Articles | Volume 27, issue 4
https://doi.org/10.5194/angeo-27-1613-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/angeo-27-1613-2009
© Author(s) 2009. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
03 Apr 2009
The influence of geomagnetic storms on the estimation of GPS instrumental biases
W. Zhang
The Department of Geophysics, Peking University, China
D. H. Zhang
The Department of Geophysics, Peking University, China
Z. Xiao
The Department of Geophysics, Peking University, China
Viewed
Total article views: 3,330 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 01 Feb 2013)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,690 | 1,466 | 174 | 3,330 | 195 | 233 |
- HTML: 1,690
- PDF: 1,466
- XML: 174
- Total: 3,330
- BibTeX: 195
- EndNote: 233
Cited
42 citations as recorded by crossref.
- Estimation and analysis of GPS satellite DCB based on LEO observations J. Lin et al. https://doi.org/10.1007/s10291-014-0433-1
- Estimation of overbound on ionospheric spatial decorrelation over low‐latitude region for ground‐based augmentation systems S. Reddy Ammana & S. Achanta https://doi.org/10.1049/iet-rsn.2015.0469
- A regional ionospheric TEC mapping technique over China and adjacent areas: GNSS data processing and DINEOF analysis A. Ercha et al. https://doi.org/10.1007/s11432-015-5399-2
- ACCURACY ASSESSMENT OF PRECISE POINT POSITIONING WITH MULTI-CONSTELLATION GNSS DATA UNDER STRONG SOLAR BURST EFECTS S. Savchuk et al. https://doi.org/10.55676/asi.v3i1.54
- The nature of GPS differential receiver bias variability: An examination in the polar cap region D. Themens et al. https://doi.org/10.1002/2015JA021639
- Ground‐based GPS observation of SED‐associated irregularities over CONUS Y. Sun et al. https://doi.org/10.1029/2012JA018103
- Analysis of Ionospheric TEC and DCB Using GPS/Galileo Observations from a Moving Navy Training Ship B. Choi et al. https://doi.org/10.3390/atmos17040423
- Statistical analysis of ionospheric total electron content (TEC): long-term estimation of extreme TEC in Japan M. Nishioka et al. https://doi.org/10.1186/s40623-021-01374-8
- Reply to Comment on Choi et al. Correlation between Ionospheric TEC and the DCB Stability of GNSS Receivers from 2014 to 2016. Remote Sens. 2019, 11, 2657 B. Choi et al. https://doi.org/10.3390/rs12213510
- Estimation and analysis of GPS receiver differential code biases using KGN in Korean Peninsula B. Choi et al. https://doi.org/10.1016/j.asr.2010.12.021
- Morphological Characteristics of Equatorial Ionization Anomaly Crest Over Nanning Region X. Mo et al. https://doi.org/10.1002/2017RS006386
- Coupling of Ionospheric Disturbances with Dynamic Processes in the Troposphere G. Golubkov et al. https://doi.org/10.1134/S1990793122030058
- Improving DCB Estimation Using Uncombined PPP Y. Xiang & Y. Gao https://doi.org/10.1002/navi.207
- Influences of the day‐night differences of ionospheric variability on the estimation of GPS differential code bias L. Li et al. https://doi.org/10.1002/2014RS005565
- Storm and Substorm Causes and Effects at Midlatitude Location for the St. Patrick's 2013 and 2015 Events A. Guerrero et al. https://doi.org/10.1002/2017JA024224
- A Fault-Tolerant Integrated Borehole Trajectory Location Method Based on Geomagnetism/IMU of MWD H. Yang et al. https://doi.org/10.1109/ACCESS.2019.2949482
- A case study of the large-scale traveling ionospheric disturbances in the eastern Asian sector during the 2015 St. Patrick's Day geomagnetic storm J. Liu et al. https://doi.org/10.5194/angeo-37-673-2019
- Double-thin-shell approach to deriving total electron content from GNSS signals and implications for ionospheric dynamics near the magnetic equator T. Maruyama et al. https://doi.org/10.1186/s40623-021-01427-y
- Evaluation of the influence of high-order ionospheric delay on GPS undifferenced and uncombined precise point positioning X. Tian et al. https://doi.org/10.1007/s11600-023-01055-y
- A new algorithm for single receiver DCB estimation using IGS TEC maps M. Keshin https://doi.org/10.1007/s10291-011-0230-z
- CSES GNSS ionospheric inversion technique, validation and error analysis J. Lin et al. https://doi.org/10.1007/s11431-018-9245-6
- High-precision VTEC derivation with GEONET Q. Li et al. https://doi.org/10.1186/s40623-020-1137-0
- Analysis of factors affecting the estimation of the multi-GNSS satellite differential code biases (SDCBs) Y. Wang et al. https://doi.org/10.1016/j.asr.2024.03.041
- Temporal distribution of geomagnetic storms from 2008-2025: Towards a risk typology G. Karim et al. https://doi.org/10.5897/SRE2025.6805
- Timelines as a tool for learning about space weather storms D. Knipp et al. https://doi.org/10.1051/swsc/2021011
- Comparison of GPS receiver DCB estimation methods using a GPS network B. Choi et al. https://doi.org/10.5047/eps.2012.10.003
- Estimation of GPS instrumental biases from small scale network G. Ma et al. https://doi.org/10.1016/j.asr.2013.01.008
- DCB estimation and analysis using the single receiver GPS/GLONASS observations under various seasons and geomagnetic activities A. Wageeh et al. https://doi.org/10.1016/j.asr.2023.07.063
- The Influence of Tropospheric Processes on Disturbances in the D and E Ionospheric Layers O. Borchevkina et al. https://doi.org/10.3390/atmos12091116
- Influence of Ionospheric Variability in Solar Maximum and Solar Minimum Period on the Stability of Estimated GPS Instrumental Biases Y. JIN et al. https://doi.org/10.11728/cjss2013.04.427
- Latitudinal and interhemispheric differences of the ionospheric semi-diurnal lunitidal perturbations during the 2009 Arctic sudden stratospheric warming event in the eastern Asia–Australia sector J. Liu et al. https://doi.org/10.1186/s40623-022-01581-x
- Analysis of differential code biases for GPS receivers over the Indian region K. Sivakrishna & D. Venkata Ratnam https://doi.org/10.1515/jag-2023-0047
- On the estimation of higher-order ionospheric effects in precise point positioning S. Banville et al. https://doi.org/10.1007/s10291-017-0655-0
- Performance of BDS B1 Frequency Standard Point Positioning during the Main Phase of Different Classified Geomagnetic Storms in China and the Surrounding Area J. Xue et al. https://doi.org/10.3390/rs14051240
- Regional 3‐D ionospheric electron density specification on the basis of data assimilation of ground‐based GNSS and radio occultation data E. Aa et al. https://doi.org/10.1002/2016SW001363
- Influence of ionospheric diurnal variation on the estimated GPS differential code bias L. Li et al. https://doi.org/10.11728/cjss2015.02.143
- Ionospheric F-region response to geomagnetic disturbances A. Danilov https://doi.org/10.1016/j.asr.2013.04.019
- Statistical analysis on the ionospheric response over South American mid- and near high-latitudes during 70 intense geomagnetic storms occurred in the period of two decades A. de Abreu et al. https://doi.org/10.1016/j.jastp.2023.106060
- GLONASS-assisted improvement of TEC estimation during geomagnetic activities with a single GNSS receiver A. Wageeh et al. https://doi.org/10.1016/j.asr.2026.05.074
- The influence of grounding on GPS receiver differential code biases B. Choi & S. Lee https://doi.org/10.1016/j.asr.2018.04.033
- Correlation between Ionospheric TEC and the DCB Stability of GNSS Receivers from 2014 to 2016 B. Choi et al. https://doi.org/10.3390/rs11222657
- Characterization of multi-GNSS between-receiver differential code biases using zero and short baselines B. Zhang & P. Teunissen https://doi.org/10.1007/S11434-015-0911-Z
Latest update: 18 Oct 2026
