[1]吴旭详,郭秋英,*,等.基于IGU星历的单基站CORS大气可降水量估计[J].山东建筑大学学报,2019,(1):8-13.
 Wu Xuxiang,Guo Qiuying *,Sang Wengang,et al.Estimation of atmospheric precipitable water vapor of single CORS station based on IGS Ultra-rapid ephemeris products[J].Journal of Shandong jianzhu university,2019,(1):8-13.
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基于IGU星历的单基站CORS大气可降水量估计()
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《山东建筑大学学报》[ISSN:1673-7644/CN:37-1449/TU]

卷:
期数:
2019年1期
页码:
8-13
栏目:
研究论文
出版日期:
2019-02-15

文章信息/Info

Title:
Estimation of atmospheric precipitable water vapor of single CORS station based on IGS Ultra-rapid ephemeris products
作者:
吴旭详1郭秋英1*桑文刚1姜英明2
(1.山东建筑大学 测绘地理信息学院 山东 济南 250101 ;2. 山东省国土测绘院 山东 济南 250102 )
Author(s):
Wu Xuxiang Guo Qiuying * Sang Wengang et al
(School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China)
关键词:
单基站CORS超快速星历大气可降水量ECMWF再分析资料
Keywords:
single CORS station IGS Ultra-rapid products precipitable water vapor ECMWF reanalysis datasets
分类号:
P228.4
文献标志码:
A
摘要:
利用地基GPS资料反演大气可降水量,能为改善中小尺度数值天气预报提供较为理想的观测数据,在气象领域具有较高的实用性。文章以单基站CORS为实验对象,基于全球导航卫星系统服务中心向用户提供的超快速星历(IGS Ultra-rapid products,IGU),应用GAMIT/GLOBK软件解算GPS观测数据,在验证解算精度达到要求后估计大气可降水量(PWV),分别将其与欧洲中期数值预报中心(ECMWF)的ERA-Interim再分析资料和最终精密星历(IGS Final products,IGF)解算的PWV进行比较分析。结果表明:使用超快速星历IGU估计PWV与ECMWF再分析资料的PWV线性拟合相关系数为0.96,RMS为2.89 mm;使用超快速星历IGU估计PWV与事后精密星历IGF估计PWV的线性拟合相关系数为0.99,RMS为0.18 mm,利用单基站CORS使用IGU超快速星历估计PWV可以达到近实时数值气象预报的实际应用要求。
Abstract:
The precipitable water vapor (PWV) can be back calculated by the ground-based GPS data. The results will provide ideal data for meso-micro scale n umerical weather prediction, and has relatively high practicability in applied meteorology. The paper t akes the single base station continuously operating reference stations as the research object . The software GAMIT/GLOBK is used to analyze and calculate GPS data based on IGU (IGS Ultra-rapid products) which is provided by International GNSS Service (IGS) center. The calculation precision is verified to be conforming to the requirements. Then, the atmospheric precipitable water vapor can be estimated . The calculated result is separately compared with the ERA-Interim reanalysis data of European Centre For Medium Range Weather Forecasts (ECMWF) and the PWV calculated by the IGS Final products (IGF). The result shows that: the linear fitting correlation coefficient of the PWV e stimated by using ultra-rapid products and ECMWF reanalysis data is 0.96, and the RMS is 2.89 mm. The linear fitting correlation coefficient of the PWV estimated by using Ultra-rapid products and IGS Final products is 0.99, and the RMS is 0.18 mm. Employing single base station continuously operating reference stations to use Ultra-rapid products to estimate PWV can satisfy the actual application needs of near real-time data for weather forecast
更新日期/Last Update: 2018-12-06