摘要
文章基于FY-2G静止气象卫星数据和Mecikalski等人提出的八分法,利用多小波融合、积云掩膜、金字塔图像和面积重叠法得到了对流初生预警算法。根据FY-2G静止气象卫星和GOES静止气象卫星在分辨率以及八分法研究区域上的差别,通过一系列实验对对流初生预警指标和其阈值进行调整和修改。并对北京地区的两次强对流天气过程进行对流初生预警研究,所得预警结果与多普勒天气雷达进行对比验证分析。其结果表明:对流初生预警算法能够提前30~40min预警出北京地区的对流初生过程,说明了算法的可行性和有效性,为短时灾害性天气的预警提供理论支持。
Based on the eight-point method by Mecikalski and so on and the FY-2G geostationary satellite data,the convective initiation forecasting methods are being obtained by using multi-wavelet fusion,CCM technology,pyramidal matcher and area-overlapped method.The indicators from convective initiation forecasting and its thresholds have been modified by a series of experiments because of the differences of resolution and study areas between the FY-2G and GOES geostationary meteorological satellite.Then,two convective weather events in Beijing regions are studied in the convective initiation forecasting.The comparative analysis is taking out between forecasting results and Doppler weather radar,which shows that the convective initiation forecasting method would forecast convective initiation process30-40min ahead in Beijing regions,indicating the effectiveness and feasibility of the algorithm and providing theoretical support for short-term catastrophic weather warnings.
作者
卜茂宾
白洁
周著华
方涵先
Bu Maobin;Bai Jie;Zhou Zhuhua;Fang Hanxian(National University of Defense Technology,Changsha 410000;Aeronautical Meteorology Chemical Defense Study of Air Force Equipment Research Institute,Beijing 100085)
出处
《气象水文海洋仪器》
2018年第1期8-13,共6页
Meteorological,Hydrological and Marine Instruments
关键词
强对流天气
对流初生预警
FY-2G卫星资料
strong convective weather
convective initiation forecasting
FY-2G satellite data
作者简介
卜茂宾(1993-),男,硕士研究生.主要从事卫星气象研究.
