利用CORS站研究多因子分季节可降水量转换模型Research on multi-factor seasonal precipitable water vapor model based on CORS station
刘彦,李黎,韦晔,范頔,周嘉陵,李媛,张振
摘要(Abstract):
针对GNSS气象学中可降水量转换过程较为复杂的问题,利用2017年江苏CORS站及其并址探空数据,分析大气可降水量(PWV)与天顶对流层延迟(ZTD)、温度和气压之间的相关性,采用线性回归拟合法建立多因子分季节PWV模型,并用2017—2018年数据验证模型精度。结果表明PWV与ZTD有很强的线性相关性,相关系数为0.980 3,PWV与温度和气压有较强的相关性,相关系数分别为0.611 2和-0.613 6;全年PWV模型中,单、双、多因子模型的RMS分别为2.88、1.70和0.49 mm,精度依次提高;多因子PWV模型中,分季节PWV模型较全年PWV模型的RMS分别提高0.23、0.20、0.18和0.37 mm,精度明显优于全年模型。因此,多因子分季节PWV模型预测精度优于1 mm,满足GNSS监测水汽的气象应用精度要求。
关键词(KeyWords): 对流层延迟;可降水量;CORS基准站;线性拟合
基金项目(Foundation): 江苏省高等学校大学生创新训练省级重点项目(202010332001Z,201810332018Z);; 湖南省自然科学基金青年项目(2016JJ3061);; 江苏省自然科学基金项目(BK20161603);; 苏州科技大学课程教学综合改革项目(2018KJZG-08)
作者(Author): 刘彦,李黎,韦晔,范頔,周嘉陵,李媛,张振
DOI: 10.16251/j.cnki.1009-2307.2021.07.005
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