Evaluation of a three-dimensional chemical transport model (PMCAMx) in the European domain during the EUCAARI May 2008 campaign
Evaluation of a three-dimensional chemical transport model (PMCAMx) in the European domain during the EUCAARI May 2008 campaign
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DOI：
10.5194/acp-11-10331-2011
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发表时间：
2011-01-01
影响因子：
6.3
通讯作者：
Pandis, S. N.
中科院分区：
文献类型：
--
作者：
Fountoukis, C.;Racherla, P. N.;Pandis, S. N.
PMCAMx-2008，一个详细的三维化学传输模式（CTM），被应用到欧洲的颗粒物（PM）的质量浓度和化学成分的模拟在2008年5月。该模型包括一个国家的最先进的有机气溶胶模块，这是基于挥发性基组框架治疗的主要和次要的有机成分作为半挥发性和光化学反应。对高时间分辨率气溶胶质谱仪（AMS）的地面和机载测量模型的性能进行了评估。总体而言，有机气溶胶预计占32%的总PM 1在地面水平在2008年5月，其次是硫酸盐（30%），地壳物质和海盐（14%），铵（13%），硝酸盐（7%），和元素碳（4%）。该模型预测，新鲜的初级OA（POA）是一个小的贡献者有机PM浓度在欧洲春末，含氧物种（氧化初级和生物次级）占主导地位的环境OA。地中海地区是欧洲唯一一个硫酸盐浓度预计远高于OA的地区，而有机物预计是中欧和北方欧洲主要的PM 1种类。模型预测与四个测量站的地面测量结果的比较令人鼓舞。该模型再现了超过94%的每日平均数据和超过87%的每小时数据在2的因素PM 1 OA。该模型倾向于预测相对平坦的昼夜配置文件PM 1 OA在许多地区，农村和城市的协议与现有的测量。在多个高度和位置的高时间分辨率的机载测量的模型的性能是一样好，它的性能对地面水平每小时的测量。在此期间，没有证据表明欧洲上空的OA来源缺失。
PMCAMx-2008, a detailed three-dimensional chemical transport model (CTM), was applied to Europe to simulate the mass concentration and chemical composition of particulate matter (PM) during May 2008. The model includes a state-of-the-art organic aerosol module which is based on the volatility basis set framework treating both primary and secondary organic components as semivolatile and photochemically reactive. The model performance is evaluated against high time resolution aerosol mass spectrometer (AMS) ground and airborne measurements. Overall, organic aerosol is predicted to account for 32% of total PM1 at ground level during May 2008, followed by sulfate (30%), crustal material and sea-salt (14%), ammonium (13%), nitrate (7%), and elemental carbon (4%). The model predicts that fresh primary OA (POA) is a small contributor to organic PM concentrations in Europe during late spring, and that oxygenated species (oxidized primary and biogenic secondary) dominate the ambient OA. The Mediterranean region is the only area in Europe where sulfate concentrations are predicted to be much higher than the OA, while organic matter is predicted to be the dominant PM1 species in central and northern Europe. The comparison of the model predictions with the ground measurements in four measurement stations is encouraging. The model reproduces more than 94% of the daily averaged data and more than 87% of the hourly data within a factor of 2 for PM1 OA. The model tends to predict relatively flat diurnal profiles for PM1 OA in many areas, both rural and urban in agreement with the available measurements. The model performance against the high time resolution airborne measurements at multiple altitudes and locations is as good as its performance against the ground level hourly measurements. There is no evidence of missing sources of OA aloft over Europe during this period.