Figure 6-16: (a) Aviation fossil fuel use relative to
the |
In the aircraft scenarios considered here, the relative amount of aviation fuel burned in 1990 (2.4% of all fossil fuel carbon emissions) would increase by 2050 to about 3% (Fa1) or more than 7% (Eab) depending on projections for air traffic (see Figure 6-16a). For the other scenarios here-with economic assumptions differing from the reference case IS92a, hence a different demand for air transport-these fuel fractions in 2050 may be a factor of 1.5 larger. In comparison, aviation was responsible in 1990 for about 3.5% of total anthropogenic RF. This fraction would grow to about 5% in 2050 for Fa1 and 10% for Eab. Figure 6-16b shows the evolution of aviation RF from 1990 to 2050 for several scenarios as a percentage of total IS92a RF. The climate change forced by aircraft, as measured by the summed RF, is a larger proportion of total RF than indicated by fuel use alone. Thus, aviation is an example of an industry for which the climate impacts of short-lived perturbations such as O3 and aerosols/clouds must be considered when evaluating the sector as a whole. This effect is also demonstrated by RFI-the ratio of summed RF to CO2-RF-which is greater than 1 (see Table 6-1).
Each of the demand scenarios has a technology 2 option in which a 25% reduction in EI(NOx) (corresponding to a 22% reduction in total NOx emissions) is achieved at an additional fuel cost of about 3.5%. These options are calculated to have very little impact on total RF (Table 6-1) because the reduced O3-RF is offset by the increased CH4-RF and the small extra fuel burn CO2-RF). If the CH4 perturbation is tied to the O3 perturbation as the models now indicate, then the O3-RF and the CH4-RF nearly cancel, and efforts at NOx reduction may not be as effective in reducing RF as previously estimated when only ozone changes were considered. However, these opposing contributions to the radiative imbalance are very non-uniform in geographic extent, and the regional climate response may not simply disappear (see Section 6.5.1). Moreover, the prospect of large and canceling RFs, each with large independent uncertainties, greatly increases the probability of a large residual.
Other reports in this collection |