Development of Rigorous Computational Capabilities Based on the Invariant Imbedding Principle for the Simulation of the Optical Properties of Dust and Ice Crystals
Development of Rigorous Computational Capabilities Based on the Invariant Imbedding Principle for the Simulation of the Optical Properties of Dust and Ice Crystals
批准号:
1338440
负责人:
Ping Yang
金额:
$56.54万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-09-01 至 2017-08-31
中文摘要
传统的模拟大气粒子光学特性的T矩阵方法,由Waterman(1972)开创,并由其他人进一步发展(例如,Mishchenko和Travis,1994年),是基于扩展的边界条件(以下简称EBC-TM),涉及积分的颗粒表面,这是敏感的表面不连续性,如尖锐的边缘和角落。在实践中,EBC-TM主要应用于规则的几何形状,如球体,圆柱体,切比雪夫颗粒在有限的尺寸参数范围。不变嵌入T矩阵(II-TM)方法源于基于体的电磁积分,在概念上不同于EBC-TM。初步研究(Bi,Yang等人,2013)已经证明II-TM可以应用于比EBC-TM宽得多的尺寸参数范围。此外,从实用的角度来看,II-TM是可行的,适用于一般的非球形和不均匀的形态(注意,六方冰晶的情况下,已经证明了可行性)。该奖项的目标是开发一个严格的II-TM包,以准确模拟假定的不规则尘埃颗粒,污染尘埃颗粒,混合硫酸盐的烟灰聚集体,带有气泡或黑碳夹杂物的冰晶,中空冰晶以及表面粗糙的聚集冰晶的光学特性。作为一个有用的工具,光散射社区,II-TM模型将提供一个基准参考,以评估各种数值方法和半经典方法的数值性能。此外,通过使用精确的建模功能,还可以模拟太阳-红外波段的纯尘埃和污染尘埃的光学特性数据库,以及微波波段的冰晶、雪花和霰粒子的光学特性数据库。智力优势:II-TM软件包将代表最先进的光散射计算能力,这将有助于建立一个基准参考,以指导各种数值和近似方法的进一步发展。该项目的成果可能会大大提高目前对两种主要大气颗粒物-尘埃气溶胶和冰晶-的光学特性的认识水平。纯尘埃和污染尘埃以及冰晶、雪花和<$子粒子的散射和偏振特性数据库将立即在大气研究中得到下游应用,特别是在遥感和辐射传输模拟中。II-TM模式将直接有助于减少尘埃和冰晶光学特性的不确定性,这些光学特性对从各种角度研究空气尘埃和冰云至关重要,包括大气遥感和辐射强迫评估,并且可以在其它学科中找到应用,例如,生物光学特别是,将在网上传播的数据库将立即应用于许多研究人员对冰云和尘埃气溶胶的研究。此外,该项目将有一个重要的教育组成部分,重点是指导博士后研究人员,培训研究生,并开发教学工具。
英文摘要
The conventional T-matrix method to simulate the optical properties of atmospheric particles, pioneered by Waterman (1972) and further developed by others (e.g., Mishchenko and Travis, 1994), is based on the extended boundary conditions (hereafter, EBC-TM) involving integration over the particle surface, which is sensitive to surface discontinuities such as sharp edges and corners. In practice, the EBC-TM is primarily applied to regular geometries such as spheroids, circular cylinders, and Chebyshev particles over a limited size parameter range. Conceptually different from the EBC-TM, the invariant imbedding T-matrix (II-TM) method stems from volume-based electromagnetic integration. A preliminary study (Bi, Yang et al., 2013) has demonstrated that the II-TM can be applied to a much wider size parameter range than the EBC-TM. Moreover, from a practical perspective, the II-TM is feasible to be applied to general nonspherical and inhomogeneous morphologies (note, the feasibility has been demonstrated in the case of hexagonal ice crystals). The goal of this award is to develop a rigorous II-TM package to accurately simulate the optical properties of assumed irregular dust particles, polluted dust particles, soot aggregates mixed with sulfate, ice crystals with air bubbles or black carbon inclusions, hollow ice crystals, and aggregate ice crystals with surface roughness. As a useful tool for the light scattering community, the II-TM model will provide a benchmark reference to assess the numerical performance of various numerical approaches and semi-classical approaches. Furthermore, databases of the optical properties of pure and polluted dust in the solar-to-infrared regime and of ice crystals, snow flakes, and graupel particles in the microwave regime will be simulated by using the accurate modeling capabilities.Intellectual Merit :The II-TM package will represent state-of-the-science light scattering computational capabilities, which will facilitate the establishment of a benchmark reference to guide the further development of various numerical and approximate methods. The outcome of this project may substantially enhance the current level of knowledge about the optical properties of two prominent atmospheric particulate matters, dust aerosols and ice crystals. Databases of the scattering and polarization properties of pure and polluted dust and of ice crystals, snowflakes, and graupel particles will find immediate downstream applications in atmosphericresearch, particularly, in remote sensing and radiative transfer simulations.Broader Impacts :The II-TM model will directly contribute to the reduction of the uncertainties in the optical properties of dust and ice crystals that are critical to the study of airborne dust and ice clouds from various perspectives including the atmospheric remote sensing and radiative forcing assessment, and may find applications in other disciplines, e.g., bio-optics. Particularly, the database that will be disseminated on-line will have immediate applications to the studies involving ice clouds and dust aerosols by many researchers. Furthermore, this project will have a significant educational component focused on mentoring a postdoctoral researcher, training a graduate student, and developing teaching tools.
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