摘要
为了进一步提高大气水汽反演的精度和可靠性,提出一种利用星载干涉合成孔径雷达(InSAR)提取对流层天顶湿延迟(ZWD,简称对流层湿延迟)的方法:以2020年1月至2020年3月覆盖济南及周边地区的哨兵1号卫星(Sentinel-1)数据为基础,采用欧洲中期天气预报中心(ECMWF)第五代全球气候的大气再分析资料(ERA5)计算对流层干延迟分量;再利用双线性插值方法统一干延迟分量与Sentinel-1的分辨率;然后通过差分数据处理实现InSAR干涉图相位中对流层湿延迟分量的提取。实验结果表明,Sentinel-1数据可以在较高的空间分辨率内有效提取对流层湿延迟;InSAR技术与北斗卫星导航系统(BDS)技术探测的天顶方向对流层湿延迟变化趋势一致,且对流层湿延迟含量逐渐升高;2种探测手段的对流层湿延迟结果平均偏差为4.45~9.03 mm,最小偏差可达0.3 mm,二者相关系数为0.79。利用InSAR技术结合Sentinel-1等数据可以提取高精度、空间连续对流层湿延迟,可为大范围、空间连续的大气水汽反演提供数据支撑。
In order to further improve the the accuracy and reliability of precipitable water vapor inversion,the paper proposed an extraction method of tropospheric zenith wet delay(ZWD)by using spaceborne interferomtric synthetic aperture radar(InSAR):based on the Sentinel-1 satellite data in the Jinan and surrounding areas from 2020-01 to 2020-03,the fifth major global reanalysis(ERA5)of the European Center for Medium-range Weather Forecasts(ECMWF)was used to calculate the tropospheric dry delay component;and bilinear interpolation methods was used to unify the resolution of the tropospheric dry delay component with Sentinel-1;then the extraction of tropospheric wet delay component in InSAR interferogram phase was realized by differential data processing.Experimental result showed that Sentinel-1 data could effectively extract tropospheric zenith wet delays at higher spatial resolution,the variation trend of the tropospheric wet delay in the zenith direction detected by InSAR technology could be consistent with that by Beidou navigation satellite system(BDS)technology,and the content of tropospheric wet delay would increase gradually;moreover,the average deviation of the two detection methods of tropospheric zenith wet delay would be 4.45~9.03 mm,the minimum deviation 0.3 mm,and the correlation coefficients of them 0.79.In general,InSAR technology combined with Sentinel-1 data could help extract high precision,spatially continuous tropospheric zenith wet delay,and provide data support for large-scale,spatially continuous precipitable water vapor inversion.
作者
郭秋英
黄守凯
李德伟
赵耀
张立国
张海平
李国伟
GUO Qiuying;HUANG Shoukai;LI Dewei;ZHAO Yao;ZHANG Liguo;ZHANG Haiping;LI Guowei(School of Surveying and Geo-informatics,Shandong Jianzhu University,Jinan 250101,China;Shandong Provincial Institute of Land Surveying and Mapping,Jinan 250102,China;Beijing Fangshan Satellite Laser Ranging National Observation and Research Station,Chinese Academy of Surveying and Mapping,Beijing 100036,China)
出处
《导航定位学报》
CSCD
2023年第2期203-210,共8页
Journal of Navigation and Positioning
基金
山东省自然科学基金项目(ZR2021QD155,ZR2020QD049,ZR2017MD029,ZR202103020231)
大地测量与地球动力学国家重点实验室开放基金项目(SKLGD2021-5-5)。
