کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5427345 1508626 2017 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A novel hybrid scattering order-dependent variance reduction method for Monte Carlo simulations of radiative transfer in cloudy atmosphere
ترجمه فارسی عنوان
روش جدید کاهش واریانس وابسته به نظم پراکندگی هیبرید برای شبیه سازی های مونت کارلو انتقال شعاعی در فضای ابری
موضوعات مرتبط
مهندسی و علوم پایه شیمی طیف سنجی
چکیده انگلیسی


- Forward and backward integral radiative transfer theoretical framework is developed.
- Hybrid scattering order-dependent variance reduction algorithm is presented.
- A scattering order sampling algorithm is formulated for phase function truncation.
- Numerical evaluation and optimization are performed order by order.

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 formalism 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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Quantitative Spectroscopy and Radiative Transfer - Volume 189, March 2017, Pages 283-302
نویسندگان
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