The Characteristic Analysis of Precipitable Water Vapor According to GPS Observation Baseline Determination
The Characteristic Analysis of Precipitable Water Vapor According to GPS Observation Baseline Determination
复制标题
GPS观测基线确定的可降水水汽特征分析
DOI：
10.5467/jkess.2013.34.7.626
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发表时间：
2013
影响因子：
0.4
通讯作者：
Ji
中科院分区：
文献类型：
--
作者：
Y. Lim;Sang;Sueng;Ji
在这项研究中，GPS可吸收水汽（PWV）的推导和评价的无线电探空仪测量期间，在江陵网站的冬季密集观测从2012年1月5日至2月29日。Bernise 5.0软件用于推导GPS数据。GPS零差和单差PWV随时间变化较大，约为探空PWV的5倍。另外两个IGS站（Xian Dao，Ibaraki-ken）进行了GPS后处理，以校正对流层绝对误差。结果表明，与无线电探空仪测量结果相比，平均偏差误差（MBE）、均方根误差（RMSE）和相关系数分别为0.67 mm、6.40 mm和0.93。为了校正两个GPS接收器之间的高度差引起的相对对流层误差，我们通过添加安装在江原道气象局附近的江陵原州大学的GPS数据来计算GPS导出的PWV。改进后的结果表明，与探空测量值相比，MBE、RMSE和相关系数分别为0.61 mm、5.79 mm和0.93。
In this study the GPS Precipitable Water Vapor (PWV) was derived and evaluated by a radiosode measure during the winter intensive observation in Gangneung site from January 5 till February 29 in 2012. Bernise 5.0 software was used to derive the GPS data. GPS-derived PWV from Zero difference (GANG) and Single difference (GANG and DAEJ) was high variance in time and about 5 times the PWV of radiosonde. GPS post-processing has been performed from two additional IGS site (Xian Dao, Ibaraki-ken) in order to correct the absolute troposphere errors. As a result, the mean bias error (MBE) and root mean square error (RMSE) and correlation compared with radiosonde measure were 0.67 mm, 6.40 mm, and 0.93, respectively. In order to correct the relative troposphere errors from the altitudinal difference between the two GPS receivers, we calculated the GPS-derived PWV by adding the data of GPS that was installed in Gangneung-Wonju University near the Gangwon Regional Meteorological Administration. In the end, the improved result showed that MBE, RMSE and correlation in comparison with radiosonde measures were 0.61 mm, 5.79 mm, and 0.93, respectively.