GNSS对流层延迟推算可降水量的季节转换模型研究

发布时间：2018-06-24 16:17

  本文选题：对流层延迟 + 可降水量　； 参考：《大地测量与地球动力学》2017年08期

【摘要】：利用台湾桃园(TWTF)站气象数据和对流层延迟数据开展可降水量和对流层延迟序列的相关性分析,显示两者存在显著正相关特性。利用回归分析建立季节和全年转换模型,并利用各季节降水和无降水期间的数据对模型进行检验。结果显示,各季节GNSS可降水量与线性回归可降水量的RMS值小于1.5mm,最大误差不超过3.3mm,满足GNSS气象学的基本要求。
[Abstract]:Based on the meteorological data and tropospheric delay data of Taiwan Taoyuan (TWTF) station, the correlation analysis of precipitable water and tropospheric delay series shows that there is a significant positive correlation between them. The seasonal and annual transition models were established by regression analysis, and the models were tested by the data of precipitation and non-precipitation periods. The results show that the RMS values of GNSS precipitable water and linear regression precipitable water are less than 1.5 mm and the maximum error is less than 3.3 mm, which meets the basic requirements of GNSS meteorology.
，

本文编号：2062127