Balance of Emission and Dynamical Controls on Ozone During the Korea-United States Air Quality Campaign From Multiconstituent Satellite Data Assimilation
Balance of Emission and Dynamical Controls on Ozone During the Korea-United States Air Quality Campaign From Multiconstituent Satellite Data Assimilation
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DOI：
10.1029/2018jd028912
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发表时间：
2019-01-16
影响因子：
4.4
通讯作者：
Emmons, L. K.
中科院分区：
文献类型：
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作者：
Miyazaki, K.;Sekiya, T.;Emmons, L. K.
从臭氧监测仪器（OMI）、全球臭氧监测实验2、对流层污染测量、微波临边探测器、和大气红外探测仪（AIRS）/OMI被用来了解控制空气污染的过程中，韩国-美国空气质量（KORUS-AQ）运动。韩国的NOx排放量估计为0.42TgN，CO排放量估计为1.1Tg CO，分别比先验的自下而上清单高出40%和83%，平均臭氧浓度增加了7.51.6ppbv。所观察到的边界层臭氧超过90 ppbv的首尔停滞阶段，而它是约60 ppbv的动力条件下，相当于排放量。化学再分析表明，首尔上空的平均臭氧浓度（75.107.6ppbv）持续高于700 hPa上更广泛的KORUS-AQ区域（70.59.2ppbv）。对流层自由OH的大偏差减少（>75%）表明，多物种同化对于平衡对流层化学分析和排放至关重要。同化性能取决于特定的阶段。虽然数据同化领域的评估表明，在臭氧（小于5 ppbv的偏差），CO，NO2，SO2，PAN和OH配置文件，较低的对流层臭氧分析误差是最大的停滞条件下，飞机测量的协议得到了改善，而模型误差主要是由动态天气条件下的数据同化。同化新的AIRS/OMI臭氧廓线可进一步减少误差，特别是在动态天气条件下。我们的研究结果显示了动力学和排放对污染和化学同化系统性能的重要平衡。简单的语言摘要从卫星反演同化获得的全球多组分浓度和排放场用于了解韩国美国期间控制空气污染的过程。空气质量（KORUS-AQ）活动。我们的研究结果表明，重要的平衡动力学和排放污染和化学同化系统的性能。
Global multiconstituent concentration and emission fields obtained from the assimilation of the satellite retrievals of ozone, CO, NO2, HNO3, and SO2 from the Ozone Monitoring Instrument (OMI), Global Ozone Monitoring Experiment 2, Measurements of Pollution in the Troposphere, Microwave Limb Sounder, and Atmospheric Infrared Sounder (AIRS)/OMI are used to understand the processes controlling air pollution during the Korea-United States Air Quality (KORUS-AQ) campaign. Estimated emissions in South Korea were 0.42TgN for NOx and 1.1Tg CO for CO, which were 40% and 83% higher, respectively, than the a priori bottom-up inventories, and increased mean ozone concentration by up to 7.51.6ppbv. The observed boundary layer ozone exceeded 90ppbv over Seoul under stagnant phases, whereas it was approximately 60ppbv during dynamical conditions given equivalent emissions. Chemical reanalysis showed that mean ozone concentration was persistently higher over Seoul (75.107.6ppbv) than the broader KORUS-AQ domain (70.59.2ppbv) at 700hPa. Large bias reductions (>75%) in the free tropospheric OH show that multiple-species assimilation is critical for balanced tropospheric chemistry analysis and emissions. The assimilation performance was dependent on the particular phase. While the evaluation of data assimilation fields shows an improved agreement with aircraft measurements in ozone (to less than 5ppbv biases), CO, NO2, SO2, PAN, and OH profiles, lower tropospheric ozone analysis error was largest at stagnant conditions, whereas the model errors were mostly removed by data assimilation under dynamic weather conditions. Assimilation of new AIRS/OMI ozone profiles allowed for additional error reductions, especially under dynamic weather conditions. Our results show the important balance of dynamics and emissions both on pollution and the chemical assimilation system performance.Plain Language Summary Global multi-constituent concentration and emission fields obtained from the assimilation of the satellite retrievals are used to understand the processes controlling air pollution during the Korea U.S.-Air Quality (KORUS-AQ) campaign. Our results show the important balance of dynamics and emissions both on pollution and the chemical assimilation system performance.