摘要
为了更有效利用GPS水汽资料,本文利用瑞士伯尔尼大学研制的Bernese软件为基础的地基GPS实时水汽反演系统,将四川地区气象局、地震局、测绘局共享的GPS水汽资料,解算得到各站点的实时大气可降水量。由此计算得到各站点大气可降水量的小时变率,然后在GMT绘图命令基础上绘制出大气可降水量小时变率水平分布图,并在四川省气象局的"省市县三级预报业务平台"上应用,能够实时连续监测四川地区大气层中的可降水量的动态变化过程,为提高预报降水精度和灾害性天气的准确性提供了有力的参考。
In order to make more effective using of GPS water vapor data,this paper uses the ground-based GPS real-time water vapor inversion system based on the Bernese software developed by the University of Bern,Switzerland,the GPS water vapor data shared by the Sichuan Meteorological Bureau,the Earthquake Administration and the Bureau of Surveying and Mapping are solved to obtain the real-time atmospheric precipitation of each site.From this,the hourly variability of atmospheric precipitation can be calculated,and then the hourly variability level distribution map of atmospheric precipitation can be drawn on the basis of GMT drawing command,and it is applied in the"three-level forecasting service platform of provinces,cities and counties"of Sichuan Meteorological Bureau.The dynamic change process of precipitation in the atmosphere in Sichuan can be continuously monitored in real time,which provides a powerful reference for improving the accuracy of forecasting precipitation and the accuracy of severe weather.
作者
刘俊宏
向筱铭
胡晓润
LIU Junhong;XIANG Xiaoming;HU Xiaorun(Sichuan Meteorological Observation and Data Center,Chengdu 610072,China;Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Provice,Chengdu 610072,China)
出处
《测绘地理信息》
CSCD
2021年第S01期269-271,共3页
Journal of Geomatics
基金
高原与盆地暴雨旱涝灾害四川省重点实验室科技发展基金(SCQXKJQN2017017)
