Adjoint sensitivity of episodic ozone in the Paris area to emissions on the continental scale

被引:80
作者
Schmidt, H
Martin, D
机构
[1] Ecole Polytech, Meteorol Dynam Lab, Palaiseau, France
[2] Inst Pierre Simon Laplace, Paris, France
关键词
adjoint modeling; tropospheric ozone; air quality modeling; ensitivity studies; Paris; precursor emissions;
D O I
10.1029/2001JD001583
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
[1] This study presents results of sensitivity calculations with the adjoint of the continental-scale Eulerian chemistry transport model CHIMERE. In the framework of the Atmospheric Pollution Over the Paris Area (ESQUIF) project, which was designed to improve the understanding of photochemical pollution events in the Paris region, a large number of aircraft and surface observations was performed in order to study the chemical composition around the agglomeration. Here the adjoint CHIMERE model is used to calculate sensitivities of ozone concentrations, in particular of air masses entering the Paris region, with respect to emissions on the continental scale. For 13 case studies the influence of ozone precursors, differentiated with respect to their source type, their geographical origin, and their time of emission, is quantified with the aim of facilitating the interpretation of the observations and to demonstrate the usefulness of adjoint models for such types of studies. It is shown that for all cases the regional peak ozone concentrations are more sensitive to emissions of NOx than to emissions of volatile organic compounds (VOCs). However, the influence of VOCs is extended over a longer time span than for NOx, which is reflected in the more distant source regions of highly influential VOC emissions. On average the sensitivity to biogenic VOCs is significantly smaller than to anthropogenic VOCs. The same is true for NOx emissions. However, as different uncertainties have to be associated with these four emission groups, the uncertainty of the modeled ozone concentration caused by the groups is of the same order of magnitude.
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页数:16
相关论文
共 54 条
[1]  
*ATM POLL PAR AR P, 2001, ET SIM QUAL AIR IL F
[2]  
CARPENTER RL, 1990, MON WEATHER REV, V118, P586, DOI 10.1175/1520-0493(1990)118<0586:AOTPPM>2.0.CO
[3]  
2
[4]  
CHAO WC, 1992, MON WEATHER REV, V120, P1661, DOI 10.1175/1520-0493(1992)120<1661:DOAFDV>2.0.CO
[5]  
2
[6]   SENSITIVITY ANALYSIS OF THE ATMOSPHERIC REACTION DIFFUSION EQUATION [J].
CHO, SY ;
CARMICHAEL, GR ;
RABITZ, H .
ATMOSPHERIC ENVIRONMENT, 1987, 21 (12) :2589-2598
[7]  
Daley R., 1991, Atmospheric data analysis
[8]   Variational data assimilation for tropospheric chemistry modeling [J].
Elbern, H ;
Schmidt, H ;
Ebel, A .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1997, 102 (D13) :15967-15985
[9]   Ozone episode analysis by four-dimensional variational chemistry data assimilation [J].
Elbern, H ;
Schmidt, H .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2001, 106 (D4) :3569-3590
[10]   4D-variational data assimilation with an adjoint air quality model for emission analysis [J].
Elbern, H ;
Schmidt, H ;
Talagrand, O ;
Ebel, A .
ENVIRONMENTAL MODELLING & SOFTWARE, 2000, 15 (6-7) :539-548