High-Accuracy Multidimensional Positivity-Preserving Finite-Volume Advection Scheme for Atmospheric Modelling

用于大气模拟的高精度多维保正有限体积平流方案

• 批准号: 9221808
• 负责人: Brian Leonard
• 金额: $ 15.04万
• 依托单位: University of Akron
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1993
• 资助国家: 美国
• 起止时间: 1993-11-01 至 1997-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9221808&HistoricalAwards=false
• 关键词: Accuracy; Multidimensional; Positivity; Preserving; Finite

9221808 Leonard Numerical models of atmospheric processes are valuable tools for producing operational forecasts and to assist researchers in understanding fundamental interactions between various physical processes. An important component of any numerical model is the accurate mathematical representation of atmospheric processes. As computer power has increased and the spatial resolution of atmospheric forecast, climate and research models has improved, so the need for more accurate numerical advection schemes has increased in significance. This is because higher spatial resolution allows representation of sharper gradients and changes in gradients. The Principal Investigator will pursue the development of a highly accurate, computationally efficient scheme for advection-dominated flows typical of atmospheric processes. Specific objectives include extending to three dimensions the Principal Investigator's previous work on a third order, one-dimensional advection scheme. He also will investigate the development of a multidimensional universal limiter. Successful completion of this research should result in improved representations in numerical models of a variety of atmospheric phenomena. ***

9221808 Leonard 大气过程的数值模型是进行业务预测并帮助研究人员了解各种物理过程之间的基本相互作用的宝贵工具。 任何数值模型的一个重要组成部分是大气过程的准确数学表示。 随着计算机能力的提高以及大气预报、气候和研究模型的空间分辨率的提高，因此对更准确的数值平流方案的需求日益增加。 这是因为更高的空间分辨率允许表示更尖锐的梯度和梯度变化。 首席研究员将致力于开发一种高精度、计算效率高的方案，用于典型的大气过程中以平流为主的流动。 具体目标包括将首席研究员之前关于三阶一维平流方案的工作扩展到三维。 他还将研究多维通用限制器的开发。 这项研究的成功完成应该会改善各种大气现象的数值模型的表示。 ***