郭敏,张捍卫,夏朋飞

• 1:河南理工大学测绘与国土信息工程学院
• 2:中国科学院精密测量科学与技术创新研究院大地测量与地球动力学国家重点实验室
• 3:武汉大学GNSS研究中心

摘要(Abstract)：

针对天顶对流层延迟(ZTD)与大气可降水量(PWV)相关性特征及变化规律,该文提出基于无气象元素ZTD短时天气监测及预报的方法。该文以北京市2013—2015年BJFS站日均数据为例,采用GZTD和Saastamoinen+GPT2模型拟合,得到传统的无气象元素的PWV模型。并利用2016年BJFS站ZTD和气象数据,计算出PWV1(含气象元素)和PWV2(无气象元素)数据,通过定量数据分析得出:PWV1与PWV2、ZTD相关系数分别达到0.633 2,0.967 6;PWV2与ZTD相关性为0.649 8。从短期数据,BJFS站6—9月的ZTD与PWV1相关性系数为0.969 6。这证明了ZTD能够真实反映PWV1的真实变化趋势,同时也说明ZTD应用于短时天气预报的可行性。最后针对北京地区2016年的降雨、降雪和雾霾等极端天气事件,采用ZTD方法对其进行了分析研究,并取得了较好的效果。

关键词(KeyWords)： GNSS;大气可降水量(PWV);天顶对流层延迟(ZTD);气象数据;极端天气

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(41905027,41474021,41904025);; 河南省科技攻关项目(182102210315);; 河南省高校基本科研业务费专项资金资助项目(NSFRF180406);; 大地测量与地球动力学国家重点实验室开放基金项目(SKLGED2020-3-7-E)

作者(Author): 郭敏,张捍卫,夏朋飞

DOI: 10.16251/j.cnki.1009-2307.2021.04.005

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