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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >DEDUCING CCL3F EMISSIONS USING AN INVERSE METHOD AND CHEMICAL TRANSPORT MODELS WITH ASSIMILATED WINDS
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DEDUCING CCL3F EMISSIONS USING AN INVERSE METHOD AND CHEMICAL TRANSPORT MODELS WITH ASSIMILATED WINDS

机译：用逆风和化学风模型推算CCL3F排放

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The ability of inverse modeling to deduce the sources of CCl3F using a chemical transport model based on assimilated winds is examined. The sources of CCl3F are relatively well known and thus offer an opportunity to test methodologies that can be used to estimate the source strengths of trace gases whose sources are less well constrained. The Model of Atmospheric Transport and Chemistry (MATCH) is used in combination with assimilated winds from the European Center for Medium-Range Weather Forecasts (ECMWF) operational analysis and National Center for Environmental Prediction (NCEP)/National Center for Atmospheric Research reanalysis. Using our best a priori information about the emissions, comparisons are made between model simulations and observations at nine observing stations from the Atmospheric Lifetime Experiment/Global Atmospheric Gases Experiment and the Climate Monitoring and Diagnostics Laboratory networks. The model simulates many features of pollution events and seasonal variability with both wind data sets. However, the interhemispheric gradient is too strong in the simulations with the ECMWF winds, although it is accurate with the NCEP winds. A recursive weighted least squares inverse method is used to determine the magnitude of emissions from five regions. The total magnitude as well as the hemispheric distribution of the sources of CCl3F are correctly estimated using the combination of the observations, model transport, and assumed a priori emission distribution. However, longitudinal source information is more difficult to estimate from observations. A sensitivity study suggests that locating the observing stations closer to the source regions would improve the ability of the inverse method to deduce longitudinal information about the sources. [References: 66]
机译：使用基于同化风的化学传输模型，研究了逆向建模推断CCl3F来源的能力。 CCl3F的来源是众所周知的，因此提供了一个机会来测试可用于估算其来源不太严格的痕量气体的来源强度的方法。大气运输和化学模型（MATCH）与欧洲中距离天气预报中心（ECMWF）运营分析和国家环境预测中心（NCEP）/国家大气研究中心重新分析的同化风结合使用。利用我们关于排放的最佳先验信息，对来自大气寿命实验/全球大气气体实验以及气候监测与诊断实验室网络的9个观测站的模型模拟和观测结果进行了比较。该模型使用两个风数据集模拟了污染事件和季节性变化的许多特征。但是，在ECMWF风的模拟中，半球间梯度太大，尽管在NCEP风中是准确的。递归加权最小二乘逆方法用于确定五个区域的排放量。使用观测值，模型传输和假定的先验排放分布的组合，可以正确估算CCl3F源的总大小以及半球分布。但是，纵向源信息更难从观测中估计。一项敏感性研究表明，将观测站放置在离源区较近的位置将提高反演方法推论有关源纵向信息的能力。 [参考：66]

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