Abstract
Transatlantic aviation is a major industry and even small flight time changes have major economic and environmental implications. While our ability to optimise these flights for background wind variations at day-to-day scales is excellent, at the longer timescales needed for sustainability planning and fuel cost hedging these capabilities are more limited. Here, we quantify the association between four climate indices (the El Niño-Southern Oscillation, the North Atlantic Oscillation, the Quasi-Biennial Oscillation and solar irradiance) and transatlantic flight times using thirty years of commercial flight data. This allows us to identify whether these indices can be used to identify systematic flight time shifts. We find that ENSO and the NAO are associated with statistically-significant changes in one-way flight times of up to 82.2 ± 3.5 min, and changes in round-trip times of 4.8 ± 0.5 and 4.0 ± 0.8 min respectively, while the QBO and TSI have weaker but significant effects. Together, these indices plus a linear trend explain up to 27 % of variation depending on season and direction, and are associated with month-to-month fuel cost & CO2 emission variations of up to 27MUSD & 120 kT for one-way trips and USD 5 million & 23 kT for round trips. We also show that westward, round-trip and non-winter-eastward flight times have increased by several minutes per decade since the 1990s. Our results provide the first observational quantitative basis for aviation fuel and carbon cost management at monthly and longer timescales.
| Original language | English |
|---|---|
| Pages (from-to) | 18267-18290 |
| Number of pages | 24 |
| Journal | Atmospheric Chemistry and Physics |
| Volume | 25 |
| Issue number | 23 |
| Early online date | 12 Dec 2025 |
| DOIs | |
| Publication status | Published - 12 Dec 2025 |
Data Availability Statement
IAGOS data are available from the IAGOS Data Portal https://doi.org/10.25326/20 (Boulanger et al., 2019). All climate indices used are either publicly available (NAO, TSI, ENSO) or can be computed directly from publicly-available data (QBO, Annual, Time); their source or computation method is described at first mention in the text. All analysis and plotting code are available in their form as at time of final journal acceptance as the v1.0 release at https://doi.org/10.5281/zenodo.17908777 (Wright, 2025).Funding
This research has been supported by the Natural Environment Research Council (grant nos. NE/S00985X/1, NE/V01837X/1, NE/W003201/1, and NE/Z50399X/1) and the Royal Society (grant no. URF/R/221023).
ASJC Scopus subject areas
- Atmospheric Science