{"title":"Elimination of tropospheric path delays in GPS observations with the ECMWF numerical weather model","authors":"T. Pany , P. Pesec , G. Stangl","doi":"10.1016/S1464-1895(01)00089-8","DOIUrl":null,"url":null,"abstract":"<div><p>Recent comparisons have shown that zenith total delays (ZTD's) derived from Global Positioning System (GPS) observations and ZTD's calculated from analysis fields of numerical weather prediction (NWP) models agree within 1–2 cm (rms). Thus NWP models describe the tropospheric delay quite well, even though no GPS data are assimilated into the model. In this work we investigate how a NWP model can be used to calculate and eliminate the influence of the troposphere on GPS measurements. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) global weather model we calculate the GPS path delays for each single GPS observation using a high precision 3D ray tracing procedure and subtract it from the GPS observations.</p><p>We discuss two methods to process the corrected GPS observations. We find a reduction of the rms value of the phase residuals at low elevations, if the dry delay is eliminated and the wet delay is modeled in the adjustment. If the total delay is eliminated, tropospheric modeling of the remaining delay, whose correlation matrix will be determined, is still necessary. The analysis of the eigenvectors of the correlation matrix gives a set of mapping functions and weights which can be used to process the corrected GPS observations.</p></div>","PeriodicalId":101024,"journal":{"name":"Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy","volume":"26 6","pages":"Pages 487-492"},"PeriodicalIF":0.0000,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1464-1895(01)00089-8","citationCount":"29","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Physics and Chemistry of the Earth, Part A: Solid Earth and Geodesy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1464189501000898","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 29
Abstract
Recent comparisons have shown that zenith total delays (ZTD's) derived from Global Positioning System (GPS) observations and ZTD's calculated from analysis fields of numerical weather prediction (NWP) models agree within 1–2 cm (rms). Thus NWP models describe the tropospheric delay quite well, even though no GPS data are assimilated into the model. In this work we investigate how a NWP model can be used to calculate and eliminate the influence of the troposphere on GPS measurements. Using the European Centre for Medium-Range Weather Forecasts (ECMWF) global weather model we calculate the GPS path delays for each single GPS observation using a high precision 3D ray tracing procedure and subtract it from the GPS observations.
We discuss two methods to process the corrected GPS observations. We find a reduction of the rms value of the phase residuals at low elevations, if the dry delay is eliminated and the wet delay is modeled in the adjustment. If the total delay is eliminated, tropospheric modeling of the remaining delay, whose correlation matrix will be determined, is still necessary. The analysis of the eigenvectors of the correlation matrix gives a set of mapping functions and weights which can be used to process the corrected GPS observations.
最近的比较表明,全球定位系统(GPS)观测得到的天顶总延迟(ZTD’s)与数值天气预报(NWP)模式分析场计算得到的天顶总延迟(ZTD’s)在1-2 cm (rms)范围内一致。因此,即使没有将GPS数据吸收到模式中,NWP模式也能很好地描述对流层延迟。在这项工作中,我们研究了如何使用NWP模式来计算和消除对流层对GPS测量的影响。使用欧洲中期天气预报中心(ECMWF)全球天气模型,我们使用高精度3D射线追踪程序计算每个GPS观测的GPS路径延迟,并从GPS观测中减去它。讨论了两种处理GPS校正观测值的方法。我们发现,如果在调整中消除干延迟并模拟湿延迟,则在低海拔处相位残差的均方根值会降低。如果消除总延迟,仍然需要对剩余延迟进行对流层模拟,其相关矩阵将被确定。对相关矩阵的特征向量进行分析,得到一组映射函数和权值,可用于处理校正后的GPS观测值。