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梯度计算的集合变分方案及其在大气Ekman层湍流系数反演中的应用
引用本文:韩月琪,钟中,王云峰,杜华栋. 梯度计算的集合变分方案及其在大气Ekman层湍流系数反演中的应用[J]. 物理学报, 2013, 62(4): 49201-049201. DOI: 10.7498/aps.62.049201
作者姓名:韩月琪  钟中  王云峰  杜华栋
作者单位:1. 中国人民解放军理工大学气象海洋学院, 南京 211101;2. 中国人民解放军理工大学, 电磁环境效应与光电工程重点实验室, 南京 211101
基金项目:国家高技术研究发展计划(批准号:2010AA012304)、江苏省自然科学基金(批准号:BK2010128)、中国博士后科学基金(批准号:20110490185)、国际科技合作项目(批准号:2010DFB33880)和气象海洋学院基础理论研究基金资助的课题.
摘    要:大气Ekman层湍流系数的准确计算对数值天气预报和污染物扩散计算有着重要的意义. 将集合计算和变分法结合起来, 提出了目标泛函梯度计算的集合变分方案, 并根据正演模式的线性化情况提出了两种计算流程. 利用这种集合变分梯度算法及两种流程对Ekman层湍流系数进行了反演试验, 结果表明这种算法实施简单、方便, 根据观测资料能够比较准确地反演湍流系数值.关键词:梯度计算集合变分湍流系数反演

关 键 词:梯度计算  集合变分  湍流系数  反演
收稿时间:2012-09-04

Gradient calculation based ensemble variational method and its application to the inversion of the turbulent coefficient in atmospheric Ekman layer
Han Yue-Qi,Zhong Zhong,Wang Yun-Feng,Du Hua-Dong. Gradient calculation based ensemble variational method and its application to the inversion of the turbulent coefficient in atmospheric Ekman layer[J]. Acta Physica Sinica, 2013, 62(4): 49201-049201. DOI: 10.7498/aps.62.049201
Authors:Han Yue-Qi  Zhong Zhong  Wang Yun-Feng  Du Hua-Dong
Affiliation:1. Institute of Meteorology and Oceanography, PLA University of Science and Technology, Nanjing 211101, China;2. National Key Laboratory on Electromagnetic Environmental Effects and Electro-optical Engineering, PLA University of Science and Technology, Nanjing 211101, China
Abstract:The accurate value of the turbulent coefficient in Ekman layer of atmosphere is quite important for the numerical weather prediction and pollutant diffusion calculation. In the paper, based on ensemble method and variational method, the ensemble variational retrieval method is proposed, and the gradient of objective function is calculated with the method. Two calculation procedures are also given based on the linear condition of forward model. The inversion numerical experiments of the turbulent coefficient using ensemble variational method and two calculation flow process are carried out, and the results show that the method has the simple and convenient characteristics, and the turbulent coefficient can be retrieved accurately by observational data.
Keywords:gradient calculation  ensemble variational method  turbulent coefficient  inversion
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