摘要
本文根据国家气象中心分类强对流预报业务需求,基于当前比较成熟的多边形裁剪算法(Weiler-Ather-ton算法)的思路,开发了一种改进的多边形合并算法(PM算法)。该算法的优点是无需考虑输入序列的方向性、设计思路简单,运行高效,更符合天气预报业务的需求。此外,该算法也可用于多边形裁剪。2013年4—9月的业务试运行表明该算法准确、运算速度快且性能稳定。该算法在灾害性天气预报,环境气象预报、专业气象预报等天气预报业务领域具有较好的应用前景。
An improved polygons merging algorithm (hereafter “PM”algorithm)was developed for the op-erational test-bed of classified severe weather probability forecasting,based on Weiler-Atherton algorithm. In this algorithm,the input points can be non-directional.It is a simple and efficient polygons merging al-gorithm that meets the basic requirements of the meteorological operation and can also be used for poly-gons clipping.During the period from April to September 2013,it was tested on the test-bed platform and proved to be exact,efficient and stable.In addition,it can be used in some other relevant fields of weather forecast operation, such as disaster weather forecasting, environmental weather forecasting, special weather forecasting and soon.
出处
《气象》
CSCD
北大核心
2014年第7期875-880,共6页
Meteorological Monthly
基金
公益性行业(气象)科研专项(GYHY201406002)资助
关键词
分类强对流概率预报
多边形合并
天气预报业务
classified severe weather probability forecasting
polygons merging
weather forecast operation
