气候变化领域集成服务门户(CCPortal): A Path-Tracing Monte Carlo Library for 3-D Radiative Transfer in Highly Resolved Cloudy Atmospheres

CCPortal

DOI	10.1029/2018MS001602
	A Path-Tracing Monte Carlo Library for 3-D Radiative Transfer in Highly Resolved Cloudy Atmospheres
	Villefranque N.; Fournier R.; Couvreux F.; Blanco S.; Cornet C.; Eymet V.; Forest V.; Tregan J.-M.
发表日期	2019
ISSN	19422466
起始页码	2449
结束页码	2473
卷号	11 期号:8
英文摘要	Interactions between clouds and radiation are at the root of many difficulties in numerically predicting future weather and climate and in retrieving the state of the atmosphere from remote sensing observations. The broad range of issues related to these interactions, and to three-dimensional interactions in particular, has motivated the development of accurate radiative tools able to compute all types of radiative metrics, from monochromatic, local, and directional observables to integrated energetic quantities. Building on this community effort, we present here an open-source library for general use in Monte Carlo algorithms. This library is devoted to the acceleration of ray tracing in complex data, typically high-resolution large-domain grounds and clouds. The main algorithmic advances embedded in the library are related to the construction and traversal of hierarchical grids accelerating the tracing of paths through heterogeneous fields in null-collision (maximum cross-section) algorithms. We show that with these hierarchical grids, the computing time is only weakly sensitive to the refinement of the volumetric data. The library is tested with a rendering algorithm that produces synthetic images of cloud radiances. Other examples of implementation are provided to demonstrate potential uses of the library in the context of 3-D radiation studies and parameterization development, evaluation, and tuning. © 2019. The Authors.
英文关键词	3-D radiative transfer; cloud-radiation interactions; complexity; image rendering; large-eddy simulations; Monte Carlo
语种	英语
scopus关键词	Large eddy simulation; Radiative transfer; Remote sensing; Rendering (computer graphics); Three dimensional computer graphics; Volumetric analysis; Cloud-radiation interactions; Cloudy atmospheres; complexity; Image rendering; Monte carlo algorithms; Open-source libraries; Rendering algorithms; Three-dimensional interaction; Monte Carlo methods; algorithm; cloud radiative forcing; data assimilation; image analysis; large eddy simulation; Monte Carlo analysis; parameterization; ray tracing; remote sensing
来源期刊	Journal of Advances in Modeling Earth Systems
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/156885
作者单位	Centre National de Recherches Météorologiques, UMR 3589 CNRS, Météo France, Toulouse, France; Laboratoire Plasma et Conversion d'Énergie, UMR 5213 CNRS, Université Toulouse III, Toulouse, France; Université Lille, CNRS, UMR 8518 - LOA - Laboratoire d'Optique Atmosphérique, Lille, F-59000, France; Méso-Star, Toulouse, France
推荐引用方式 GB/T 7714	Villefranque N.,Fournier R.,Couvreux F.,et al. A Path-Tracing Monte Carlo Library for 3-D Radiative Transfer in Highly Resolved Cloudy Atmospheres[J],2019,11(8).
APA	Villefranque N..,Fournier R..,Couvreux F..,Blanco S..,Cornet C..,...&Tregan J.-M..(2019).A Path-Tracing Monte Carlo Library for 3-D Radiative Transfer in Highly Resolved Cloudy Atmospheres.Journal of Advances in Modeling Earth Systems,11(8).
MLA	Villefranque N.,et al."A Path-Tracing Monte Carlo Library for 3-D Radiative Transfer in Highly Resolved Cloudy Atmospheres".Journal of Advances in Modeling Earth Systems 11.8(2019).