摘要
通过构造数学模型,模拟3种缺测风场,根据缺测区域周围有数值的点,用最小二乘法确定最佳拟合曲线推测风场缺测区的值。该方法分别对速度大小方向都不变化的均匀风场、速度不断变小的辐散型风场及速度方向不断变化的龙卷风进行数值拟合,得到拟合后的风场矢量图,最后通过雷达体积扫描拟合的风场得到径向速度PPI图。该方法区别于传统的风场反演方式,无须假设风场为线性分布,而是直接对风场有数值的点进行非线性的拟合,适用于小范围风场缺测区的拟合补盲。
In this paper,three kinds of missing wind fields are simulated by constructing a mathematical model.According to the points around the missing measurement area,the best fitting curve is determined by the least square method to infer the value of the missing wind field.In this method,the uniform wind field with constant velocity and direction,the divergent wind field with decreasing velocity and tornado with changing velocity direction are numerically fitted to obtain the wind field vector map after fitting.Finally,the radial velocity PPI map is obtained by radar volume scanning.This method is different from the traditional wind field inversion method.It does not need to assume that the wind field is linear distribution,but directly carries on the nonlinear fitting to the wind field points with numerical value,which is suitable for blind fitting of small-scale wind field with missing measurement area.
作者
胡诗朋
洁拉曲铁
王海江
李静
王国强
徐自励
HU Shipeng;JIELA Qutie;WANG Haijiang;LI Jing;WANG Guoqiang;XU Zili(College of electronic engineering,Chengdu University of information technology,Chengdu 610225,China;The Second Research Institute of CAAC,Chengdu,610041,China)
出处
《成都信息工程大学学报》
2020年第6期594-598,共5页
Journal of Chengdu University of Information Technology
基金
国家自然科学基金资助项目(U1733103)
四川省科技厅资助项目(2019JZ0030)
关键词
最小二乘法
拟合
缺测
least square method
fitting
missing measurement
