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A new method to calculate monthly CO emissions using MOPITT satellite data

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【Author】 LIN YunPing1, ZHAO ChunSheng1, PENG Li1 & FANG YuanYuan2 1 Department of Atmospheric Science, School of Physics, Peking University, Beijing 100871, China; 2 Atmospheric and Oceanic Sciences Program, Princeton University, New Jersy, 08540, USA

【摘要】 A new method is developed to calculate monthly CO emission data using MOZART modeled and MOPITT observed CO data in 2004. New CO emission data were obtained with budget analysis of the processes controlling CO concentration such as surface emission, transport, chemical transform and dry deposition. MOPITT data were used to constrain the model simulation. New CO emission data agree well with Horowitz’s emissions in the spatial distributions. Horowitz’s emissions are found to underes- timate CO emissions significantly in the industrial areas of Asia and North America, where high CO emissions are mainly due to the anthropogenic activities. New CO emissions can better reflect the more recent CO actual emissions than Horowitz’s.

【Abstract】 A new method is developed to calculate monthly CO emission data using MOZART modeled and MOPITT observed CO data in 2004. New CO emission data were obtained with budget analysis of the processes controlling CO concentration such as surface emission, transport, chemical transform and dry deposition. MOPITT data were used to constrain the model simulation. New CO emission data agree well with Horowitz’s emissions in the spatial distributions. Horowitz’s emissions are found to underes- timate CO emissions significantly in the industrial areas of Asia and North America, where high CO emissions are mainly due to the anthropogenic activities. New CO emissions can better reflect the more recent CO actual emissions than Horowitz’s.

【关键词】 COemissionMOPITTMOZART
【Key words】 COemissionMOPITTMOZART
【基金】 Supported by the National Natural Science Foundation of China (Grant Nos. 40575060 and 40318001)
  • 【文献出处】 Chinese Science Bulletin ,科学通报(英文版) , 编辑部邮箱 ,2007年18期
  • 【分类号】V557
  • 【被引频次】5
  • 【下载频次】43
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