A Method for Adaptive Habit Prediction in Bulk Microphysical Models. Part II: Parcel Model Corroboration
A Method for Adaptive Habit Prediction in Bulk Microphysical Models. Part II: Parcel Model Corroboration
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体微物理模型中的适应性习惯预测方法。
DOI：
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
H. Morrison
中科院分区：
文献类型：
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作者：
J. Harrington;K. Sulia;H. Morrison
摘要 云微物理模型通常使用单轴长度来表征冰晶。这些方法使用等效球体的直径或质量尺寸方程结合电容模型来封闭冰蒸气扩散方程。单轴方法不自然地限制了生长，因为真实的晶体至少沿着两个轴方向演化。因此，他们无法重现质量混合比、最大尺寸和质量加权下落速度的同时变化。虽然质量-尺寸关系有时可以以相对较低的误差捕获其中一种属性的演化，但其他属性通常会被低估或高估 20%–40%。本研究的第一部分描述了一种自适应习惯方法，该方法进化两个轴维度，允许长宽比变化和质量混合比进化之间的反馈。自适应习惯方法通过预测数量和质量混合比以及两个轴长度混合比来演化粒子习惯。康帕...
AbstractIt is common for cloud microphysical models to use a single axis length to characterize ice crystals. These methods use either the diameter of an equivalent sphere or mass–size equations in conjunction with the capacitance model to close the equations for ice vapor diffusion. Single-axis methods unnaturally constrain growth because real crystals evolve along at least two axis directions. Thus, they are unable to reproduce the simultaneous variation in mass mixing ratio, maximum dimension, and mass-weighted fall speeds. While mass–size relations can at times capture the evolution of one of these with relatively low errors, the other properties are generally under- or overpredicted by 20%–40%. Part I of this study describes an adaptive habit method that evolves two axis dimensions, allowing feedbacks between aspect ratio changes and mass mixing-ratio evolution. The adaptive habit method evolves particle habit by prognosing number and mass mixing ratios along with two axis length mixing ratios. Compa...
影响因子：
6.3
作者：
Connolly P
通讯作者：
Connolly P