Nonlinearity in atmospheric response: A direct sensitivity analysis approach

被引:78
作者
Hakami, A
Odman, MT
Russell, AG
机构
[1] CALTECH, Dept Chem Engn, Pasadena, CA 91125 USA
[2] Georgia Inst Technol, Sch Civil & Environm Engn, Dept Environm Engn, Atlanta, GA 30332 USA
关键词
atmospheric modeling; sensitivity analysis; decoupled direct method;
D O I
10.1029/2003JD004502
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The decoupled direct method (DDM) is used for efficient and accurate calculation of the higher-order sensitivity coefficients in a regional photochemical air quality model with detailed chemical mechanism ( Statewide Air Pollution Research Center (SAPRC-99)). High-order DDM (HDDM) is an extension to a previous implementation of DDM in three-dimensional air quality models (DDM-3D) that directly calculates the higher-order derivatives (with respect to one parameter, as well as cross derivatives) with similar computational efficiency as the first-order implementation and is also modified for better accuracy. (H)DDM results show very good agreement with brute force (finite difference) sensitivity coefficients for the first- and second-order derivatives, but the agreement deteriorates for higher-order coefficients. The nature of the truncation errors and other inaccuracies in the brute force approximations are explored. The difference between the first- order brute force and DDM derivatives is dominated (and largely explained) by the truncation errors as calculated from HDDM results. Taylor expansion is used for parametric scaling of the response with the use of sensitivity coefficients. Use of higher-order coefficients can significantly improve the accuracy of such projections. Finally, higher-order sensitivity coefficients of ozone with respect to NOx and volatile organic compound emissions (including cross derivatives) are used to create time- and location-dependent ozone isopleths.
引用
收藏
页码:D153031 / 12
页数:12
相关论文
共 25 条
[1]  
Bischof C.H., 1992, Sci. Program., V1, P11, DOI [DOI 10.1155/1992/717832, 10.1155/1992/717832]
[2]  
BOTT A, 1989, MON WEATHER REV, V117, P1006, DOI 10.1175/1520-0493(1989)117<1006:APDASO>2.0.CO
[3]  
2
[4]   Development of a comprehensive, multiscale "one-atmosphere" modeling system: application to the Southern Appalachian Mountains [J].
Boylan, JW ;
Odman, MT ;
Wilkinson, JG ;
Russell, AG ;
Doty, KG ;
Norris, WB ;
McNider, RT .
ATMOSPHERIC ENVIRONMENT, 2002, 36 (23) :3721-3734
[5]   Sensitivity analysis for atmospheric chemistry models via automatic differentiation [J].
Carmichael, GR ;
Sandu, A ;
Potra, FA .
ATMOSPHERIC ENVIRONMENT, 1997, 31 (03) :475-489
[6]  
Carter WPL, 1999, DOCUMENTATION SAPRC, V1
[7]  
DAMASSA J, 1996, PERFORMANCE EVALUATI
[8]   SENSITIVITY ANALYSIS OF ORDINARY DIFFERENTIAL EQUATION SYSTEMS - DIRECT METHOD [J].
DICKINSON, RP ;
GELINAS, RJ .
JOURNAL OF COMPUTATIONAL PHYSICS, 1976, 21 (02) :123-143
[9]   The decoupled direct method for sensitivity analysis in a three-dimensional air quality model - Implementation, accuracy, and efficiency [J].
Dunker, AM ;
Yarwood, G ;
Ortmann, JP ;
Wilson, GM .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2002, 36 (13) :2965-2976
[10]   Comparison of source apportionment and source sensitivity of ozone in a three-dimensional air quality model [J].
Dunker, AM ;
Yarwood, G ;
Ortmann, JP ;
Wilson, GM .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2002, 36 (13) :2953-2964