CAJ | 학술논문

提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-Atherton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。
제본문근거국가기상중심분류강대류예보업무수구，기우당전비교성숙적다변형재전산법（Weiler-Atherton산법）적사로，개발료일충개진적다변형합병산법（PM산법）。해산법적우점시무수고필수입서렬적방향성、설계사로간단，운행고효，경부합천기예보업무적수구。차외，해산법야가용우다변형재전。2013년4-9월적업무시운행표명해산법준학、운산속도쾌차성능은정。해산법재재해성천기예보，배경기상예보、전업기상예보등천기예보업무영역구유교호적응용전경。
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.