北京航空航天大学学报 ›› 2022, Vol. 48 ›› Issue (4): 639-646.doi: 10.13700/j.bh.1001-5965.2020.0625

• 论文 • 上一篇    下一篇

一种基于地转风模型的平流层风场插值方法

胡康1,2, 周江华1,2, 张晓军1   

  1. 1. 中国科学院空天信息创新研究院, 北京 100094;
    2. 中国科学院大学 光电学院, 北京 100049
  • 收稿日期:2020-11-09 发布日期:2022-04-27
  • 通讯作者: 周江华 E-mail:zhoufma@aoe.ac.cn
  • 基金资助:
    国家自然科学基金(61733017);中国科学院战略性先导科技专项(XDA170400)

A stratospheric wind field interpolation method based on geostrophic wind model

HU Kang1,2, ZHOU Jianghua1,2, ZHANG Xiaojun1   

  1. 1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;
    2. School of Optoelectronics, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2020-11-09 Published:2022-04-27

摘要: 平流层风场水平分量的数据精度和密度对高空气球实验的轨迹预测精度和飞行控制精度有着直接的影响。面向平流层风场,提出一种基于地转风模型的插值方法。该方法通过改进科里奥利频率公式,并用二维卷积计算地转风模型,提升了地转风模型的计算效率和低纬度地区风场精度,再用迭代二元线性回归和改进的自适应观测场偏差权重矩阵减小了观测误差对插值结果的影响。实验结果表明:所提插值方法能有效提升平流层风场插值计算速度,并对平流层风场水平分量的插值精度有显著提升。

关键词: 风场插值, 平流层风场, 地转风, 二元线性回归, 二维卷积

Abstract: The data accuracy and density of the stratospheric horizontal wind field have direct influence on the trajectory prediction accuracy and flight control accuracy of the high-altitude balloon experiment. Focusing on stratospheric wind field, this paper puts forward an interpolation method based on geostrophic wind model. The method improves the wind field accuracy in low-latitude area and calculation speed of the geostrophic wind model by improving the formula of Coriolis frequency and using two-dimensional convolution. Meanwhile, the method reduces the influence of observation error on interpolation result by using iterative binary linear regression and an improved adaptive bias weight matrix for the observed field. The experimental results show that the proposed interpolation method can effectively improve the calculation speed of the interpolation of stratospheric wind field and the interpolation accuracy of stratospheric horizontal wind field.

Key words: wind field interpolation, stratospheric wind field, geostrophic wind, binary linear regression, two-dimensional convolution

中图分类号: 


版权所有 © 《北京航空航天大学学报》编辑部
通讯地址:北京市海淀区学院路37号 北京航空航天大学学报编辑部 邮编:100191 E-mail:jbuaa@buaa.edu.cn
本系统由北京玛格泰克科技发展有限公司设计开发