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首页> 外文期刊>Environmental Science & Technology >Cmaq Model Performance Enhanced When In-cloud Secondary Organic Aerosol Is Included: Comparisons Of Organic Carbon Predictions With Measurements
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Cmaq Model Performance Enhanced When In-cloud Secondary Organic Aerosol Is Included: Comparisons Of Organic Carbon Predictions With Measurements

机译：包括云内次级有机气溶胶时，Cmaq模型的性能得到增强：有机碳预测与测量值的比较

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摘要

Mounting evidence suggests that low-volatility (particle-phase) organic compounds form in the atmosphere through aqueous phase reactions in clouds and aerosols. Although some models have begun including secondary organic aerosol (SOA) formation through cloud processing, validation studies that compare predictions and measurements are needed. In this work, agreement between modeled organic carbon (OC) and aircraft measurements of water soluble OC improved for all 5 of the compared ICARTT NOAA-P3 flights during August when an in-cloud SOA (SOA_(cld)) formation mechanism was added to CMAQ (a regional-scale atmospheric model). The improvement was most dramatic for the August 14th flight, a flight designed specifically to investigate clouds. During this flight, the normalized mean bias for layer-averaged OC was reduced from -64 to -15% and correlation (r) improved from 0.5 to 0.6. Underpredictions of OC aloft by atmospheric models may be explained, in part, by this formation mechanism (SOA_(cld)). OC formation aloft contributes to long-range pollution transport and has implications to radiative forcing, regional air quality and climate.
机译：越来越多的证据表明，低挥发性（颗粒相）有机化合物是通过云层和气溶胶中的水相反应在大气中形成的。尽管一些模型已经开始包括通过云处理形成二次有机气溶胶（SOA），但仍需要进行比较预测和测量结果的验证研究。在这项工作中，当在8月将云中SOA（SOA_（cld））形成机制添加到云中时，模拟的所有有机碳（OC）和飞机水溶性OC测量之间的一致性在所有5次比较的ICARTT NOAA-P3飞行中得到了改善CMAQ（区域尺度的大气模型）。对于8月14日的航班而言，这种改进最为显着，这是专门为研究云而设计的航班。在此飞行过程中，层平均OC的归一化平均偏差从-64降低到-15％，相关性（r）从0.5改进到0.6。大气模型对高空OC的预测不足可能部分是由这种形成机制（SOA_（cld））解释的。高OC的形成有助于长距离的污染物传输，并影响辐射强迫，区域空气质量和气候。

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