McSnow: A Monte‐Carlo Particle Model for Riming and Aggregation of Ice Particles in a Multidimensional Microphysical Phase Space
McSnow: A Monte‐Carlo Particle Model for Riming and Aggregation of Ice Particles in a Multidimensional Microphysical Phase Space
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McSnow：多维微物理相空间中冰粒子的沸腾和聚集的蒙特卡洛粒子模型
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
A. Seifert
中科院分区：
文献类型：
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作者：
S. Brdar;A. Seifert
我们提出了一种新的蒙特卡罗冰微物理模型，McSnow，模拟由于沉积，聚集，成霜和沉积的冰粒的演变。该模型是Shima等人（2009）的超级液滴方法在更复杂的有边冰粒和聚集体问题上的应用和扩展。对于每个单独的超级颗粒，预测冰质量、雾凇质量、雾凇体积和单体数量，建立四维粒度分布。基于箱模型和一维模拟讨论了模型对各种假设的敏感性。我们表明，蒙特卡罗方法提供了一种可行的方法来解决这个高维问题。最大的不确定性似乎是有关的治疗的成霜过程。这就要求对部分有霜的雪花进行额外的实地和实验室测量。
We present a novel Monte‐Carlo ice microphysics model, McSnow, to simulate the evolution of ice particles due to deposition, aggregation, riming, and sedimentation. The model is an application and extension of the super‐droplet method of Shima et al. (2009) to the more complex problem of rimed ice particles and aggregates. For each individual super‐particle, the ice mass, rime mass, rime volume, and the number of monomers are predicted establishing a four‐dimensional particle‐size distribution. The sensitivity of the model to various assumptions is discussed based on box model and one‐dimensional simulations. We show that the Monte‐Carlo method provides a feasible approach to tackle this high‐dimensional problem. The largest uncertainty seems to be related to the treatment of the riming processes. This calls for additional field and laboratory measurements of partially rimed snowflakes.