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首页> 外文期刊>Atmospheric chemistry and physics >Predicting the mineral composition of dust aerosols - Part 2: Model evaluation and identification of key processes with observations
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Predicting the mineral composition of dust aerosols - Part 2: Model evaluation and identification of key processes with observations

机译：预测粉尘气溶胶的矿物成分-第2部分：模型评估和关键过程的识别和观测

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A global compilation of nearly sixty measurement studies is used to evaluate two methods of simulating the mineral composition of dust aerosols in an Earth system model. Both methods are based upon a Mean Mineralogical Table (MMT) that relates the soil mineral fractions to a global atlas of arid soil type. The Soil Mineral Fraction (SMF) method assumes that the aerosol mineral fractions match the fractions of the soil. The MMT is based upon soil measurements after wet sieving, a process that destroys aggregates of soil particles that would have been emitted from the original, undisturbed soil. The second method approximately reconstructs the emitted aggregates. This model is referred to as the Aerosol Mineral Fraction (AMF) method because the mineral fractions of the aerosols differ from those of the wet-sieved parent soil, partly due to reaggregation. The AMF method remedies some of the deficiencies of the SMF method in comparison to observations. Only the AMF method exhibits phyllosilicate mass at silt sizes, where they are abundant according to observations. In addition, the AMF quartz fraction of silt particles is in better agreement with measured values, in contrast to the overestimated SMF fraction. Measurements at distinct clay and silt particle sizes are shown to be more useful for evaluation of the models, in contrast to the sum over all particles sizes that is susceptible to compensating errors, as illustrated by the SMF experiment. Model errors suggest that allocation of the emitted silt fraction of each mineral into the corresponding transported size categories is an important remaining source of uncertainty. Evaluation of both models and the MMT is hindered by the limited number of size-resolved measurements of mineral content that sparsely sample aerosols from the major dust sources. The importance of climate processes dependent upon aerosol mineral composition shows the need for global and routine mineral measurements.
机译：在全球范围内进行了近六十项测量研究的汇编，用于评估在地球系统模型中模拟粉尘气溶胶矿物成分的两种方法。两种方法均基于平均矿物学表（MMT），该表将土壤矿物成分与干旱土壤类型的全球地图集相关联。土壤矿物分数（SMF）方法假定气溶胶矿物分数与土壤分数匹配。 MMT基于湿筛后的土壤测量结果，该过程会破坏原本不受干扰的土壤中散发出来的土壤颗粒聚集体。第二种方法大致重建发射的聚合。该模型被称为“气溶胶矿物质级分”（AMF）方法，因为气溶胶的矿物质级分与湿筛母土壤的矿物级分不同，部分是由于重新聚集。与观测值相比，AMF方法弥补了SMF方法的一些不足。只有AMF方法在粉尘大小下显示出页硅酸盐质量，根据观察，这些含量丰富。另外，与高估的SMF分数相比，粉砂颗粒的AMF石英分数与测量值更好地吻合。如SMF实验所示，与所有容易受到补偿误差影响的颗粒尺寸的总和相比，在不同的粘土和粉土颗粒尺寸上的测量显示出对模型评估更为有用。模型误差表明，将每种矿物的排放淤泥比例分配到相应的运输粒度类别中是造成不确定性的重要因素。对模型和MMT的评估受到矿物质含量的尺寸分辨测量的限制，这些测量稀疏地从主要粉尘源中采样了气溶胶。气候过程的重要性取决于气溶胶矿物成分，这表明需要进行全球和常规的矿物测量。

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