Estimating European emissions of ozone-depleting and greenhouse gases using observations and a modeling back-attribution technique

被引:99
作者
Manning, AJ
Ryall, DB
Derwent, RG
Simmonds, PG
O'Doherty, S
机构
[1] Met Off, Govt Meteorol Res, Bracknell RG12 2SZ, Berks, England
[2] Univ Bristol, Sch Chem, Bristol BS8 1TS, Avon, England
关键词
inverse; modeling; emissions; inventory; CFC; Numerical Atmospheric Dispersion Modeling Environment; LONG-RANGE TRANSPORT; INVERSE METHOD; FLUX ESTIMATION; UNCERTAINTIES; INVENTORIES; HEAD;
D O I
10.1029/2002JD002312
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
[1] The Numerical Atmospheric Dispersion Modeling Environment (NAME) dispersion model driven by three-dimensional (3-D) synoptic meteorology from the Unified Model has been used to determine the fraction of air arriving at Mace Head, Ireland, from different European regions over a 6-year period. These data, along with observations of pollutants at Mace Head and a best fit algorithm, have been used to derive emission estimates over Western Europe. The algorithm starts from randomly generated emission maps and iterates toward the best solution. Using an idealized case study, it has been shown to be effective at distinguishing between distinct source regions. The technique has been applied to two ozone-depleting gases, CFC-11 and CFC-12, and two greenhouse gases, methane and nitrous oxide. The emissions derived compare favorably with existing inventories. The technique is able to provide information regarding the emission distribution across Europe and to estimate area and country contributions; information that for some species is not readily available by other means. It is a different methodology to those currently used and so is a useful tool in verifying existing inventories.
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页数:16
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