The impacts of rising temperatures on aircraft takeoff performance
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Steadily rising mean and extreme temperatures as a result of climate change will likely impact the air transportation system over the coming decades. As air temperatures rise at constant pressure, air density declines, resulting in less lift generation by an aircraft wing at a given airspeed and potentially imposing a weight restriction on departing aircraft. This study presents a general model to project future weight restrictions across a fleet of aircraft with different takeoff weights operating at a variety of airports. We construct performance models for five common commercial aircraft and 19 major airports around the world and use projections of daily temperatures from the CMIP5 model suite under the RCP 4.5 and RCP 8.5 emissions scenarios to calculate required hourly weight restriction. We find that on average, 10–30% of annual flights departing at the time of daily maximum temperature may require some weight restriction below their maximum takeoff weights, with mean restrictions ranging from 0.5 to 4% of total aircraft payload and fuel capacity by mid- to late century. Both mid-sized and large aircraft are affected, and airports with short runways and high temperatures, or those at high elevations, will see the largest impacts. Our results suggest that weight restriction may impose a non-trivial cost on airlines and impact aviation operations around the world and that adaptation may be required in aircraft design, airline schedules, and/or runway lengths.
Global mean surface temperatures have increased by approximately 1 °C above pre-industrial levels, with most of that change occurring after 1980 (Walsh et al. 2014). As air temperature increases at constant pressure, air expands and becomes less dense. The lift generated by an airplane wing is a function of the mass flux across the wing surface; at lower air densities, a higher airspeed is required to produce a given lifting force (Anderson 2015). For a given runway and aircraft, there is a temperature threshold above which takeoff at the aircraft’s maximum takeoff weight (MTOW) is impossible due to runway length or performance limits on tire speed or braking energy. Above this threshold temperature, a weight restriction—entailing the removal of passengers, cargo, and fuel—must be imposed to permit takeoff (Coffel and Horton 2015, 2016; Hane 2015).
Weather is a leading cause of disruption to flight operations (Lan et al. 2006; Koetse and Rietveld 2009), either through direct impacts on airport capacity and flight routes or through cascading delays across the aviation system (Fleurquin et al. 2013). However, the study of the potential impacts of climate change on aviation is relatively recent (Thompson 2016). Prior work has suggested that both turbulence (Williams and Joshi 2013; Williams 2017) and trans-Atlantic flight times (Williams 2016) may increase due to a strengthening and shifting mid-latitude jet stream. Climate change may also result in more extreme precipitation events (O’Gorman and Schneider 2009; Kharin et al. 2007), altered mid-latitude storm tracks (Yin 2005; Coumou et al. 2015), and changes in hurricane frequency and intensity (Knutson et al. 2010; Webster et al. 2005), among other disruptions to prevailing weather patterns. Sea level rise is also likely to threaten low-lying coastal airports around the world (Hinkel et al. 2014; Parris et al. 2012; Burbidge 2016). Little work has explored these potential risks in detail in the context of the aviation sector, and they present fertile ground for future research.
This study focuses on one potential impact of climate change: an increase in weight restriction due to higher temperatures. The warming resulting from current climate change (~1 °C) has raised the mean airport density altitude (i.e., the altitude associated with air at a given pressure at standard atmospheric conditions) by approximately 100 ft, and expected additional warming of 1–3 °C by the end of the century (Collins et al. 2013) will result in further increases of additional hundreds of feet. Prior work has shown that the frequency of days on which a Boeing 737-800 requires weight restriction is likely to increase by 100–300% at several airports in the USA in the coming decades (Coffel and Horton 2015). We expand on these results by building performance models for five common commercial aircraft, the Boeing 737-800, Airbus A320, Boeing 787-8, Boeing 777-300, and Airbus A380, and calculating the change in the magnitude and frequency of weight restriction events at 19 airports (see Supplementary Tables 1 and 2 for airport and aircraft information). Air traffic is heavily concentrated in a relatively small number of cities, and these selected locations represent the most common climates, elevations, and runway conditions found at the world’s busiest airports. We then calculate weight restriction at a variety of takeoff weights (TOWs) in both historical and future climate conditions. This analysis demonstrates a method which could be combined with aviation industry operational data to dynamically predict the weight restriction burden for an airline, taking into account fleets of diverse aircraft and daily schedules at different airports.
We project future daily airport temperatures using 27 general circulation models (GCMs) from the CMIP5 (Taylor et al. 2012) model suite under both the RCP 4.5 and RCP 8.5 emissions scenarios (Moss et al. 2010), using the single grid cell that includes each selected airport. We identify and correct several sources of GCM temperature bias using airport station observations from the NOAA-NCEI Global Historical Climatology Network (GHCN) (see Supplementary methods). While global mean temperatures are projected to rise by 2–4 °C by 2100 relative to pre-industrial times, changes over land will be larger (Collins et al. 2013; Karl et al. 2015). Changes in extremes may be larger still, with annual maximum airport temperatures projected to increase by 4–8 °C (Horton et al. 2015), resulting in substantial fractions of the year being spent above the historical annual maximum temperature, especially in the tropics where variability is lower (Mora et al. 2013). The frequency and severity of extreme heat events have already increased due to climate change (Stott et al. 2004; Dole et al. 2011), and future mean warming and potential changes in temperature variability (Horton et al. 2015; Horton et al. 2016; Kodra and Ganguly 2014; Schär et al. 2004) are very likely to further enhance the risk of unprecedented heat waves.
We use aircraft performance data from publicly available “Airplane characteristics for airport planning” documents which are produced by manufacturers for all commercial aircraft types (Boeing 2013). These documents contain charts relating TOW, airport elevation, and air temperature to required takeoff runway length. Using these data, we fit three-dimensional surfaces relating temperature and TOW to required takeoff runway length for each aircraft type and airport elevation; Supplementary Figure 5 shows fitted surfaces and weight restriction characteristics. Using the appropriate surface for each aircraft and airport, weight restriction can be calculated at any air temperature and departure weight (see Supplementary methods).
Weight restriction can be partitioned into payload reduction (i.e., passengers and/or cargo) and fuel weight reduction. When payload is reduced, less fuel is required to carry that payload, and less still is required to carry that reduced fuel load. Thus, the required payload reduction is less than the total weight restriction. We use a model of aircraft performance (EUROCONTROL 2004) to estimate the mean partitioning of a weight restriction for a Boeing 737-800 to be 83% payload and 17% fuel (see Supplementary methods). This partitioning ratio will vary somewhat for different aircraft types and flight lengths, and more exact values could be computed in future research. Using this partitioning, we calculate required payload reduction for all selected aircraft/airport combinations.
While the projected change in weight restriction is relatively consistent across aircraft, the total impact of restriction varies. The large Boeing 777-300 and Boeing 787-8 are projected to experience the greatest impacts from weight restriction; for an aircraft departing near MTOW, by mid- to late century, total fuel and payload capacity may be reduced by 3–5% with 30–40% of flights experiencing some restriction. The Airbus A320 and Boeing 737-800 are less impacted; when departing near MTOW, approximately 5–10% of flights may experience some restriction, sacrificing, on average, 0.5% of their fuel and payload capacity. This is due in part to aircraft design characteristics as well as the fact that most of the world’s commercial airports (and those simulated here) have far longer runways than are required by these mid-sized aircraft, even at high temperatures. The A380 is also expected to experience little weight restriction except at extremely high air temperatures, in part due to its exclusive operation at large airports.
The weight restriction burden varies significantly between airports (see Supplementary Figures 3 and 4 for statistics on all selected airports). At New York’s LGA, a Boeing 737-800 near its MTOW may be weight-restricted approximately 50% of the time when departing at the time of the daily highest temperature and see weight reductions of close to 3.5% of fuel and payload capacity. Similarly, a Boeing 777-300 near MTOW departing from Dubai (DXB) at the time of the daily highest temperature may be weight-restricted about 55% of the time, with weight reductions of up to 6.5% of fuel and payload capacity. The averages over all 19 airports shown in Fig. 3 are lower, as they demonstrate the system-wide impact of weight restriction, including airports which are minimally affected such as London (LHR), Paris (CDG), and New York (JFK).
Technological change, including improvements in engine performance and airframe efficiency, will likely ameliorate the effects of rising temperatures to some degree. In addition, the vast majority of weight restriction will occur near the time of highest temperature; in some locations, it may prove feasible to reschedule some flights, especially those with high TOWs, to cooler hours of the day (this is already done at some airports (ICAO 2016)). Airports could also lengthen runways, although such projects are expensive and politically difficult. However, even with adaptation, potentially including new aircraft designs, takeoff performance will still likely be lower than it would have been given no climate change due to both the effects of reduced air density and degraded engine performance and thrust at higher temperatures. This fact is true of all climate impacts: even if they can be adapted to, they still have a cost. A variety of climate impacts on the aviation industry are likely to occur in the coming decades, and the sooner climate change is incorporated into mid- and long-range plans, the more effective adaptation efforts can be.
We acknowledge the World Climate Research Programme’s Working Group on Coupled Modelling, which is responsible for the CMIP, and we thank the climate modeling groups for producing and making available their model output. For the CMIP, the US Department of Energy’s Program for Climate Model Diagnosis and Intercomparison provided coordinating support and led the development of software infrastructure in partnership with the Global Organization for Earth System Science Portals. Funding for this research was provided through NSF grant number DGE-11-44155 and the US DOI.
E.D.C. and T.R.T. jointly conceived of the study, conducted the analyses, and wrote the paper. R.M.H. provided the input at all stages.
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