摘要
低空暖脊的出现意味着一种天气不稳定因素的形成,因此,基于温度场的暖脊线的正确识别对于天气预报具有重要意义。本文在分析山脊线算法用于提取暖脊线时暴露出的问题的基础上,提出一种纠偏算法,配合使用为反映暖脊线气象特点所构建的规则,提取到干扰较少的暖脊特征点;根据最小二乘法点拟合线的思想,提出一种光滑中轴算法,得到质量较高的暖脊线。实验表明,本文算法绘制的暖脊线与气象专家手工绘制的暖脊线吻合较高,击中率高达97%,未发现误识。
The appearance of warm ridge in low attitude implies that an unstable weather factor is forming.Therefore,recognizing the warm ridge correctly based on temperature field data is important for weather forecasting.In view of the exposed problems when extracting the warm ridge lines using the ridge line algorithm,this paper proposes a section extreme value correction(SEVC) algorithm,by which candidate warm ridge feature points are extracted,and establishes rules based on weather characteristics to exclude non warm ridge feature points.According to the idea of least squares method used in fitting curve,this paper puts forward a kind of smooth medial axis fitting(SMAF) algorithm to get higher quality of warm ridge lines,which coincide with that weather forecasters manually draw.A large number of experiments show that the recognition rate is as high as 97%and mistaken recognition rate is zero.
出处
《气象》
CSCD
北大核心
2015年第6期771-777,共7页
Meteorological Monthly
基金
公益性行业(气象)科研专项(GYHY201406004)资助
关键词
暖脊
断面极值纠偏法
平滑中轴
特征线识别
warm ridge
section extreme value correction algorithm
smooth medial axis fitting algorithm
feature line recognition
