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  1. Environment
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  • Environment
    • PRB monitoring
    • En route performance
      • Horizontal flight efficiency
    • Terminal performance
      • AXOT & ASMA
      • CDO
    • CIV-MIL

  • Capacity
    • PRB monitoring
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      • En route ATFM delay
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      • Arrival ATFM delay
      • Other performance indicators

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Environment - Germany

Download Report

PRB monitoring

▪ FABEC stated that half of the Union-wide RAD simplifications applied in 2020 were within FABEC airspace and that eNM measures were not needed. This helped improve the shortest constrained routes within FABEC, but was not sufficient in helping to reach the FAB-level KEA reference value (2.90%) in 2020.

▪ At a national level, Germany achieved a KEA performance of 2.37% and the FABEC reference value is 2.90% in 2020.

▪ Karlsruhe Upper Area Control Centre and MUAC, in cooperation with other German ACCs, seized the opportunity of the significant fall in traffic to shorten routes and improve flight profiles in Europe’s busiest airspace. This had a distinct impact that led to shorter constrained routes and improved performance relative to 2019.

▪ The share of flights operating CCO/CDO at German airports improved in 2020 compared to 2019. The additional time airspace users spent taxiing or holding in terminal airspace reduced by 36% compared to 2019.

En route performance

Horizontal flight efficiency of the actual trajectory (KEA) (KPI#1), of the last filed flight plan (KEP) (PI#1) & shortest constrained route (SCR) (PI#2)

Terminal performance

Additional taxi-out time (AXOT) (PI#3) & Arrival Sequencing and Metering Area (ASMA) time (PI#4)

Focus on ASMA & AXOT

AXOT

The additional taxi-out times in 2020 at German airports were strongly impacted by the reduction of traffic, dropping below 1 min/dep. at many of these airports between April and October. Stuttgart (EDDS) and Cologne-Bonn (EDDK) showed a lower improvement with reductions below a 30% and their additional taxi-out times remained above 1 min/dep. throughout the year (except in April at Stuttgart, when they averaged 0.46 min/dep). Additional times at Frankfurt were the highest in Germany in 2019 and dropped by 51% in 2020 (EDDF; 2019: 3.85 min/dep; 2020: 1.90 min/dep.). Munich (EDDM; 2019: 3.82 min/dep; 2020: 2.48 min/dep.) seems to be very influenced by de-icing procedures, and showed very high additional taxi-times in the winter months, including December 2020, when this indicator averaged 3.58 min/dep. despite the low traffic.

ASMA

All German airports except for Berlin Brandenburg show a decrease in the annual additional times in the terminal airspace between 20% and 51% lower than in 2019. Berlin Brandenburg (EDDB; 2019: 0.28 min/arr.; 2020: 0.40 min/arr.) slightly increased its additional ASMA times, but its performance was still the best in the group of German airports under monitoring. The month of February was clearly the worst in terms of times in the terminal airspace, probably affected by the storms in central and north-western Europe. The most impressive reduction of additional ASMA times was observed at Munich (EDDM; 2019: 2.07 min/arr.; 2020: 1.12 min/arr.) where this indicator was zero or nearly zero since April until the end of the year. Frankfurt on the other side showed the lowest reduction (20%) with respect to 2019 (EDDF; 2019: 2.17 min/arr.; 2020: 1.73 min/arr.) and was the airport with the highest additional ASMA times in the monitored SES airports in 2020.

Share of arrivals applying continuous descent operations (CDOs) (PI#5)

Focus CDOs

For only 2 out of the 16 airports (Hamburg - EDDH and Hanover - EDDV), the share of CDO flights was above the RP3 overall value in 2020 (32.5%). The two airports with the highest traffic numbers, Frankfurt (EDDF) and Munich (EDDM), have a rather low share of CDO flights.

Airport level
Airport
Additional taxi-out time (PI#3)
Additional ASMA time (PI#4)
Share of arrivals applying CDO (PI#5)
2020 2021 2022 2023 2024 2020 2021 2022 2023 2024 2020 2021 2022 2023 2024
Berlin Schönefeld 1.29 NA NA NA NA 0.40 NA NA NA NA 29% NA NA NA NA
Berlin-Tegel 0.94 NA NA NA NA 0.72 NA NA NA NA 26% NA NA NA NA
Bremen 0.60 NA NA NA NA 0.51 NA NA NA NA 25% NA NA NA NA
Köln-Bonn 1.36 NA NA NA NA 0.88 NA NA NA NA 29% NA NA NA NA
Dresden 0.46 NA NA NA NA 0.40 NA NA NA NA 24% NA NA NA NA
Düsseldorf 1.37 NA NA NA NA 1.25 NA NA NA NA 27% NA NA NA NA
Erfurt 0.41 NA NA NA NA 0.17 NA NA NA NA 20% NA NA NA NA
Frankfurt 1.90 NA NA NA NA 1.73 NA NA NA NA 8% NA NA NA NA
Hamburg 0.91 NA NA NA NA 0.60 NA NA NA NA 33% NA NA NA NA
Hannover 1.03 NA NA NA NA 0.65 NA NA NA NA 33% NA NA NA NA
Leipzig 2.01 NA NA NA NA 2.07 NA NA NA NA 18% NA NA NA NA
Münster-Osnabrück 1.02 NA NA NA NA 0.53 NA NA NA NA 17% NA NA NA NA
München 2.48 NA NA NA NA 1.12 NA NA NA NA 11% NA NA NA NA
Nürnberg 0.63 NA NA NA NA 0.43 NA NA NA NA 21% NA NA NA NA
Saarbrücken 2.43 NA NA NA NA 0.61 NA NA NA NA 14% NA NA NA NA
Stuttgart 1.85 NA NA NA NA 0.56 NA NA NA NA 16% NA NA NA NA

Civil-Military dimension

Focus on Civil-Military dimension

Update on Military dimension of the plan

No data available.

Military - related measures implemented or planned to improve environment and capacity

No data available.

Initiatives implemented or planned to improve PI#6

No data available.

Initiatives implemented or planned to improve PI#7

No data available.

Initiatives implemented or planned to improve PI#8

No data available.

 
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