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多尺度城市边界层数值模式系统
引用本文:蒋维楣,王咏薇,刘罡,刘红年,周荣卫,欧阳琰,王学远.多尺度城市边界层数值模式系统[J].南京大学学报(自然科学版),2007,43(3):221-237.
作者姓名:蒋维楣  王咏薇  刘罡  刘红年  周荣卫  欧阳琰  王学远
作者单位:南京大学大气科学系,南京210093
摘    要:人为活动影响天气气候变化是当前大气科学研究的热点问题.随着城市发展,人为活动的加剧,城市非均匀下垫面大气边界层的数值研究面临更多的挑战.研究工作着眼于引入更完善的城市大气边界层物理过程,进一步发展完善南京大学的多尺度数值模式系统,以提高模式系统的模拟性能.主要研究内容包括:1)城市尺度模式中人为热及建筑物拖曳参数参数化方案的完善;2)基于参数化方案完善以及精细地理信息、地表特征参数支持下提高了城市尺度数值模式的分辨率;3)完成不同尺度边界层模式单向向下嵌套及各边界层模式与空气质量模式的单向嵌套;等等,从而建立物理机制更合理,计算过程更完善的多尺度城市边界层数值模拟系统,为天气气候研究,城市环境保护,城市发展规划以及国家安全防御等工作服务.

关 键 词:大气边界层  城市效应参数化  空气质量模拟  高分辨嵌套数值模式系统
修稿时间:2006-12-29

Mutil-Scale Urban Boundary Layer Modelling System
Jiang Wei-Mei,Wang Yong-Wei,Liu Gang,Liu Hong-Nian,Zhou Rong-Wei,Ou Yang-Yan,Wang Xue-Yuan.Mutil-Scale Urban Boundary Layer Modelling System[J].Journal of Nanjing University: Nat Sci Ed,2007,43(3):221-237.
Authors:Jiang Wei-Mei  Wang Yong-Wei  Liu Gang  Liu Hong-Nian  Zhou Rong-Wei  Ou Yang-Yan  Wang Xue-Yuan
Institution:Department of Atmospheric Sciences,Nanjing University,Nanjing,210093,China
Abstract:Weather and climate changes induced by anthropogenic activities are a hot topic in atmospheric sciences at present.Along with accelerated urbanization and intensified anthropogenic activities,the numerical researches on the atmospheric boundary layer over inhomogeneous urban underlying surface are confronted with many challenges.Aimed to study the physical process in the urban atmospheric boundary layer and to serve the need of urban weather/climate research,urban environmental protection,urban development and planning,and national security defense etc.,this paper is designed to futher develop the mutil-scale numerical modeling system of Nanjing University,and to build a modeling system with more reasonable physical mechanism and framework structure.The research work in the present paper mainly includes: 1) developing the urban effect parameterizations of anthropogenic heat and building drag effect in urban scale models;2) improving the resolution of urban scale models,based on the development of parameterization scheme and the fine geographical information and surface parameter data;3) completing the one-way downward nesting in the boundary layer model and the coupling between the boundary layer model and the air quality model.
Keywords:atmospheric boundary layer  urban effect parameterization  air quality simulation  high resolution nested modeling system
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