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作 者:吴旭祥 郭秋英 桑文刚 姜英明 WU Xuxiang;GUO Qiuying;SANG Wengang(School of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China)
机构地区:[1]山东建筑大学测绘地理信息学院,山东济南250101 [2]千寻位置网络有限公司,上海200438
出 处:《山东建筑大学学报》2019年第1期54-61,共8页Journal of Shandong Jianzhu University
基 金:山东省自然科学基金面上项目(ZR2017MD029);山东省住房城乡建设科技项目(2017-R1-004)
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(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,均方根值(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。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 numerical weather prediction, and has relatively high practicability in applied meteorology. The paper takes 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 estimated 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.
关 键 词:单基站CORS 超快速星历 大气可降水量 ECMWF再分析资料
分 类 号:P228.4[天文地球—大地测量学与测量工程]
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