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Description and evaluation of GMXe: a new aerosol submodel for global simulations (v1)

机译:GMXe的描述和评估:用于全局模拟(v1)的新气溶胶子模型

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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. 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.
机译:我们介绍了在ECHAM / MESSy大气化学模型(EMAC,版本1.8)中实施的新的气溶胶微物理学和气体气溶胶分配子模型(Global Modal-aerosol eXtension,GMXe)。该子模型计算效率高,适用于使用全局和区域模型的中长期仿真。使用7种对数正态模式处理气溶胶粒径分布,并且具有与M7亚模型相同的微物理核心(Vignati等,2004)。这项工作的主要进展是:(i)扩展了气溶胶排放程序和M7微观物理学,以便可以处理更多(可变)气溶胶种类(新的种类包括钠和氯,以及潜在的镁,钙和钾),(ii)将气溶胶微观物理学与选择的气体/气溶胶分配处理方法结合起来,以处理半挥发性气溶胶,以及(iii)在开发过程中对已开发的子模型进行实施和评估大气化学的EMAC模型。所显示的黑碳,有机颗粒物,粉尘,海浪,硫酸盐和铵气溶胶的模拟浓度与观测值吻合良好(对于所有物种,至少40%的模型值在观测值的2倍之内)。将硝酸盐气溶胶的分布与清洁和污染地区的观测值进行比较。对污染大陆地区的浓度进行了很好的模拟,但普遍存在高估硝酸盐的趋势,尤其是在沿海地区(建模值的几何平均值/观测数据的几何平均值≈2)。在所有地区中,超过40%的硝酸盐浓度都在两个观测值的范围之内。可以很好地捕获海洋硝酸盐浓度,其中96%的模拟值在两倍于观察值的范围内。

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