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Aviation and the Global Atmosphere

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<strong>Aviation</strong> <strong>and</strong> <strong>the</strong> <strong>Global</strong> <strong>Atmosphere</strong><br />

<strong>Aviation</strong> <strong>and</strong> <strong>the</strong> <strong>Global</strong> <strong>Atmosphere</strong><br />

Table of contents | Previous page | Next page<br />

6.5.2. Climate Signatures of Aircraft-Induced Ozone Perturbations<br />

With uncertainty in relating RF to climate response noted above, it would be useful to compare<br />

CGCM-modeled climate responses for aircraft perturbations. Less agreement is expected<br />

between models because <strong>the</strong> magnitude of <strong>the</strong>ir feedback responses (i.e., climate sensitivity)<br />

can be quite different from one ano<strong>the</strong>r. A review of different model sensitivities has been given<br />

in IPCC (1990, 1992, 1996); <strong>the</strong> values vary from a sensitivity of about 0.4 K/(Wm-2) to 1.2 K/<br />

(Wm-2) for doubled CO 2 . How <strong>the</strong> sensitivity would vary for heterogeneous aircraft perturbations<br />

is not known.<br />

The most appropriate tool would be simulations in <strong>the</strong> transient mode using coupled atmosphereocean<br />

GCMs. These simulations are computationally very expensive, <strong>and</strong> it would be very<br />

difficult to separate signal from noise. To date, however, all known comprehensive model<br />

simulations of aircraft induced climate change were made in <strong>the</strong> quasi-stationary mode using<br />

ei<strong>the</strong>r pure atmospheric GCMs (e.g., Sausen et al., 1997) or atmospheric GCMs coupled to<br />

mixed layer ocean models (examples below). In o<strong>the</strong>r words, <strong>the</strong>se simulations studied quasiequilibrium<br />

response to a stationary or seasonally repeating perturbation. Pure atmospheric<br />

models underestimate <strong>the</strong> response if, for instance, sea surface temperature is fixed to a<br />

prescribed value. Equilibrium simulations with coupled models overestimate <strong>the</strong> aircraft effect in<br />

absolute numbers relative to transient simulations (see discussion in Sausen <strong>and</strong> Schumann,<br />

1999), <strong>and</strong> <strong>the</strong> spatial pattern of climate change can serve only as a first estimate (Kattenberg et<br />

al., 1996). These simulations must be compared with analogous simulations for well-mixed<br />

greenhouse gases (e.g., CO 2 doubling). Then <strong>the</strong> particular climate sensitivity to aircraft-induced<br />

radiative forcing <strong>and</strong> aircraft signatures of climate changes may possibly be extracted.<br />

Using <strong>the</strong> GISS 3-D climate/middle atmosphere model, Rind <strong>and</strong> Lonergan (1995) studied <strong>the</strong><br />

http://www.ipcc.ch/ipccreports/sres/aviation/082.htm (1 von 3)08.05.2008 02:43:10<br />

Figure 6-11: Equilibrium change of annual, zonal<br />

mean temperature (K) caused by ozone perturbation<br />

due to NO x emissions of a projected sub- <strong>and</strong><br />

supersonic aircraft fleet for <strong>the</strong> year 2015, as<br />

simulated with <strong>the</strong> GISS model (Rind <strong>and</strong> Lonergan,<br />

1995). This calculation is not for any specific<br />

scenarios assessed here.<br />

O<strong>the</strong>r reports in this collection

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