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A new method to calculate monthly CO emissions using MOPITT satellite data
  • 时间:0
  • 分类:X831[环境科学与工程—环境工程]
  • 作者机构:[1]Department of Atmospheric Science, School of Physics, Peking University, Seijing 100871, China, [2]Atmospheric and Oceanic Sciences Program, Princeton University, New Jersy, 08540, USA
  • 相关基金:Supported by the National Natural Science Foundation of China (Grant Nos. 40575060 and 40318001 )The M0PITT datasets used here were obtained from NASA Data Center, and the M0ZART models were provided by NCAR ACD. The authors also thank two anonymous reviewers for their comments.
  • 相关项目:利用MOPITT的CO卫星资料计算全球CO源排放的方法研究
中文摘要:

一个新方法被开发推测用莫札特的每月的公司排放数据在 2004 为公司数据建模, MOPITT 观察了。新公司排放数据与控制象表面排放,运输,化学变换和干燥免职那样的公司集中的进程的预算分析被获得。MOPITT 数据被用来抑制模型模拟。新公司排放数据与 Horowitz 同意很好“在空间分布的 s 排出物。Horowitz “ s 排出物被发现在亚洲和北美洲的工业区域显著地低估公司排出物,在高公司排出物主要由于人为的活动的地方。新公司排出物能更好比 Horowitz 反映更最近的公司实际排出物“ s。

英文摘要:

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 underestimate 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.

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