Testing Contrail Avoidance in Commercial Aviation
Author Information
Author(s): Aaron Sonabend-W, Carl Elkin, Thomas Dean, John Dudley, Noman Ali, Jill Blickstein, Erica Brand, Brian Broshears, Sixing Chen, Zebediah Engberg, Mark Galyen, Scott Geraedts, Nita Goyal, Rebecca Grenham, Ulrike Hager, Deborah Hecker, Marco Jany, Kevin McCloskey, Joe Ng, Brian Norris, Frank Opel, Juliet Rothenberg, Tharun Sankar, Dinesh Sanekommu, Aaron Sarna, Ole Schütt, Marc Shapiro, Rachel Soh, Christopher Van Arsdale, John C. Platt
Primary Institution: American Airlines, Flight Operations, Dallas-Fort Worth, TX, USA
Hypothesis
Can altitude adjustments based on contrail formation predictions reduce contrail formation in commercial aviation?
Conclusion
The study found that per-flight contrail avoidance is feasible, resulting in a 64% reduction in detectable contrails.
Supporting Evidence
- 64% fewer contrails were observed in the treatment group compared to the control group.
- The treatment group had a statistically significant reduction in detectable contrails.
- Altitude adjustments were based on predictions from a physics-based simulation model and a machine learning model.
- Participants included ten senior pilots who completed 44 flights.
- Fuel usage increased by 2% per adjusted flight.
- Contrail avoidance was verified using satellite imagery.
- The study provides a proof-of-concept for commercial airlines to avoid detectable contrail formation.
- The randomized controlled trial design helped control for confounding factors.
Takeaway
This study shows that by changing flight altitudes, planes can avoid making contrails, which are bad for the environment.
Methodology
A randomized controlled trial was conducted with 44 flights, where pilots adjusted altitudes based on contrail formation predictions.
Potential Biases
Potential biases in contrail detection due to satellite image resolution and evaluator subjectivity.
Limitations
The study focused only on near-airport contrail avoidance and did not assess the broader implications of contrail avoidance on climate change.
Participant Demographics
Ten senior pilots from American Airlines participated in the trial.
Statistical Information
P-Value
0.0331
Statistical Significance
p = 0.0331
Digital Object Identifier (DOI)
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