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DOI | 10.1029/2020GL090152 |
On the Relationship Between Shallow Cumulus Cloud Field Properties and Surface Solar Irradiance | |
Gristey J.J.; Feingold G.; Glenn I.B.; Schmidt K.S.; Chen H. | |
发表日期 | 2020 |
ISSN | 0094-8276 |
卷号 | 47期号:22 |
英文摘要 | Shallow cumulus clouds exhibit highly three-dimensional (3-D) spatial structure leading to complex variability in the surface solar irradiance (SSI) beneath. This variability is captured by the typically bimodal shape of the SSI probability density function (PDF). Using large eddy simulation to generate well-resolved cloud fields and Monte Carlo 3-D radiative transfer to reproduce realistic associated SSI PDFs, we seek direct relationships between the cloud field properties and the SSI PDF shape. Applying both random forest and artificial neural network algorithms, we find variations in the two modes of the SSI PDF are well predicted by just a handful of cloud field properties. The two algorithms utilize cloud properties similarly, with indistinguishable performance despite their different architectures. These results offer a marked improvement in realism relative to one-dimensional radiative transfer while bypassing computationally expensive 3-D radiative transfer, with immediate application to renewable energy assessments, and potential for several other geophysical applications. © 2020. The Authors. |
英文关键词 | Clouds; Decision trees; Large eddy simulation; Monte Carlo methods; Neural networks; Radiative transfer; Solar radiation; Artificial neural network algorithm; Geophysical applications; Probability density function (pdf); Renewable energy assessments; Shallow cumulus clouds; Solar irradiances; Spatial structure; Threedimensional (3-d); Probability density function; artificial neural network; cumulus; geophysical method; large eddy simulation; probability density function; radiative transfer; simulation; solar radiation |
语种 | 英语 |
来源期刊 | Geophysical Research Letters
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/169473 |
作者单位 | Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, United States; NOAA Chemical Sciences Laboratory, Boulder, CO, United States; Joint Institute for Regional Earth System Science and Engineering (JIFRESSE), University of California Los Angeles, Los Angeles, CA, United States; Laboratory for Atmospheric and Space Physics, University of Colorado, Boulder, CO, United States; Department of Atmospheric and Oceanic Sciences, University of Colorado, Boulder, CO, United States |
推荐引用方式 GB/T 7714 | Gristey J.J.,Feingold G.,Glenn I.B.,et al. On the Relationship Between Shallow Cumulus Cloud Field Properties and Surface Solar Irradiance[J],2020,47(22). |
APA | Gristey J.J.,Feingold G.,Glenn I.B.,Schmidt K.S.,&Chen H..(2020).On the Relationship Between Shallow Cumulus Cloud Field Properties and Surface Solar Irradiance.Geophysical Research Letters,47(22). |
MLA | Gristey J.J.,et al."On the Relationship Between Shallow Cumulus Cloud Field Properties and Surface Solar Irradiance".Geophysical Research Letters 47.22(2020). |
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