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首页> 外文期刊>Atmospheric chemistry and physics >Comment on 'Reduced efficacy of marine cloud brightening geoengineering due to in-plume aerosol coagulation: parameterization and global implications' by Stuart et al. (2013)
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Comment on 'Reduced efficacy of marine cloud brightening geoengineering due to in-plume aerosol coagulation: parameterization and global implications' by Stuart et al. (2013)

机译：Stuart等人评论“由于在管内气溶胶凝结导致海洋云增亮地球工程的功效降低：参数化和全球影响”。 （2013年）

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We examine the parameterized model of Stuart et al. (2013) vis-a-vis a diffusion-based model proposed by us earlier (Anand and Mayya, 2011) to estimate the fraction of aerosol particles surviving coagulation in a dispersing plume. While the Stuart et al. approach is based on the solutions to the coagulation problem in an expanding plume model, the diffusion-based approach solves the diffusion-coagulation equation for a steady-state standing plume to arrive at the survival fraction correlations. We discuss the differences in the functional forms of the survival fraction expressions obtained in the two approaches and compare the results for the case studies presented in Stuart et al. (2013) involving different particle emission rates and atmospheric stability categories. There appears to be a better agreement between the two models at higher survival fractions as compared to lower survival fractions; on the whole, the two models agree with each other within a difference of 10 %. The diffusion-based expression involves a single exponent fit to a theoretically generated similarity variable combining the parameters of the problem with inbuilt exponents and hence avoids the multi-exponent parameterization exercise. It also possesses a wider range of applicability in respect of the source and atmospheric parameters as compared to that based on parameterization. However, in the diffusion model, the choice of a representative value for the coagulation coefficient is more prescriptive than rigorous, which has been addressed in a more satisfactory manner by the parameterization method. The present comparative exercise, although limited in scope, confirms the importance of aerosol microphysical processes envisaged by Stuart et al. for cloud brightening applications. In a larger context, it seems to suggest that either of the two forms of expressions might be suitable for incorporation into global-/regional-scale air pollution models for predicting the contribution of localized sources to the particle number loading in the atmosphere.
机译：我们研究了Stuart等人的参数化模型。 （2013）相对于我们之前提出的基于扩散的模型（Anand和Mayya，2011），该模型用于估计在弥散羽流中幸存的悬浮颗粒中的气溶胶颗粒比例。而斯图尔特等。该方法基于扩展羽状模型中凝结问题的解决方案，基于扩散的方法求解稳态立羽的扩散-凝结方程，从而得出存活分数相关性。我们讨论了在两种方法中获得的生存分数表达的功能形式的差异，并比较了Stuart等人提出的案例研究的结果。 （2013年）涉及不同的颗粒物排放速率和大气稳定性类别。与较低的生存率相比，两个模型在较高的生存率上似乎有更好的一致性。总体而言，两个模型彼此相差10％以内。基于扩散的表达式涉及将理论参数与内置指数相结合的理论上生成的相似性变量的单个指数拟合，因此避免了多指数参数化工作。与基于参数化的方法相比，它在源和大气参数方面具有更广泛的适用性。但是，在扩散模型中，对于凝结系数的代表值的选择要比严格的要求更严格，这已通过参数化方法以更令人满意的方式得到解决。尽管范围有限，但本比较实验证实了Stuart等人设想的气溶胶微物理过程的重要性。云增亮应用程序。在更大的范围内，似乎暗示这两种表达形式中的任何一种都可能适合纳入全球/区域尺度的空气污染模型中，以预测局部来源对大气中颗粒物数量的贡献。

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