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Quantifying residual ionospheric errors in GNSS radio occultation bending angles based on ensembles of profiles from end-to-end simulations

文献类型：期刊论文

作者Liu, C. L.1,2,5; Kirchengast, G.1,2,3,4; Zhang, K.2,5; Norman, R.2; Li, Y.6; Zhang, S. C.7; Fritzer, J.3,4; Schwaerz, M.3,4; Wu, S. Q.2; Tan, Z. X.5
刊名ATMOSPHERIC MEASUREMENT TECHNIQUES
出版日期2015
卷号8期号:7页码:2999-3019
ISSN号1867-1381
DOI10.5194/amt-8-2999-2015
文献子类Article
英文摘要The radio occultation (RO) technique using signals from the Global Navigation Satellite System (GNSS), in particular from the Global Positioning System (GPS) so far, is currently widely used to observe the atmosphere for applications such as numerical weather prediction and global climate monitoring. The ionosphere is a major error source in RO measurements at stratospheric altitudes, and a linear ionospheric correction of dual-frequency RO bending angles is commonly used to remove the first-order ionospheric effect. However, the residual ionospheric error (RIE) can still be significant so that it needs to be further mitigated for high-accuracy applications, especially above about 30 km altitude where the RIE is most relevant compared to the magnitude of the neutral atmospheric bending angle. Quantification and careful analyses for better understanding of the RIE is therefore important for enabling benchmark-quality stratospheric RO retrievals. Here we present such an analysis of bending angle RIEs covering the stratosphere and mesosphere, using quasi-realistic end-to-end simulations for a full-day ensemble of RO events. Based on the ensemble simulations we assessed the variation of bending angle RIEs, both biases and standard deviations, with solar activity, latitudinal region and with or without the assumption of ionospheric spherical symmetry and co-existing observing system errors. We find that the bending angle RIE biases in the upper stratosphere and mesosphere, and in all latitudinal zones from low to high latitudes, have a clear negative tendency and a magnitude increasing with solar activity, which is in line with recent empirical studies based on real RO data although we find smaller bias magnitudes, deserving further study in the future. The maximum RIE biases are found at low latitudes during daytime, where they amount to within -0.03 to -0.05 mu rad, the smallest at high latitudes (0 to -0.01 mu rad; quiet space weather and winter conditions). Ionospheric spherical symmetry or asymmetries about the RO event location have only a minor influence on RIE biases. The RIE standard deviations are markedly increased both by ionospheric asymmetries and increasing solar activity and amount to about 0.3 to 0.7 mu rad in the upper stratosphere and mesosphere. Taking also into account the realistic observation errors of a modern RO receiving system, amounting globally to about 0.4 mu rad (unbiased; standard deviation), shows that the random RIEs are typically comparable to the total observing system error. The results help to inform future RIE mitigation schemes that will improve upon the use of the linear ionospheric correction of bending angles and also provide explicit uncertainty estimates.
WOS关键词GLOBAL POSITIONING SYSTEM ; EARTHS ATMOSPHERE ; TEMPERATURE PROFILES ; NEUTRAL ATMOSPHERE ; GPS/MET DATA ; GPS ; VALIDATION ; INVERSION ; MODEL ; UNCERTAINTY
WOS研究方向Meteorology & Atmospheric Sciences
语种英语
WOS记录号WOS:000358799900024
出版者COPERNICUS GESELLSCHAFT MBH
资助机构National Natural Science Foundation of China(41405039 ; National Natural Science Foundation of China(41405039 ; Australian Research Council (ARC)(LP0883288) ; Australian Research Council (ARC)(LP0883288) ; Australian Antarctic Division projects(4159) ; Australian Antarctic Division projects(4159) ; CAS/SAFEA International Partnership Program for Creative Research Teams(KZZD-EW-TZ-05) ; CAS/SAFEA International Partnership Program for Creative Research Teams(KZZD-EW-TZ-05) ; European Space Agency (ESA) ; European Space Agency (ESA) ; 41405040) ; 41405040) ; National Natural Science Foundation of China(41405039 ; National Natural Science Foundation of China(41405039 ; Australian Research Council (ARC)(LP0883288) ; Australian Research Council (ARC)(LP0883288) ; Australian Antarctic Division projects(4159) ; Australian Antarctic Division projects(4159) ; CAS/SAFEA International Partnership Program for Creative Research Teams(KZZD-EW-TZ-05) ; CAS/SAFEA International Partnership Program for Creative Research Teams(KZZD-EW-TZ-05) ; European Space Agency (ESA) ; European Space Agency (ESA) ; 41405040) ; 41405040) ; National Natural Science Foundation of China(41405039 ; National Natural Science Foundation of China(41405039 ; Australian Research Council (ARC)(LP0883288) ; Australian Research Council (ARC)(LP0883288) ; Australian Antarctic Division projects(4159) ; Australian Antarctic Division projects(4159) ; CAS/SAFEA International Partnership Program for Creative Research Teams(KZZD-EW-TZ-05) ; CAS/SAFEA International Partnership Program for Creative Research Teams(KZZD-EW-TZ-05) ; European Space Agency (ESA) ; European Space Agency (ESA) ; 41405040) ; 41405040) ; National Natural Science Foundation of China(41405039 ; National Natural Science Foundation of China(41405039 ; Australian Research Council (ARC)(LP0883288) ; Australian Research Council (ARC)(LP0883288) ; Australian Antarctic Division projects(4159) ; Australian Antarctic Division projects(4159) ; CAS/SAFEA International Partnership Program for Creative Research Teams(KZZD-EW-TZ-05) ; CAS/SAFEA International Partnership Program for Creative Research Teams(KZZD-EW-TZ-05) ; European Space Agency (ESA) ; European Space Agency (ESA) ; 41405040) ; 41405040)
源URL[http://ir.iggcas.ac.cn/handle/132A11/79855]  
专题中国科学院地质与地球物理研究所
通讯作者Liu, C. L.
作者单位1.Chinese Acad Sci, NSSC, Beijing, Peoples R China
2.RMIT Univ, SPACE Res Ctr, Melbourne, Vic, Australia
3.Graz Univ, Wegener Ctr Climate & Global Change WEGC, Graz, Austria
4.Graz Univ, IGAM IP, Graz, Austria
5.China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Xuzhou, Peoples R China
6.Chinese Acad Sci, IGG, Wuhan, Peoples R China
7.China Univ Geosci, Inst Geophys & Geomat, Wuhan 430074, Peoples R China
推荐引用方式
GB/T 7714		 Liu, C. L.,Kirchengast, G.,Zhang, K.,et al. Quantifying residual ionospheric errors in GNSS radio occultation bending angles based on ensembles of profiles from end-to-end simulations[J]. ATMOSPHERIC MEASUREMENT TECHNIQUES,2015,8(7):2999-3019.
APA Liu, C. L..,Kirchengast, G..,Zhang, K..,Norman, R..,Li, Y..,...&Tan, Z. X..(2015).Quantifying residual ionospheric errors in GNSS radio occultation bending angles based on ensembles of profiles from end-to-end simulations.ATMOSPHERIC MEASUREMENT TECHNIQUES,8(7),2999-3019.
MLA Liu, C. L.,et al."Quantifying residual ionospheric errors in GNSS radio occultation bending angles based on ensembles of profiles from end-to-end simulations".ATMOSPHERIC MEASUREMENT TECHNIQUES 8.7(2015):2999-3019.

入库方式： OAI收割

来源：地质与地球物理研究所

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