 30 kt
≥ 30 kt
Resulting LPV phase based on RVR and Cloud Base
No LVP
Preparation Phase
VFR Prevailing Visibility [m]
Cross wind RWYY [kt] LVP RWY
Description
No alert
Indication of VFR conditions
Warning
Operation Phase CLOSED < 600 & ≥ 300
RVR RWY [m]
Thresholds for Runway visual range (RVR) for specific runway
≥ 1500 m
> 1500 & ≥ 600
< 300 & ≥ 200 < 200 < 200 & ≥ 100
Cloud Base RWY [ft]
Thresholds for cloud base for specific runway
≥ 300 ft
< 300 & ≥ 200
< 100 < 100/no DH
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Advanced Aviation Weather Decision Support System
NEXT STEPS Further development (to reach V3 maturity level) and integration of AAWDSS with ACDM system is ongoing in cooperation with PANSA, Warsaw University and DLR within SESAR Wave 2 Solution PJ04-W2-29.2 MET Performance Management to improve resilience in adverse weather situtations
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Increase low visibility procedures detection by integration of cameras for enhanced inhomogeneous fog detection and nowcasting using various methods Windshear alerts based on integration of LIDAR data Increase thunderstorm and lightning awareness using various detection and nowcasting methods, e.g. DLR´s Cb-Global satellite-based tool Integration of runway surface condition assessment system in coordination with SESAR Solution PJ02-W225 Safety support tools for avoiding runway excursions
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THANK YOU!