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A novel hybrid scattering order-dependent variance reduction method for Monte Carlo simulations of radiative transfer in cloudy atmosphere

文献类型：期刊论文

作者Wang, Zhen1; Cui, Shengcheng2; Yang, Jun1; Gao, Haiyang1; Liu, Chao1; Zhang, Zhibo3
刊名JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER
出版日期2017-03-01
卷号189期号:无页码:283-302
关键词Monte Carlo Variance Reduction Atmosphere Order-dependent Integral Radiative Transfer Cloud
DOI10.1016/j.jqsrt.2016.12.002
文献子类Article
英文摘要We present a novel hybrid scattering order-dependent variance reduction method to accelerate the convergence rate in both forward and backward Monte Carlo radiative transfer simulations involving highly forward-peaked scattering phase function. This method is built upon a newly developed theoretical framework that not only unifies both forward and backward radiative transfer in scattering-order dependent integral equation, but also generalizes the variance reduction forthalism in a wide range of simulation scenarios. In previous studies, variance reduction is achieved either by using the scattering phase function forward truncation technique or the target directional importance sampling technique. Our method combines both of them. A novel feature of our method is that all the tuning parameters used for phase function truncation and importance sampling techniques at each order of scattering are automatically optimized by the scattering order-dependent numerical evaluation experiments. To make such experiments feasible, we present a new scattering order sampling algorithm by remodeling integral radiative transfer kernel for the phase function truncation method. The presented method has been implemented in our Multiple-Scaling-based Cloudy Atmospheric Radiative Transfer (MSCART) model for validation and evaluation. The main advantage of the method is that it greatly improves the trade-off between numerical efficiency and accuracy order by order. (C) 2016 The Authors. Published by Elsevier Ltd.
WOS关键词TRANSFER EQUATION ; PHASE FUNCTIONS ; TRUNCATION APPROXIMATION ; TRANSFER MODEL ; LIDAR RETURNS ; ALGORITHMS ; INTEGRATION ; TRANSPORT ; ACCURACY ; SIDES
WOS研究方向Optics ; Spectroscopy
语种英语
WOS记录号WOS:000394060900030
资助机构National Natural Science Foundation of China (NSFC)(41305032) ; National Natural Science Foundation of China (NSFC)(41305032) ; National Natural Science Foundation of China (NSFC)(41305032) ; National Natural Science Foundation of China (NSFC)(41305032) ; National Natural Science Foundation of China (NSFC)(41305032) ; National Natural Science Foundation of China (NSFC)(41305032) ; National Natural Science Foundation of China (NSFC)(41305032) ; National Natural Science Foundation of China (NSFC)(41305032) ; China Scholarship Council(201508320147) ; China Scholarship Council(201508320147) ; China Scholarship Council(201508320147) ; China Scholarship Council(201508320147) ; China Scholarship Council(201508320147) ; China Scholarship Council(201508320147) ; China Scholarship Council(201508320147) ; China Scholarship Council(201508320147) ; NSFC(41571348 ; NSFC(41571348 ; NSFC(41571348 ; NSFC(41571348 ; NSFC(41571348 ; NSFC(41571348 ; NSFC(41571348 ; NSFC(41571348 ; 41304124) ; 41304124) ; 41304124) ; 41304124) ; 41304124) ; 41304124) ; 41304124) ; 41304124) ; National Natural Science Foundation of China (NSFC)(41305032) ; National Natural Science Foundation of China (NSFC)(41305032) ; National Natural Science Foundation of China (NSFC)(41305032) ; National Natural Science Foundation of China (NSFC)(41305032) ; National Natural Science Foundation of China (NSFC)(41305032) ; National Natural Science Foundation of China (NSFC)(41305032) ; National Natural Science Foundation of China (NSFC)(41305032) ; National Natural Science Foundation of China (NSFC)(41305032) ; China Scholarship Council(201508320147) ; China Scholarship Council(201508320147) ; China Scholarship Council(201508320147) ; China Scholarship Council(201508320147) ; China Scholarship Council(201508320147) ; China Scholarship Council(201508320147) ; China Scholarship Council(201508320147) ; China Scholarship Council(201508320147) ; NSFC(41571348 ; NSFC(41571348 ; NSFC(41571348 ; NSFC(41571348 ; NSFC(41571348 ; NSFC(41571348 ; NSFC(41571348 ; NSFC(41571348 ; 41304124) ; 41304124) ; 41304124) ; 41304124) ; 41304124) ; 41304124) ; 41304124) ; 41304124)
源URL[http://ir.hfcas.ac.cn:8080/handle/334002/32913]  
专题合肥物质科学研究院_中科院安徽光学精密机械研究所
作者单位1.Nanjing Univ Informat Sci & Technol, Sch Atmospher Phys, Key Lab Aerosol Cloud Precipitat, China Meteorol Adm, Nanjing 210044, Jiangsu, Peoples R China
2.Chinese Acad Sci, Anhui Inst Opt & Fine Mech, Key Lab Atmospher Composit & Opt Radiat, Hefei 230031, Peoples R China
3.Univ Maryland, Dept Phys, Baltimore, MD 21250 USA
推荐引用方式
GB/T 7714		 Wang, Zhen,Cui, Shengcheng,Yang, Jun,et al. A novel hybrid scattering order-dependent variance reduction method for Monte Carlo simulations of radiative transfer in cloudy atmosphere[J]. JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER,2017,189(无):283-302.
APA Wang, Zhen,Cui, Shengcheng,Yang, Jun,Gao, Haiyang,Liu, Chao,&Zhang, Zhibo.(2017).A novel hybrid scattering order-dependent variance reduction method for Monte Carlo simulations of radiative transfer in cloudy atmosphere.JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER,189(无),283-302.
MLA Wang, Zhen,et al."A novel hybrid scattering order-dependent variance reduction method for Monte Carlo simulations of radiative transfer in cloudy atmosphere".JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER 189.无(2017):283-302.

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来源：合肥物质科学研究院

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