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DOI | 10.5194/acp-22-3391-2022 |
A strong statistical link between aerosol indirect effects and the self-similarity of rainfall distributions | |
Furtado, Kalli; Field, Paul | |
发表日期 | 2022 |
ISSN | 1680-7316 |
EISSN | 1680-7324 |
起始页码 | 3391 |
结束页码 | 3407 |
卷号 | 22期号:5页码:17 |
英文摘要 | We use convective-scale simulations of monsoonal clouds to reveal a self-similar probability density function that underpins surface rainfall statistics. This density is independent of cloud-droplet number concentration and is unchanged by aerosol perturbations. It therefore represents an invariant property of our model with respect to cloud-aerosol interactions. For a given aerosol concentration, if the dependence of at least one moment of the rainfall distribution on cloud-droplet number is a known input parameter, then the self-similar density can be used to reconstruct the entire rainfall distribution to a useful degree of accuracy. In particular, we present both single-moment and double-moment reconstructions that are able to predict the responses of the rainfall distributions to changes in aerosol concentration. In doing so, we show that the seemingly high-dimensional space of possible aerosol-induced rainfall-distribution transformations can be parameterised by surprisingly few (at most 3) independent degrees of freedom: the self-similar density and auxiliary information about two moments of the rainfall distribution. Comparisons to convection-permitting forecasts of mid-latitude weather and atmosphere-only global simulations show that the self-similar density is also independent of model physics and background meteorology. A theoretical explanation for this invariance is given, based on numerical results from a stochastic rainfall simulator. This suggests that, although aerosol indirect effects on any specific hydro-meteorological system may be multifarious in terms of rainfall changes and physical mechanisms, there may, nevertheless, be a universal constraint on the number of independent degrees of freedom needed to represent the dependencies of rainfall on aerosols. |
学科领域 | Environmental Sciences; Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
WOS记录号 | WOS:000771206900001 |
来源期刊 | ATMOSPHERIC CHEMISTRY AND PHYSICS
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/273209 |
作者单位 | Met Office - UK |
推荐引用方式 GB/T 7714 | Furtado, Kalli,Field, Paul. A strong statistical link between aerosol indirect effects and the self-similarity of rainfall distributions[J],2022,22(5):17. |
APA | Furtado, Kalli,&Field, Paul.(2022).A strong statistical link between aerosol indirect effects and the self-similarity of rainfall distributions.ATMOSPHERIC CHEMISTRY AND PHYSICS,22(5),17. |
MLA | Furtado, Kalli,et al."A strong statistical link between aerosol indirect effects and the self-similarity of rainfall distributions".ATMOSPHERIC CHEMISTRY AND PHYSICS 22.5(2022):17. |
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