RT Journal Article
T1 Linear contrails detection, tracking and matching with aircraft using geostationary satellite and air traffic data
A1 Chevallier, R.
A1 Shapiro, M.
A1 Engberg, Z.
A1 Soler Arnedo, Manuel Fernando
A1 Delahaye, D.
AB Climate impact models of the non- (Formula presented.) emissions of aviation are still subject to significant uncertainties. Condensation trails, or contrails, are one of these non- (Formula presented.) effects. In order to validate the contrail simulation models, a dataset of observations covering the entire lifetime of the contrails will be required, as well as the characteristics of the aircraft which produced them. This study carries on the work on contrail observation from geostationary satellite by proposing a new way to track contrails and identify the flight that produced it using geostationary satellite infrared images, weather data as well as air traffic data. It solves the tracking and the identification problem as one, each process leveraging information from the other to achieve a better overall result. This study is a new step towards a consistent contrail dataset that could be used to validate contrail models.
PB MDPI
SN 2226-4310
YR 2023
FD 2023-07-01
LK https://hdl.handle.net/10016/39421
UL https://hdl.handle.net/10016/39421
LA eng
NO We would like to thank Airbus Airline Sciences team for their funding and support, B. Sridhar for the insightful discussion and suggestions, MIT LAE team for their help on the contrail detection topic, and Enac Optim team for the reviews and support.
DS e-Archivo
RD 30 jun. 2024