Influence of input parameters for prediction of GPS and IRNSS TEC by using OKRSM at Hyderabad stations during solar flare event
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geophysics
Link
https://link.springer.com/content/pdf/10.1007/s11600-021-00712-4.pdf
Reference22 articles.
1. Ansari K, Panda SK, Corumluoglu O (2018) Mathematical modelling of ionospheric TEC from Turkish permanent GNSS Network (TPGN) observables during 2009–2017 and predictability of NeQuick and Kriging models. Astrophys Space Sci 363:42. https://doi.org/10.1007/s10509-018-3261-x
2. Desai MV, Shah SN (2019) Estimation of ionospheric delay of NavIC/IRNSS signals using the Taylor Series Expansion. J Space Weather Space Clim 9:A23. https://doi.org/10.1051/swsc/2019023
3. Desai MV, Shah SN (2020) An observational review on influence of intense geomagnetic storm on positional accuracy of NavIC system. IETE Tech Rev 37(3):281–295. https://doi.org/10.1080/02564602.2019.1599739
4. Devireddy K, Narsetty S, Ramavath AK, Perumalla NK (2020) Validation of the IRI-2016 model with Indian NavIC data for future navigation applications. IET Radar Sonar Navig 15(1):37–50. https://doi.org/10.1049/rsn2.12013
5. Erken F, Karatay S, Çınar A (2019) Spatio-temporal prediction of ionospheric total electron content using an adaptive data fusion technique. Geomagn Aeron. https://doi.org/10.1134/S001679321908005X
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Challenges and Future Applications for IRNSS with Machine Learning Algorithms;2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI);2024-03-14
2. Performance analysis of FFNN and Kriging model on prediction of ionospheric TEC during April 2022 – X 1.1 solar flare;International Journal of Ambient Energy;2024-01-23
3. Prediction of Ionospheric TEC Using RNN During the Indonesia Earthquakes Based on GPS Data and Comparison with the IRI Model;Lecture Notes in Networks and Systems;2024
4. Relationship Between the Evolution of Solar Magnetic Field and Flares in Different Active Regions;Journal of Physics: Conference Series;2022-05-01
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3