稳态蒸气生长和碰撞聚结粒径分布参数剖面的简单解析表达式

IF 3 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of the Atmospheric Sciences Pub Date : 2023-08-01 DOI:10.1175/jas-d-23-0052.1
E. Dunnavan, A. Ryzhkov
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引用次数: 0

摘要

本研究推导了在蒸汽生长和碰撞聚结与沉降的稳态平衡过程中颗粒数浓度(Nt)和平均体积直径(Dm)的理论高度分布的简单分析表达式。这些方程对于具有决定颗粒下落速度和质量的大小相关幂律函数的雨和雪伽马大小分布都是通用的。仅对于碰撞聚结,Nt(Dm)作为两个高度层之间雷达反射率差的指数函数而减小(增加)。仅对于气相沉积,Dm作为该反射率差的广义幂律而增加。在数量、质量和反射率通量守恒的稳态条件下,同时进行气相沉积和碰撞聚结,得到了Nt和Dm的一阶非线性常微分方程组。这些耦合方程的解是Dm(z)和Nt(z)的高度z的广义幂律函数,其中每个变量以独立于碰撞聚结效率的指数相互关联。与从CRYSTAL-FACE野外活动中下降的原位飞机拉格朗日螺旋剖面获得的观测剖面相比,这些分析解决方案平均可以分别在8%和4%的观测范围内捕获Nt和Dm的高度剖面。与500米MSL的最低可用雷达反演相比,高空雷达反演的稳态模型投影可以产生正确的地表降雪快速增强。未来的研究可以利用这些方程和雷达测量来估计雷达倾斜高度以下的Nt和Dm,并估计不确定的微观物理参数,如碰撞聚结效率。
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Simple Analytical Expressions for Steady-State Vapor Growth and Collision-Coalescence Particle Size Distribution Parameter Profiles
This study derives simple analytical expressions for the theoretical height profiles of particle number concentrations (Nt) and mean volume diameters (Dm) during the steady-state balance of vapor growth and collision-coalescence with sedimentation. These equations are general for both rain and snow gamma size distributions with size-dependent power-law functions that dictate particle fall speeds and masses. For collision-coalescence only, Nt (Dm) decreases (increases) as an exponential function of the radar reflectivity difference between two height layers. For vapor deposition only, Dm increases as a generalized power law of this reflectivity difference. Simultaneous vapor deposition and collision-coalescence under steady-state conditions with conservation of number, mass, and reflectivity fluxes lead to a coupled set of first-order, nonlinear ordinary differential equations for Nt and Dm. The solutions to these coupled equations are generalized power-law functions of height z for Dm(z) and Nt(z) whereby each variable is related to one another with an exponent that is independent of collision-coalescence efficiency. Compared to observed profiles derived from descending in-situ aircraft Lagrangian spiral profiles from the CRYSTAL-FACE field campaign, these analytical solutions can on average capture the height profiles of Nt and Dm within 8% and 4% of observations, respectively. Steady-state model projections of radar retrievals aloft are shown to produce the correct rapid enhancement of surface snowfall compared to the lowest-available radar retrievals from 500 m MSL. Future studies can utilize these equations alongside radar measurements to estimate Nt and Dm below radar tilt elevations and to estimate uncertain microphysical parameters such as collision-coalescence efficiencies.
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来源期刊
Journal of the Atmospheric Sciences
Journal of the Atmospheric Sciences 地学-气象与大气科学
CiteScore
0.20
自引率
22.60%
发文量
196
审稿时长
3-6 weeks
期刊介绍: The Journal of the Atmospheric Sciences (JAS) publishes basic research related to the physics, dynamics, and chemistry of the atmosphere of Earth and other planets, with emphasis on the quantitative and deductive aspects of the subject. The links provide detailed information for readers, authors, reviewers, and those who wish to submit a manuscript for consideration.
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