一种基于地转风模型的平流层风场插值方法

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。 

A stratospheric wind field interpolation method based on geostrophic wind model

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.