Published November 2, 2023
| Version 1.0.0
Dataset
Open
Dataset for the paper "Aircraft wake vortices affecting airport wind measurements"
Description
Dataset in support of the paper "Aircraft wake vortices affecting airport wind measurements". The dataset contains the results of the manual classification as discussed in section 2 and 3 of the paper, details can be found there.
For each take-off, one row exists in the dataset. The columns are:
- takeoff_no: int, Incrementing integer
- timestamp: string, UTC time the flight passes by the anemometer
- flight_id: string, Unique identifier for the flight
- typecode: string, ICAO aircraft typecode of the flight
- wtc: string: ICAO wake turbulence category of the flight
- groundspeed_kts: float, Groundspeed [kts] at the moment of passing by the anemometer
- alt_above_thr_m: float, Altitude above runway threshold [m] at the moment of passing by the anemometer
- wind_speed_kts: float, Wind speed [kts]. Computed as a mean of the sensor values for a 2min window ending at the crossing timestamp
- wind_dir_deg: float, Wind direction [°]. Computed as a mean of the sensor values for a 2min window ending at the crossing timestamp
- is_event_visual_assessor_1: int, Classification of assessor 1 of wheather the flight caused a wake that hit the anemometer
- is_event_visual_assessor_2: int, Classification of assessor 2 of wheather the flight caused a wake that hit the anemometer
- is_event_visual_assessor_3: int, Classification of assessor 3 of wheather the flight caused a wake that hit the anemometer
- is_event_visual_sum: int, Sum of classifications of 3 assessors (0 to 3)
- is_event_wake_model: float, Classification of wheather the flight caused a wake that hit the anemometer based on P2P wake model output (only applied to flights with a sum of classifications of 2 and more)
- is_event: int, Final classification of wheather the flight caused a wake that hit the anemometer
Files
to_wake_classified.csv
Files
(159.9 kB)
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Additional details
Related works
- Is published in
- Conference paper: 10.59490/joas.2023.7212 (DOI)