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利用中国区域MERRA-2资料计算ZTD和ZWD的精度分析
引用本文:黄良珂,郭立杰,刘立龙,黄远林,谢劭峰,康传利.利用中国区域MERRA-2资料计算ZTD和ZWD的精度分析[J].武汉大学学报(信息科学版),2023,48(3):416-424.
作者姓名:黄良珂  郭立杰  刘立龙  黄远林  谢劭峰  康传利
作者单位:1.桂林理工大学测绘地理信息学院, 广西 桂林, 541006
基金项目:国家自然科学基金41704027国家自然科学基金41664002国家自然科学基金41864002广西自然科学基金2017GXNSFBA198139广西自然科学基金2017GXNSFDA198016广西自然科学基金2018GXNSFAA281182
摘    要:对流层延迟是影响高精度定位与导航的主要误差之一,也是全球导航卫星系统(global navigation satellite system,GNSS)水汽探测的关键参数。美国航空航天局发布了最新一代的大气再分析资料(MERRA-2资料),其可用于计算高时空分辨率的对流层延迟产品,但是目前尚无文献对利用MERRA-2资料计算天顶对流层延迟(zenith tropospheric delay,ZTD)和天顶湿延迟(zenith wet delay,ZWD)的精度进行分析。因此,联合2015年中国陆态网214个GNSS站ZTD产品和分布于中国区域的87个探空站资料,对利用MERRA-2资料在中国区域计算ZTD/ZWD的精度进行评估。结果表明:(1)以陆态网ZTD为参考值,利用MERRA-2资料积分计算ZTD的年均偏差和均方根误差(root mean square error,RMSE)分别为0.32 cm和1.21 cm,且偏差和RMSE均表现出一定的季节变化,总体上呈现为夏季精度低、冬季精度高;在空间分布上,偏差随纬度和高程的变化趋势并不明显,但RMSE随纬度和高程的增加总体上呈现递减的趋...

关 键 词:ZTD  ZWD  MERRA-2  中国区域
收稿时间:2020-07-25

Accuracy Analysis of ZTD and ZWD Calculated from MERRA-2 Reanalysis Data over China
Institution:1.College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541006, China2.Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541006, China3.College of Resource and Environmental, Beibu Gulf University, Qinzhou 535011, China
Abstract:  Objectives  Tropospheric delay is one of the main errors in high-precision positioning and navigation, and it is a key parameter in the process of retrieving precipitable water vapor from global navigation satellite system (GNSS) signals. The latest generation of atmospheric reanalysis data of National Aeronautics and Space Administration, MERRA-2, can be used to calculate high-resolution tropospheric delay products. However, there is no literature on the accuracy of the zenith tropospheric delay(ZTD) and zenith wet delay(ZWD) calculated from MERRA-2 data. Therefore, the purpose is to evaluate ZTD and ZWD calculated from MERRA-2 reanalysis data over China.  Methods  Based on the data of ZTD products from 214 GNSS stations of the crustal movement observation network of China (CMONOC) and 87 radiosonde stations data in 2015, the accuracy and performance of ZTD/ZWD derived from MERRA-2 data in China is evaluated.  Results  The results show that the ZTD calculated from MERRA-2 data with the annual bias and root mean square error(RMSE)of 0.32 cm and 1.21 cm when compared with CMOMOC-derived ZTD, respectively; the bias and RMSE have obvious seasonality, which generally show relative lower accuracy in summer and higher accuracy in winter.In terms of spatial distribution, the variation trend of bias with latitude and elevation is not obvious, but the RMSE generally shows a decreasing trend with the increase of latitude and elevation. The ZWD and ZTD calculated from MERRA-2 data has the annual bias of 0.37 cm and 0.53 cm compared with radiosonde profiles, respectively; while those of RMSE are 1.44 cm and 1.61 cm, respectively. The bias and RMSE of ZWD and ZTD calculated from MERRA-2 data also have the temporal and spatial variation characteristics, which has similar feature with the tested result of CMONOC GNSS ZTD products.  Conclusions  Therefore, the ZTD and ZWD calculated from MERRA-2 reanalysis data over China have significant accuracy and stability, which can be used as a data source to establish high-precision and resolution tropospheric correction model and high-precision GNSS water vapor detection in China.
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