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DOI10.5194/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
ISSN1680-7316
EISSN1680-7324
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
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
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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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