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Estimating Aircraft Landing Weights from Mode S Data

Holzäpfel, Frank and Rotshteyn, Grigory (2022) Estimating Aircraft Landing Weights from Mode S Data. In: AIAA SciTech 2022 Forum, 2022 (1397), pp. 1-8. 2022 AIAA SciTech Forum, 3-7 January 2022, San Diego, CA & Virtual. doi: 10.2514/6.2022-1397.

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Official URL: https://doi.org/10.2514/6.2022-1397


Aircraft weights prior to touchdown are assessed employing equations suggested for estimates of descent speeds depending on aircraft gross mass following BADA (Base of Aircraft Data). The required aircraft type, calibrated airspeed and air density data are derived from Mode S data protocols. Landing weights of 3328 aircraft approaching Vienna airport, provided by Austrian Airlines, serve as reference gross masses. Average aircraft masses during final approach vary between 85% and 93% of the maximum landing weight depending on the aircraft type. A simple correction for the observed inclination of pilots to fly somewhat faster than prescribed in reference handbooks eliminates the bias of the mass estimates in the current data base, while the respective standard deviation amounts to approximately 5%.

Item URL in elib:https://elib.dlr.de/147952/
Document Type:Conference or Workshop Item (Speech)
Title:Estimating Aircraft Landing Weights from Mode S Data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Holzäpfel, FrankDLR, IPAhttps://orcid.org/0000-0003-3182-1832
Date:January 2022
Journal or Publication Title:AIAA SciTech 2022 Forum
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
DOI :10.2514/6.2022-1397
Page Range:pp. 1-8
Series Name:AIAA Paper
Keywords:aircraft landing weight, Mode S
Event Title:2022 AIAA SciTech Forum
Event Location:San Diego, CA & Virtual
Event Type:international Conference
Event Dates:3-7 January 2022
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Air Transportation and Impact
DLR - Research area:Aeronautics
DLR - Program:L AI - Air Transportation and Impact
DLR - Research theme (Project):L - Climate, Weather and Environment
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Atmospheric Physics > Transport Meteorology
Deposited By: Holzäpfel, Dr. habil. Frank
Deposited On:04 Jan 2022 07:10
Last Modified:10 Jan 2022 08:13

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