摘要
天气雷达资料插值处理是对天气雷达获取的资料做综合分析以及进一步的处理必要前提,也是天气雷达组网拼图和三维显示的重要基础。本文主要研究了四种天气雷达资料的插值方法,并对其插值效果进行了比较分析,结果发现,自适应Barnes插值法是一种较为有效的插值方法,能够较好地保留原始资料中回波反射率的结构特征,并且能够得到比较连续的回波反射率三维分析数据场。
Due to the spherical coordinates of weather radar data sampling system, the data resolution is extremely non-uniform in space. This non-uniformity, together with largely variable spatial scales of weather systems, poses a significant challenge to objective analysis of radar data. Several objective analysis schemes are under testing for mapping radar data fields onto a threedimensional regular Cartesian grid. In this paper four interpolation schemes were tested for remapping radar data from spherical onto Cartesian coordinates. The first scheme is a nearest neighbor scheme on range-azimuth planes combined with a linear interpolation in elevational direction. For small elevation angles （〈20°） , the vertical direction is close to the elevational direction. Thus this scheme will be referred as vertical interpolation （VI） scheme. The second scheme uses the VI plus a horizontal interpolation to fill in the gaps between higher tilts （VHI）. The third scheme, a tri-linear interpolation that is a bilinear interpolation on range-azimuth planes combined with a linear interpolation in elevational direction. The fourth scheme is an adaptive Barnes. Through comparison of horizontal and vertical reflectivity cross section by use of the four interpolation schemes, it was found that the adaptive Barnes is the most reasonable analysis scheme that provides consecutive reflectivity fields and retains high-resolution structure comparable to the raw data.
出处
《遥感信息》
CSCD
2008年第2期39-45,共7页
Remote Sensing Information
关键词
天气雷达
反射率因子
插值
weather radar
reflectivity
interpolation
