摘要
依据水平风场分解思路,运用调和-余弦算法,准确分解有限区域Q矢量.根据已有的关于Q矢量散度和新发展的Q矢量涡度与天气系统对应关系的研究,运用分解得到的Q矢量旋转分量场和辐散分量场,改进传统Q矢量分析方法中单纯依靠Q矢量水平散度场进行的诊断分析.通过对一次暴雨个例的比较研究表明,在雨带形势和暴雨中心位置的动力识别方面,改进的Q矢量分析方法比传统的单纯依靠Q矢量散度分析方法具有更好的效果.
According to the theory of separation and reconstruction of wind field, the Q vector is separated accordingly in limited area using the approach of harmonic-cosine series expansion. The rotational and divergent components of Q vector are introduced into diagnosing weather systems as an improvement in the traditional Q vector analyses. Through a case study of a torrential rain event, potential advantages of the improved Q analyses approach can be seen in dynamic identification of both the location and the position of heavy rain centers.
出处
《物理学报》
SCIE
EI
CAS
CSCD
北大核心
2008年第4期2600-2606,共7页
Acta Physica Sinica
基金
国家重点基础研究发展规划(批准号:2004CB418301)
国家自然科学基金(批准号:40433007)
中国科学院海外杰出学者基金(批准号:2005-01-19)资助的课题~~
关键词
Q矢量分析
调和-余弦算法
暴雨
动力识别
Q vector analyses, harmonic-cosine series expansion, torrential rain event, dynamic identification
