Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1175/JAS-D-18-0349.1 |
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Mares Barekzai; Bernhard Mayer | |
2020-05-21 | |
发表期刊 | Journal of the Atmospheric Sciences
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出版年 | 2020 |
英文摘要 | Despite impressive advances in rain forecasts over the past decades, our understanding of rain formation on a microphysical scale is still poor. Droplet growth initially occurs through diffusion and, for sufficiently large radii, through the collision of droplets. However, there is no consensus on the mechanism to bridge the condensation coalescence bottleneck. We extend the analysis of prior methods by including radiatively enhanced diffusional growth (RAD) to a Markovian turbulence parameterization. This addition increases the diffusional growth efficiency by allowing for emission and absorption of thermal radiation. Specifically, we quantify an upper estimate for the radiative effect by focusing on droplets close to the cloud boundary. The strength of this simple model is that it determines growth-rate dependencies on a number of parameters, like updraft speed and the radiative effect, in a deterministic way. Realistic calculations with a cloud-resolving model are sensitive to parameter changes, which may cause completely different cloud realizations and thus it requires considerable computational power to obtain statistically significant results. The simulations suggest that the addition of radiative cooling can lead to a doubling of the droplet size standard deviation. However, the magnitude of the increase depends strongly on the broadening established by turbulence, due to an increase in the maximum droplet size, which accelerates the production of drizzle. Furthermore, the broadening caused by the combination of turbulence and thermal radiation is largest for small updrafts and the impact of radiation increases with time until it becomes dominant for slow synoptic updrafts. |
领域 | 地球科学 ; 气候变化 |
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文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/270413 |
专题 | 地球科学 气候变化 |
推荐引用方式 GB/T 7714 |
Mares Barekzai,Bernhard Mayer. ![]() |
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Mares Barekzai,&Bernhard Mayer.(2020).![]() |
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Mares Barekzai,et al."![]() |
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