| 利用LAP-3000型风廓线雷达资料对深圳地区湍流耗散率特征的研究 |
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| 引用本文： | 王晓芳,王成刚,卜令兵,蒋德海.利用LAP-3000型风廓线雷达资料对深圳地区湍流耗散率特征的研究[J].气象科学,2012,32(S1):1-6. |
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| 作者姓名： | 王晓芳 王成刚 卜令兵 蒋德海 |
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| 作者单位： | 南京信息工程人学 气象灾害省部共津教育部重点实验室, 南京 210044;南京信息工程人学 气象灾害省部共津教育部重点实验室, 南京 210044;南京信息工程人学 气象灾害省部共津教育部重点实验室, 南京 210044;中国气象局广州热带海洋气象研穷所, 广州 510080 |
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| 基金项目： | 国家自然科学基金资助项日(NSFC40905004, NSFC41175013);江苏省气象利学研究所北极阁基金资助项日(BJG201104);江苏高校优势学科建设工程援助项目(PAPD) |
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| 摘 要： | 利用2010年1-2月深圳LAP3000型风廓线雷达资料, 对湍流耗散率进行了估算, 针对典型晴天条件下的湍流耗散率ε、折射率结构常数C2n、水平风速和风切变, 分析了其时空变化特征。得出如下结论: (1) 深圳地区低空大气ε的量级在10-7~10-1 m-2·s-3之间, 与理论模拟值基本一致; (2) 时间分布特征为, 2 km以下ε有很明显的日变化特征, 夜晚和上午ε较大, 下午及傍晚减少;(3) 空间分布特征表现为, ε随高度大致呈递减分布;ε量级达10-2.5 m2·s-3所在高度可作为深圳地区2010年1月14-15日边界层顶高度的判断依据。
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| 关 键 词： | 风廓线雷达 谱宽 湍流耗散率 边界层顶高度 |
By using the dataset (January and February of 2010) of LAP3000 wind profiler in Shenzhen, the turbulent dissipation rate |
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| WANG Xiaofang,WANG Chenggang,BU Lingbing and JHANG Dehai.By using the dataset (January and February of 2010) of LAP3000 wind profiler in Shenzhen, the turbulent dissipation rate[J].Scientia Meteorologica Sinica,2012,32(S1):1-6. |
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| Authors: | WANG Xiaofang WANG Chenggang BU Lingbing and JHANG Dehai |
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| Institution: | Key Lahoratory of Meteorolo gical Disaster of Ministry of Education, Nanjing University of information Science & Technology, Nanjing 210044, China;Key Lahoratory of Meteorolo gical Disaster of Ministry of Education, Nanjing University of information Science & Technology, Nanjing 210044, China;Key Lahoratory of Meteorolo gical Disaster of Ministry of Education, Nanjing University of information Science & Technology, Nanjing 210044, China;Institute of Tropical and Marine Meteorology, China Meteorological Administration, Guangzhou 510080, China |
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| Abstract: | By using the dataset(January and February of 2010) of LAP3000 wind profiler in Shenzhen, the turbulent dissipation rate(ε) has been estimated. This paper studied the temporal and spatial variation features of ε, C2n, horizontal wind and its vertical shear in the clear air condition and found the following results. Firstly, the order of ε is between 10-7 and 10-1 m-2·s-3 which accords with the theory and model, so the retrieval method is reliable. Secondly, ε has temporally obvious diurnal variation features below 2 km. It increases in the night and morning, but decreases in the afternoon and evening. Thirdly, ε roughly reduces with height. And its temporal and spatial variation features can be used to identify the boundary layer top. In this study, this kind of top on 14-15 January is one that ε reaches order of 10-2.5 m2·s-3. |
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| Keywords: | Wind profiler Spectral Turbulent dissipation rate The top of boundary layer |
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