Geoscientific Model Development Description and evaluation of GMXe : a new aerosol submodel for global simulations ( v 1 )
Geoscientific Model Development Description and evaluation of GMXe : a new aerosol submodel for global simulations ( v 1 )
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发表时间：
2010
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通讯作者：
K. Pringle;H. Tost;S. Metzger;B. Steil;D. Giannadaki;A. Nenes;C. Fountoukis;P. Stier;E. Vignati;J. Lelieveld
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作者：
K. Pringle;H. Tost;S. Metzger;B. Steil;D. Giannadaki;A. Nenes;C. Fountoukis;P. Stier;E. Vignati;J. Lelieveld
我们提出了一个新的气溶胶微物理和气体气溶胶分区子模型（全球模态气溶胶扩展，GMITOS）内实现的ECHAM/MESSy大气化学模型（EMAC，版本1.8）。该子模型计算效率高，适用于全球和区域模型的中长期模拟。气溶胶粒度分布使用7个对数正态模式处理，并且具有与M7子模型相同的微物理核心（Vignati等人，2004年）。这项工作的主要进展是：（i）扩展气溶胶排放程序和M7微物理学，可以处理（和可变）数量的气溶胶种类（新物种包括钠和氯，可能还有镁、钙和钾），（ii）将气溶胶微物理学与气体/气溶胶分离的处理选择相结合，以允许处理半挥发性气溶胶，以及，在EMAC大气化学模式内实施和评价所开发的子模式。黑碳，颗粒有机物，灰尘，海喷雾，硫酸盐和铵气溶胶的模拟浓度与观测结果吻合良好（对于所有物种，至少40%的模拟值在2倍的观测值范围内）。硝酸盐气溶胶的分布进行了比较，在清洁和污染地区的观察。通信地址：K. J. Pringle（kirsty. pringle@www.example.com）受污染的大陆区域的浓度模拟得相当好，但总的趋势是高估硝酸盐，特别是在沿海区域（模拟值的几何平均数/观测数据的几何平均数）。在所有被认为是硝酸盐浓度超过40%的地区是在两个因素的观察。海洋硝酸盐浓度很好地捕捉到96%的模拟值的2个因素内的观察。
We present a new aerosol microphysics and gas aerosol partitioning submodel (Global Modal-aerosol eXtension, GMXe) implemented within the ECHAM/MESSy Atmospheric Chemistry model (EMAC, version 1.8). The submodel is computationally efficient and is suitable for medium to long term simulations with global and regional models. The aerosol size distribution is treated using 7 log-normal modes and has the same microphysical core as the M7 submodel (Vignati et al., 2004). The main developments in this work are: (i) the extension of the aerosol emission routines and the M7 microphysics, so that an increased (and variable) number of aerosol species can be treated (new species include sodium and chloride, and potentially magnesium, calcium, and potassium), (ii) the coupling of the aerosol microphysics to a choice of treatments of gas/aerosol partitioning to allow the treatment of semi-volatile aerosol, and, (iii) the implementation and evaluation of the developed submodel within the EMAC model of atmospheric chemistry. Simulated concentrations of black carbon, particulate organic matter, dust, sea spray, sulfate and ammonium aerosol are shown to be in good agreement with observations (for all species at least 40% of modeled values are within a factor of 2 of the observations). The distribution of nitrate aerosol is compared to observations in both clean and polluted regions. Correspondence to: K. J. Pringle (kirsty.pringle@mpic.de) Concentrations in polluted continental regions are simulated quite well, but there is a general tendency to overestimate nitrate, particularly in coastal regions (geometric mean of modelled values/geometric mean of observed data ≈2). In all regions considered more than 40% of nitrate concentrations are within a factor of two of the observations. Marine nitrate concentrations are well captured with 96% of modeled values within a factor of 2 of the observations.