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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 />

m 2 /sec) to simulate rapid mixing. Studies indicate that stratosphere-troposphere exchange may be dominated by transport from <strong>the</strong> mid- <strong>and</strong> high-latitude lower<br />

stratosphere to <strong>the</strong> troposphere (Eluszkiewicz, 1996). In a 2-D model, this transport will manifest itself as eddy flux along isentropic surfaces across <strong>the</strong> tropopause<br />

boundary (Shia et al., 1993). If this premise is true, calculated residence time of aircraft emissions in <strong>the</strong> LS would be sensitive to <strong>the</strong> horizontal <strong>and</strong> vertical resolutions<br />

of <strong>the</strong> models because resolution constrains <strong>the</strong> location <strong>and</strong> seasonal variation of <strong>the</strong> tropopause.<br />

4.3.1.2. Temperature, Transport Parameters, <strong>and</strong> Solvers<br />

The THINAIR model is <strong>the</strong> only model that calculates temperature <strong>and</strong> transport circulation consistent with calculated O 3 . The rest of <strong>the</strong> models generated results in<br />

CTM mode; in o<strong>the</strong>r words, results are obtained using pre-calculated temperature <strong>and</strong> transport fields. Different methods are used to compute residual mean<br />

circulation <strong>and</strong> eddy diffusion coefficients. Transport circulation for <strong>the</strong> UNIVAQ 2-D model is taken from a low-resolution spectral GCM (Pitari et al., 1992). Winds <strong>and</strong><br />

temperature for <strong>the</strong> LARC <strong>and</strong> SCTM1 models are from off-line GCM simulations, <strong>and</strong> those for SLIMCAT are from <strong>the</strong> UKMO analysis. There is no accepted method<br />

to validate computed transport parameters. Temperature is used to compute temperature-dependent reaction rate constants <strong>and</strong>, in some models, to predict <strong>the</strong><br />

surface areas of PSCs. Different numerical schemes are used to solve <strong>the</strong> mass-continuity equations. Given <strong>the</strong> different methods used in deriving <strong>the</strong> transport<br />

parameters in <strong>the</strong> models, it is not surprising that <strong>the</strong>re are large differences in calculated distributions of trace gases in <strong>the</strong> models. Large differences in modelsimulated<br />

distributions of chemically inert tracers such as sulfur hexafluoride point to transport differences as a major contributor. The research community is trying to<br />

identify a climatological database for zonal-mean distributions of trace gases through an ongoing exercise (Models <strong>and</strong> Measurements II, Park et al., 1999) that can be<br />

used to diagnose transport parameters.<br />

4.3.1.3. Chemistry<br />

Previous model intercomparison exercises have shown that chemistry solvers in most models calculate <strong>the</strong> same partitioning of radicals under <strong>the</strong> same constraints<br />

(solar zenith angle, overhead O 3 , local temperature, local sulfate surface area, <strong>and</strong> local concentrations of <strong>the</strong> long-lived species) when <strong>the</strong>y are used as box models in<br />

photochemical steady-state. Because <strong>the</strong> 2-D models transport zonal-mean concentrations, zonal-mean production <strong>and</strong> loss rates are needed in <strong>the</strong> mass-continuity<br />

equations for long-lived species. Different techniques are used to obtain zonal mean production <strong>and</strong> loss rates, including integrating diurnally varying concentrations of<br />

radicals obtained by explicit time marching to compute <strong>the</strong> zonal-mean rates or using diurnally averaged radical concentrations calculated from average solar zenith<br />

angles corrected by pre-calculated correction factors.<br />

Table 4-9: Sulfate surface area density (SAD) fields used in this assessment. SAD distributions<br />

derived in <strong>the</strong> coupled AER 2-D/ Sulfate Microphysical models (i.e., SA1) are obtained by calculating <strong>the</strong> difference between perturbed <strong>and</strong> reference SADs in<br />

<strong>the</strong> model.<br />

For <strong>the</strong>se calculations, an EI(S)=0.2 was assumed. This difference or aircraft-produced SAD is <strong>the</strong>n added to <strong>the</strong> volcanically clean reference distribution<br />

(SA0).<br />

The cruise altitude for most HSCT scenarios is at a st<strong>and</strong>ard (Std) height.<br />

http://www.ipcc.ch/ipccreports/sres/aviation/049.htm (3 von 13)08.05.2008 02:42:26

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