Choosing meteorological input for the global modeling initiative assessment of high-speed aircraft

被引:58
作者
Douglass, AR
Prather, MJ
Hall, TM
Strahan, SE
Rasch, PJ
Sparling, LC
Coy, L
Rodriguez, JM
机构
[1] NASA, Goddard Space Flight Ctr, Greenbelt, MD 20771 USA
[2] Univ Calif Irvine, Dept Earth Syst Sci, Irvine, CA 92717 USA
[3] NASA, Goddard Inst Space Studies, New York, NY 10025 USA
[4] Gen Sci Corp, Laurel, MD USA
[5] Natl Ctr Atmospher Res, Boulder, CO 80307 USA
[6] Univ Maryland Baltimore Cty, Joint Ctr Environm Technol, Baltimore, MD 21228 USA
[7] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Miami, FL 33149 USA
关键词
D O I
10.1029/1999JD900827
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The global modeling initiative (GMI) science team is developing a three-dimensional chemistry and transport model (CTM) for use in assessment of the atmospheric effects of aviation. This model must be documented, be validated against observations, use a realistic atmospheric circulation, and contain numerical transport and photochemical modules representing atmospheric processes. The model must retain computational efficiency for multiple scenarios and sensitivity studies. To meet these requirements, a facility model concept was developed in which the different components of the CTM: are evaluated separately. The assessment of the impact on the stratosphere of the exhaust of supersonic aircraft will depend strongly on the meteorological fields used by the CTM. Three data sets for the stratosphere were considered: the National Center for Atmospheric Research Community Climate Model (CCM2), the Goddard Earth Observing System data assimilation system, and the Goddard Institute for Space Studies general circulation model. Objective criteria were developed to identify the data set that provides the best representation of the stratosphere. Simulations of gases with simple chemical control were chosen to test various aspects of model transport. The data sets were evaluated and graded on their performance on these tests. The CCM2 meteorological data set has the highest score and was selected for GMI. This objective model evaluation establishes a physical basis for interpretation of differences between models and observations. Further, the method provides a quantitative basis for defining model errors, for discriminating between different models, and for ready reevaluation of improved models. This will lead to higher confidence in assessment calculations.
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页码:27545 / 27564
页数:20
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