ANALYSING SEASONAL CHARACTERISTICS OF RESIDUAL IONOSPHERIC ERRORS IN BENDING ANGLES BASED ON ENSEMBLES OF PROFILES FROM END-TO-END SIMULATIONS
Liu, Congliang; Kirchengast, Gottfried; Sun, Yueqiang; Du, Qifei; Bai, Weihua; Wang, Xianyi; Meng, Xiangguang; Xia, Junming; Zhao, Danyang; Cai, Yuerong
2018
会议日期JUL 22-27, 2018
会议地点Valencia, SPAIN
关键词residual ionopheric error (RIE) bending angle seasonal characteristics GNSS RO
页码3143-3146
英文摘要The Global Navigation Satellite System (GNSS) radio occultation (RO) observation data is widely used for numerical weather prediction (NWP) and global climate monitoring (GCM). However, the residual higher-order ionospheric error (RIE) can still be significant. To further mitigate the RIEs, characterization and quantification of RIEs in bending angles have been performed by using end-to-end simulations. In this study, the seasonal characteristics of the RIEs in bending angles were analyzed by using larger ensembles of profiles from end-to-end simulations. The results indicated that the RIE is a major source of the bending angle in lower mesosphere and upper stratosphere (LMUS), and its bias has a clear negative tendency that in line with our previous studies. The preliminary analysis showed that, globally the average bias and standard deviation of RIEs changed slightly, while regionally they changed obviously. For the northern hemisphere middle latitude (NHM) region, the largest average bias and standard deviation of RIEs happened in summer, while the smallest ones happened in winter. This study helps to inform future RIE mitigation schemes for ensuring benchmark quality stratospheric RO data.
会议录IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
语种英语
ISSN号2153-6996
ISBN号978-1-5386-7150-4
内容类型会议论文
源URL[http://ir.nssc.ac.cn/handle/122/6688]  
专题国家空间科学中心_空间环境部
推荐引用方式
GB/T 7714
Liu, Congliang,Kirchengast, Gottfried,Sun, Yueqiang,et al. ANALYSING SEASONAL CHARACTERISTICS OF RESIDUAL IONOSPHERIC ERRORS IN BENDING ANGLES BASED ON ENSEMBLES OF PROFILES FROM END-TO-END SIMULATIONS[C]. 见:. Valencia, SPAIN. JUL 22-27, 2018.
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