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基于高垂直分辨率探空数据对五种典型下垫面湍流分布特征分析
龚玺, 陈起英, 倪长健, 龙海川
(成都信息工程大学)
Analysis of Turbulence Distribution Characteristics of Five Typical Underlying Surfaces based on High Vertical Resolution Radiosonde data
gongxi, chenqiying, nichangjian, longhaichuan
(Chengdu University of Information Technology)
摘要
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投稿时间:2022-03-01    修订日期:2022-09-16
中文摘要: 由于湍流的时空尺度小、变化率大,缺乏大规模的现场观测,导致对中国全国范围内的大气湍流特征研究甚少。自2011年起,我国开始存储秒级高垂直分辨率探空数据,为深入研究中国各地的湍流特征提供了可能。在用探空资料诊断分析湍流特点时,需要考虑仪器噪音对分析结果产生的影响,本文首先分析了中国地区仪器噪音对分析结果的影响,证实噪音会使对流层平均的湍流耗散率偏小,证明了去除噪音的必要性。在此基础上,本文采用Thorpe分析法详细分析了湍流的强度(湍流耗散率)与下垫面类型的关系。结果在对流层,全年平均草地的湍流最强,然后依次是旱地作物、水田作物、灌木、荒地。在平流层下层依然受到下垫面的影响,全年平均草地的湍流依旧最强,旱地作物次之。湍流在不同下垫面均表现出明显的季节性,且夏季对流层上层的强度和频率最高。本文的结果将有助于理解湍流特征,为航空器飞行安全和湍流参数化方案改进提供参考信息。
Abstract:Due to the small spatiotemporal scale and large change rate of turbulence, and the lack of large-scale field observation, there is little research on the characteristics of atmospheric turbulence in China. Since 2011, China has begun to store second level high-resolution soundings data, which makes it possible to deeply study the characteristics of turbulence in various parts of China. When using radiosonde data to diagnose and analyze the characteristics of turbulence, it is necessary to consider the impact of instrument noise on the analysis results. Firstly, this paper analyzes the impact of instrument noise on the analysis results in China, proves that noise will reduce the average turbulent dissipation rate in the troposphere, and proves the necessity of removing noise. On this basis, Thorpe analysis method is used to analyze the relationship between the intensity of turbulence (turbulence dissipation rate) and the type of underlying surface in detail. Results in the troposphere, the annual average grassland turbulence was the strongest, followed by dryland crops, paddy crops, shrubs and wasteland. In the lower stratosphere, it is still affected by the underlying surface, and the annual average turbulence of grassland is still the strongest, followed by dry land crops. The turbulence shows obvious seasonality on different underlying surfaces, and the intensity and frequency of the upper troposphere are the highest in summer. The results of this paper will help to understand the characteristics of turbulence and provide reference information for aircraft flight safety and the improvement of turbulence parameterization scheme.
文章编号:202203010060     中图分类号:    文献标志码:
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
作者单位地址
龚玺 成都信息工程大学 北京市海淀区中关村南大街46号中国气象局
陈起英 成都信息工程大学 北京市海淀区中关村南大街46号中国气象局
倪长健 成都信息工程大学 
龙海川 成都信息工程大学 
Author NameAffiliationAddress
gongxi Chengdu University of Information Technology 北京市海淀区中关村南大街46号中国气象局
chenqiying  北京市海淀区中关村南大街46号中国气象局
nichangjian  
longhaichuan  
引用文本:
gongxi,chenqiying,nichangjian,longhaichuan,.Analysis of Turbulence Distribution Characteristics of Five Typical Underlying Surfaces based on High Vertical Resolution Radiosonde data[J].Meteor Mon,():-.
gongxi,chenqiying,nichangjian,longhaichuan,.Analysis of Turbulence Distribution Characteristics of Five Typical Underlying Surfaces based on High Vertical Resolution Radiosonde data[J].Meteor Mon,():-.