时空加权与再分析资料相结合的GNSS PWV时序填补方法  

Combining spatio-temporal weighting with reanalysis data for filling in GNSS PWV time series

作　　者：赵庆志[1] 杜正 姚宜斌[2] 姚顽强[1] ZHAO Qingzhi;DU Zheng;YAO Yibin;YAO Wanqiang(College of Geomatics,Xi’an University of Science and Technology,Xi’an 710054,China;School of Geodesy and Geomatics,Wuhan University,Wuhan 430079,China)

机构地区：[1]西安科技大学测绘科学与技术学院,陕西西安710054 [2]武汉大学测绘学院,湖北武汉430079

出　　处：《测绘学报》2023年第10期1661-1668,共8页Acta Geodaetica et Cartographica Sinica

基　　金：国家自然科学基金(42274039);陕西省创新能力支撑计划(2023KJXX-050);陕西省教育厅服务地方专项科研计划(22JE012);国家大坝安全工程技术研究中心开放基金(CX2022B01)。

摘　　要：PWV是对流层中的重要参数之一,长时序连续的PWV对长期气候变化研究具有重要影响。但受外界因素影响,目前GNSS获取的PWV长时序数据缺失严重或分辨率较差,无法满足长时序分析的应用需求。针对该问题,本文提出了一种顾及时空加权的PWV长时序填补方法(STW)。该方法引入再分析资料,同时顾及GNSS站点上空水汽在空间和时间上的变化特征,并根据测站位置给予PWV时空变化不同的权值,选取中国地壳运动观测网络的实测数据和欧洲中尺度天气预报中心第五代全球大气再分析数据集进行试验。结果表明,本文提出的STW方法在不同时间分辨率的数据缺失和PWV长时序重采样方面均优于经典的线性插值和模型替换方法,可以得到更加可靠、精确和完整的PWV长时序集。Precipitable water vapor(PWV)is one of the most critical parameters in the troposphere,and the long time series of continuous PWV has an essential impact on long-term climate change studies.However,due to the influence of external factors,the current long time series of PWV acquired by GNSS have missing data or poor resolution,which cannot meet the application needs of long time series analysis.This paper proposes a spatio-temporal weighted(STW)method to fill in the PWV long time series to address this problem.This method considers both the spatio-temporal variability of water vapor over GNSS stations and assigns different weights to the spatio-temporal variability of PWV according to the station locations.An experiment tested the STW using the Crustal Movement Observation Network of China(CMONOC)and the ECMWF 5th generation global atmospheric reanalysis dataset ERA5.The results show that the proposed STW method outperforms the traditional linear interpolation and period model methods in terms of missing data and PWV long time series resampling at different time scale resolutions and can obtain more reliable,accurate,and complete PWV long time series.

关 键 词：GNSS 时空加权 PWV 时序填补 

分 类 号：P228[天文地球—大地测量学与测量工程]