一种大气急流计算方法

An anomaly detection method based on feature regular constraints

摘要:

大气风场急流是影响天气的重要因素之一，风场急流的识别能为天气系统自动识别以及智能天气预报计算提供重要的数据基础.在实际气象业务中以手工绘制急流线，现有算法在地理位置、风向等方面不同程度存在不具通用性问题.根据急流轴位于大风区的几何中心的性质，提出了一种急流提取算法.首先，利用风向相干性获得风场急流区域；然后，通过骨架提取方法获得急流区域的骨架点，并利用重心公式进行微调；最后，连接骨架点得到急流结果.该文对MICAPS第11类数据进行实验，一方面与预报员手动绘制的结果进行对比，另一方面与现有的方法进行对比分析，结果表明，本方法能有效地获取急流区域和急流轴.

Abstract:

Atmospheric jet is one of the important factors affecting weather patterns, and the jet identification can provide important data for automatic identification of weather system and intelligent weather forecast calculation. According to the property that jet axis locates at the geometric center of strong wind area，a new jet axis identification method is presented. First of all, the coherence feature of wind direction is used to obtain the jet areas, and skeleton extraction method is employed to get area geometric skeleton. The jet axis is obtained by connecting the tuned skeleton points which is computed by gravity formula. The experiment basing on MICAPS 11th format data and comparing with manual way and other methods shows that the present method can get the jet axis effectively.