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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：评论“海洋云增白地球化因羽流气溶胶凝固的效果降低：参数化和全球含义”由Stuart等人进行。 （2013）

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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：我们检查Stuart等人的参数化模型。 （2013年）对美国提前（Anand和Mayya，2011）提出的基于扩散的模型来估计在分散羽流中存活凝固的气溶胶颗粒的分数。而stuart等人。方法基于对扩展羽模型的凝固问题的解决方案，扩散的方法解决了稳态站羽流的扩散凝结方程，以达存活率分数相关性。我们讨论了两种方法中获得的存活分数表达式的功能形式的差异，并比较STUART等人的案例研究的结果。 （2013）涉及不同的粒子排放率和大气稳定类别。与较低的存活部分相比，在较高的存活率下，两种模型之间似乎在更好的同意;总的来说，这两个模型在10％的差异范围内彼此同意。基于扩散的表达式涉及单个指数拟合到理论上生成的相似性变量，其与内置指数的问题的参数相结合，因此避免了多指数参数化练习。与基于参数化相比，它还拥有源和大气参数的更广泛的适用性。然而，在扩散模型中，凝固系数的代表值的选择比严格的是更规则的，这通过参数化方法以更令人满意的方式寻址。目前的比较运动虽然范围有限，但确认了斯图尔特等人所设想的气溶胶微神科过程的重要性。用于云增白的应用。在更大的背景下，似乎表明两种形式的表达中的任何一种都适合于纳入全球/区域规模的空气污染模型，以预测本地化来源对大气中粒子数负荷的贡献。

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